release v1.6.6

.gitattributes

@@ -1,8 +1,11 @@
+* text=auto eol=lf
+
 backend-python/rwkv_pip/** linguist-vendored
 backend-python/wkv_cuda_utils/** linguist-vendored
 backend-python/get-pip.py linguist-vendored
 backend-python/convert_model.py linguist-vendored
 backend-python/convert_safetensors.py linguist-vendored
+backend-python/convert_pytorch_to_ggml.py linguist-vendored
 backend-python/utils/midi.py linguist-vendored
 build/** linguist-vendored
 finetune/lora/** linguist-vendored

.github/dependabot.yml

@@ -0,0 +1,9 @@
+version: 2
+updates:
+  - package-ecosystem: "github-actions"
+    directory: "/"
+    schedule:
+      interval: "weekly"
+    commit-message:
+      prefix: "chore"
+      include: "scope"

.github/workflows/release.yml

@@ -48,16 +48,13 @@ jobs:
         id: cp310
         with:
           python-version: '3.10'
-      - uses: actions-rs/toolchain@v1
-        with:
-          toolchain: stable
-          override: true
-          target: wasm32-unknown-unknown
       - uses: crazy-max/ghaction-chocolatey@v2
         with:
           args: install upx
       - run: |
-          Start-BitsTransfer https://github.com/josStorer/LibreHardwareMonitor.Console/releases/download/v0.1.0/LibreHardwareMonitor.Console.zip ./LibreHardwareMonitor.Console.zip
+          Start-BitsTransfer https://github.com/josStorer/ai00_rwkv_server/releases/latest/download/webgpu_server_windows_x86_64.exe ./backend-rust/webgpu_server.exe
+          Start-BitsTransfer https://github.com/josStorer/web-rwkv-converter/releases/latest/download/web-rwkv-converter_windows_x86_64.exe ./backend-rust/web-rwkv-converter.exe
+          Start-BitsTransfer https://github.com/josStorer/LibreHardwareMonitor.Console/releases/latest/download/LibreHardwareMonitor.Console.zip ./LibreHardwareMonitor.Console.zip
           Expand-Archive ./LibreHardwareMonitor.Console.zip -DestinationPath ./components/LibreHardwareMonitor.Console
           Start-BitsTransfer https://www.python.org/ftp/python/3.10.11/python-3.10.11-embed-amd64.zip ./python-3.10.11-embed-amd64.zip
           Expand-Archive ./python-3.10.11-embed-amd64.zip -DestinationPath ./py310
@@ -67,13 +64,11 @@ jobs:
           Copy-Item -Path "${{ steps.cp310.outputs.python-path }}/../include" -Destination "py310/include" -Recurse
           Copy-Item -Path "${{ steps.cp310.outputs.python-path }}/../libs" -Destination "py310/libs" -Recurse
           ./py310/python -m pip install cyac==1.9
-          git clone https://github.com/josStorer/ai00_rwkv_server --depth=1
-          cd ai00_rwkv_server
-          cargo build --release
-          mv ./target/release/ai00_server.exe ../backend-rust/webgpu_server.exe
-          cd ..
           go install github.com/wailsapp/wails/v2/cmd/wails@latest
+          del ./backend-python/rwkv_pip/cpp/librwkv.dylib
+          del ./backend-python/rwkv_pip/cpp/librwkv.so
           (Get-Content -Path ./backend-golang/app.go) -replace "//go:custom_build windows ", "" | Set-Content -Path ./backend-golang/app.go
+          (Get-Content -Path ./backend-golang/utils.go) -replace "//go:custom_build windows ", "" | Set-Content -Path ./backend-golang/utils.go
           make
           Rename-Item -Path "build/bin/RWKV-Runner.exe" -NewName "RWKV-Runner_windows_x64.exe"
 
@@ -89,28 +84,21 @@ jobs:
       - uses: actions/setup-go@v4
         with:
           go-version: '1.20.5'
-      - uses: actions-rs/toolchain@v1
-        with:
-          toolchain: stable
-          override: true
-          target: wasm32-unknown-unknown
       - run: |
+          wget https://github.com/josStorer/ai00_rwkv_server/releases/latest/download/webgpu_server_linux_x86_64 -O ./backend-rust/webgpu_server
+          wget https://github.com/josStorer/web-rwkv-converter/releases/latest/download/web-rwkv-converter_linux_x86_64 -O ./backend-rust/web-rwkv-converter
           sudo apt-get update
           sudo apt-get install upx
-          sudo apt-get install build-essential libgtk-3-dev libwebkit2gtk-4.0-dev
-          git clone https://github.com/josStorer/ai00_rwkv_server --depth=1
-          cd ai00_rwkv_server
-          sudo apt-get install libudev-dev
-          sudo apt-get install libasound2-dev
-          rustup target add x86_64-unknown-linux-gnu
-          cargo build --release --target x86_64-unknown-linux-gnu
-          mv ./target/x86_64-unknown-linux-gnu/release/ai00_server ../backend-rust/webgpu_server
-          cd ..
+          sudo apt-get install build-essential libgtk-3-dev libwebkit2gtk-4.0-dev libasound2-dev
           go install github.com/wailsapp/wails/v2/cmd/wails@latest
           rm ./backend-python/rwkv_pip/wkv_cuda.pyd
           rm ./backend-python/rwkv_pip/rwkv5.pyd
+          rm ./backend-python/rwkv_pip/rwkv6.pyd
           rm ./backend-python/rwkv_pip/beta/wkv_cuda.pyd
           rm ./backend-python/get-pip.py
+          rm ./backend-python/rwkv_pip/cpp/librwkv.dylib
+          rm ./backend-python/rwkv_pip/cpp/rwkv.dll
+          rm ./backend-python/rwkv_pip/webgpu/web_rwkv_py.cp310-win_amd64.pyd
           make
           mv build/bin/RWKV-Runner build/bin/RWKV-Runner_linux_x64
 
@@ -126,22 +114,18 @@ jobs:
       - uses: actions/setup-go@v4
         with:
           go-version: '1.20.5'
-      - uses: actions-rs/toolchain@v1
-        with:
-          toolchain: stable
-          override: true
-          target: wasm32-unknown-unknown
       - run: |
-          git clone https://github.com/josStorer/ai00_rwkv_server --depth=1
-          cd ai00_rwkv_server
-          cargo build --release
-          mv ./target/release/ai00_server ../backend-rust/webgpu_server
-          cd ..
+          wget https://github.com/josStorer/ai00_rwkv_server/releases/latest/download/webgpu_server_darwin_aarch64 -O ./backend-rust/webgpu_server
+          wget https://github.com/josStorer/web-rwkv-converter/releases/latest/download/web-rwkv-converter_darwin_aarch64 -O ./backend-rust/web-rwkv-converter
           go install github.com/wailsapp/wails/v2/cmd/wails@latest
           rm ./backend-python/rwkv_pip/wkv_cuda.pyd
           rm ./backend-python/rwkv_pip/rwkv5.pyd
+          rm ./backend-python/rwkv_pip/rwkv6.pyd
           rm ./backend-python/rwkv_pip/beta/wkv_cuda.pyd
           rm ./backend-python/get-pip.py
+          rm ./backend-python/rwkv_pip/cpp/rwkv.dll
+          rm ./backend-python/rwkv_pip/cpp/librwkv.so
+          rm ./backend-python/rwkv_pip/webgpu/web_rwkv_py.cp310-win_amd64.pyd
           make
           cp build/darwin/Readme_Install.txt build/bin/Readme_Install.txt
           cp build/bin/RWKV-Runner.app/Contents/MacOS/RWKV-Runner build/bin/RWKV-Runner_darwin_universal

.gitignore

@@ -8,6 +8,7 @@ __pycache__
 *.st
 *.safetensors
 *.bin
+*.mid
 /config.json
 /cache.json
 /presets.json
@@ -18,7 +19,7 @@ __pycache__
 /cmd-helper.bat
 /install-py-dep.bat
 /backend-python/wkv_cuda
-/backend-python/rwkv5
+/backend-python/rwkv*
 *.exe
 *.old
 .DS_Store

CURRENT_CHANGE.md

@@ -1,45 +1,17 @@
 ## Changes
 
-### Features
-
-- allow conversation with some document (.pdf, .txt) (Experimental)
-- add `/file-to-text` api
-- allow avatarImg to be local absolute path
-- base64 preset support
-
-### Upgrades
-
-- upgrade to rwkv 0.8.16 (DirectML support; rwkv 5.2 no longer needs to ensure custom cuda kernel enabled)
-- upgrade to webgpu 0.2.2 (WebGPU Mode is now recommended for AMD and Intel
-  Users) (https://github.com/josStorer/ai00_rwkv_server)
-- upgrade python packages
-
-### Improvements
-
-- improve cuda kernel compatibility (compute compatibility 5.3, Jetson Nano, Nvidia 10 Series+)
-- RWKVType now no longer relies on the file name (use emb)
-- improve message interruption and retry for Chat page
-- update sample.jsonl of LoRA finetune
-- update api stop strategy for better custom user_name and assistant_name support
-- edited chat message now is marked as Normal
-- change default World series prefix to User/Assistant
-
-### Chores
-
-- update manifest.json (RWKV-5)
-- update readme and client text description
-- add pip --no-warn-script-location
-- mark rwkv raven series as old model
-- chore
-
-### Fixes
-
-- fix linux kernel (partial revert 68228a45)
-- fix the `make` command on Linux and macOS, no longer need manual operations on the wsl.go file. (#158, #173, #207)
+- improve refreshRemoteModels
+- reduce precompiled web_rwkv_py size
+- webgpu(Python) max_buffer_size (12B support) and turbo
+- improve role-playing effect
+- update manifest.json (a lot of new models)
+- bump webgpu(ai00_server) mode to v0.3.8
+- improve details
 
 ## Install
 
 - Windows: https://github.com/josStorer/RWKV-Runner/blob/master/build/windows/Readme_Install.txt
 - MacOS: https://github.com/josStorer/RWKV-Runner/blob/master/build/darwin/Readme_Install.txt
 - Linux: https://github.com/josStorer/RWKV-Runner/blob/master/build/linux/Readme_Install.txt
-- Server-Deploy-Examples: https://github.com/josStorer/RWKV-Runner/tree/master/deploy-examples
+- Simple Deploy Example: https://github.com/josStorer/RWKV-Runner/blob/master/README.md#simple-deploy-example
+- Server Deploy Examples: https://github.com/josStorer/RWKV-Runner/tree/master/deploy-examples

Makefile

@@ -8,16 +8,26 @@ endif
 
 build-windows:
 	@echo ---- build for windows
-	wails build -upx -ldflags "-s -w" -platform windows/amd64
+	wails build -upx -ldflags '-s -w -extldflags "-static"' -platform windows/amd64
 
 build-macos:
 	@echo ---- build for macos
-	wails build -ldflags "-s -w" -platform darwin/universal
+	wails build -ldflags '-s -w' -platform darwin/universal
 
 build-linux:
 	@echo ---- build for linux
-	wails build -upx -ldflags "-s -w" -platform linux/amd64
+	wails build -upx -ldflags '-s -w' -platform linux/amd64
+
+build-web:
+	@echo ---- build for web
+	cd frontend && npm run build
 
 dev:
 	wails dev
 
+dev-web:
+	cd frontend && npm run dev
+
+preview:
+	cd frontend && npm run preview
+

README.md

@@ -21,7 +21,7 @@ English | [简体中文](README_ZH.md) | [日本語](README_JA.md)
 [![MacOS][MacOS-image]][MacOS-url]
 [![Linux][Linux-image]][Linux-url]
 
-[FAQs](https://github.com/josStorer/RWKV-Runner/wiki/FAQs) | [Preview](#Preview) | [Download][download-url] | [Server-Deploy-Examples](https://github.com/josStorer/RWKV-Runner/tree/master/deploy-examples)
+[FAQs](https://github.com/josStorer/RWKV-Runner/wiki/FAQs) | [Preview](#Preview) | [Download][download-url] | [Simple Deploy Example](#Simple-Deploy-Example) | [Server Deploy Examples](https://github.com/josStorer/RWKV-Runner/tree/master/deploy-examples) | [MIDI Hardware Input](#MIDI-Input)
 
 [license-image]: http://img.shields.io/badge/license-MIT-blue.svg
 
@@ -47,30 +47,74 @@ English | [简体中文](README_ZH.md) | [日本語](README_JA.md)
 
 </div>
 
-#### Tip: You can deploy [backend-python](./backend-python/) on a server and use this program as a client only. Fill in your server address in the Settings `API URL`.
+## Tips
 
-#### Default configs has enabled custom CUDA kernel acceleration, which is much faster and consumes much less VRAM. If you encounter possible compatibility issues (output garbled), go to the Configs page and turn off `Use Custom CUDA kernel to Accelerate`, or try to upgrade your gpu driver.
+- You can deploy [backend-python](./backend-python/) on a server and use this program as a client only. Fill in
+  your server address in the Settings `API URL`.
 
-#### If Windows Defender claims this is a virus, you can try downloading [v1.3.7_win.zip](https://github.com/josStorer/RWKV-Runner/releases/download/v1.3.7/RWKV-Runner_win.zip) and letting it update automatically to the latest version, or add it to the trusted list (`Windows Security` -> `Virus & threat protection` -> `Manage settings` -> `Exclusions` -> `Add or remove exclusions` -> `Add an exclusion` -> `Folder` -> `RWKV-Runner`).
+- If you are deploying and providing public services, please limit the request size through API gateway to prevent
+  excessive resource usage caused by submitting overly long prompts. Additionally, please restrict the upper limit of
+  requests' max_tokens based on your actual
+  situation: https://github.com/josStorer/RWKV-Runner/blob/master/backend-python/utils/rwkv.py#L567, the default is set
+  as le=102400, which may result in significant resource consumption for individual responses in extreme cases.
 
-#### For different tasks, adjusting API parameters can achieve better results. For example, for translation tasks, you can try setting Temperature to 1 and Top_P to 0.3.
+- Default configs has enabled custom CUDA kernel acceleration, which is much faster and consumes much less VRAM. If you
+  encounter possible compatibility issues (output garbled), go to the Configs page and turn
+  off `Use Custom CUDA kernel to Accelerate`, or try to upgrade your gpu driver.
+
+- If Windows Defender claims this is a virus, you can try
+  downloading [v1.3.7_win.zip](https://github.com/josStorer/RWKV-Runner/releases/download/v1.3.7/RWKV-Runner_win.zip)
+  and letting it update automatically to the latest version, or add it to the trusted
+  list (`Windows Security` -> `Virus & threat protection` -> `Manage settings` -> `Exclusions` -> `Add or remove exclusions` -> `Add an exclusion` -> `Folder` -> `RWKV-Runner`).
+
+- For different tasks, adjusting API parameters can achieve better results. For example, for translation tasks, you can
+  try setting Temperature to 1 and Top_P to 0.3.
 
 ## Features
 
-- RWKV model management and one-click startup
-- Fully compatible with the OpenAI API, making every ChatGPT client an RWKV client. After starting the model,
+- RWKV model management and one-click startup.
+- Front-end and back-end separation, if you don't want to use the client, also allows for separately deploying the
+  front-end service, or the back-end inference service, or the back-end inference service with a WebUI.
+  [Simple Deploy Example](#Simple-Deploy-Example) | [Server Deploy Examples](https://github.com/josStorer/RWKV-Runner/tree/master/deploy-examples)
+- Compatible with the OpenAI API, making every ChatGPT client an RWKV client. After starting the model,
   open http://127.0.0.1:8000/docs to view more details.
-- Automatic dependency installation, requiring only a lightweight executable program
-- Configs with 2G to 32G VRAM are included, works well on almost all computers
-- User-friendly chat and completion interaction interface included
-- Easy-to-understand and operate parameter configuration
-- Built-in model conversion tool
-- Built-in download management and remote model inspection
-- Built-in one-click LoRA Finetune
-- Can also be used as an OpenAI ChatGPT and GPT-Playground client
-- Multilingual localization
-- Theme switching
-- Automatic updates
+- Automatic dependency installation, requiring only a lightweight executable program.
+- Pre-set multi-level VRAM configs, works well on almost all computers. In Configs page, switch Strategy to WebGPU, it
+  can also run on AMD, Intel, and other graphics cards.
+- User-friendly chat, completion, and composition interaction interface included. Also supports chat presets, attachment
+  uploads, MIDI hardware input, and track editing.
+  [Preview](#Preview) | [MIDI Hardware Input](#MIDI-Input)
+- Built-in WebUI option, one-click start of Web service, sharing your hardware resources.
+- Easy-to-understand and operate parameter configuration, along with various operation guidance prompts.
+- Built-in model conversion tool.
+- Built-in download management and remote model inspection.
+- Built-in one-click LoRA Finetune. (Windows Only)
+- Can also be used as an OpenAI ChatGPT and GPT-Playground client. (Fill in the API URL and API Key in Settings page)
+- Multilingual localization.
+- Theme switching.
+- Automatic updates.
+
+## Simple Deploy Example
+
+```bash
+git clone https://github.com/josStorer/RWKV-Runner
+
+# Then
+cd RWKV-Runner
+python ./backend-python/main.py #The backend inference service has been started, request /switch-model API to load the model, refer to the API documentation: http://127.0.0.1:8000/docs
+
+# Or
+cd RWKV-Runner/frontend
+npm ci
+npm run build #Compile the frontend
+cd ..
+python ./backend-python/webui_server.py #Start the frontend service separately
+# Or
+python ./backend-python/main.py --webui #Start the frontend and backend service at the same time
+
+# Help Info
+python ./backend-python/main.py -h
+```
 
 ## API Concurrency Stress Testing
 
@@ -133,40 +177,98 @@ for i in np.argsort(embeddings_cos_sim)[::-1]:
     print(f"{embeddings_cos_sim[i]:.10f} - {values[i]}")
 ```
 
+## MIDI Input
+
+Tip: You can download https://github.com/josStorer/sgm_plus and unzip it to the program's `assets/sound-font` directory
+to use it as an offline sound source. Please note that if you are compiling the program from source code, do not place
+it in the source code directory.
+
+If you don't have a MIDI keyboard, you can use virtual MIDI input software like `Virtual Midi Controller 3 LE`, along
+with [loopMIDI](https://www.tobias-erichsen.de/wp-content/uploads/2020/01/loopMIDISetup_1_0_16_27.zip), to use a regular
+computer keyboard as MIDI input.
+
+### USB MIDI Connection
+
+- USB MIDI devices are plug-and-play, and you can select your input device in the Composition page
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/13bb92c3-4504-482d-ab82-026ac6c31095)
+
+### Mac MIDI Bluetooth Connection
+
+- For Mac users who want to use Bluetooth input,
+  please install [Bluetooth MIDI Connect](https://apps.apple.com/us/app/bluetooth-midi-connect/id1108321791), then click
+  the tray icon to connect after launching,
+  afterwards, you can select your input device in the Composition page.
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/c079a109-1e3d-45c1-bbf5-eed85da1550e)
+
+### Windows MIDI Bluetooth Connection
+
+- Windows seems to have implemented Bluetooth MIDI support only for UWP (Universal Windows Platform) apps. Therefore, it
+  requires multiple steps to establish a connection. We need to create a local virtual MIDI device and then launch a UWP
+  application. Through this UWP application, we will redirect Bluetooth MIDI input to the virtual MIDI device, and then
+  this software will listen to the input from the virtual MIDI device.
+- So, first, you need to
+  download [loopMIDI](https://www.tobias-erichsen.de/wp-content/uploads/2020/01/loopMIDISetup_1_0_16_27.zip)
+  to create a virtual MIDI device. Click the plus sign in the bottom left corner to create the device.
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/b75998ff-115c-4ddd-b97c-deeb5c106255)
+- Next, you need to download [Bluetooth LE Explorer](https://apps.microsoft.com/detail/9N0ZTKF1QD98) to discover and
+  connect to Bluetooth MIDI devices. Click "Start" to search for devices, and then click "Pair" to bind the MIDI device.
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/c142c3ea-a973-4531-9807-4c385d640a2b)
+- Finally, you need to install [MIDIberry](https://apps.microsoft.com/detail/9N39720H2M05),
+  This UWP application can redirect Bluetooth MIDI input to the virtual MIDI device. After launching it, double-click
+  your actual Bluetooth MIDI device name in the input field, and in the output field, double-click the virtual MIDI
+  device name we created earlier.
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/5ad6a1d9-4f68-4d95-ae17-4296107d1669)
+- Now, you can select the virtual MIDI device as the input in the Composition page. Bluetooth LE Explorer no longer
+  needs to run, and you can also close the loopMIDI window, it will run automatically in the background. Just keep
+  MIDIberry open.
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/1c371821-c7b7-4c18-8e42-9e315efbe427)
+
 ## Related Repositories:
 
+- RWKV-5-World: https://huggingface.co/BlinkDL/rwkv-5-world/tree/main
 - RWKV-4-World: https://huggingface.co/BlinkDL/rwkv-4-world/tree/main
 - RWKV-4-Raven: https://huggingface.co/BlinkDL/rwkv-4-raven/tree/main
 - ChatRWKV: https://github.com/BlinkDL/ChatRWKV
 - RWKV-LM: https://github.com/BlinkDL/RWKV-LM
 - RWKV-LM-LoRA: https://github.com/Blealtan/RWKV-LM-LoRA
 - MIDI-LLM-tokenizer: https://github.com/briansemrau/MIDI-LLM-tokenizer
+- ai00_rwkv_server: https://github.com/cgisky1980/ai00_rwkv_server
+- rwkv.cpp: https://github.com/saharNooby/rwkv.cpp
+- web-rwkv-py: https://github.com/cryscan/web-rwkv-py
 
 ## Preview
 
 ### Homepage
 
-![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/d7f24d80-f382-428d-8b28-edf87e1549e2)
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/c9b9cdd0-63f9-4319-9f74-5bf5d7df5a67)
 
 ### Chat
 
 ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/80009872-528f-4932-aeb2-f724fa892e7c)
 
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/e98c9038-3323-47b0-8edb-d639fafd37b2)
+
 ### Completion
 
 ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/bf49de8e-3b89-4543-b1ef-7cd4b19a1836)
 
 ### Composition
 
+Tip: You can download https://github.com/josStorer/sgm_plus and unzip it to the program's `assets/sound-font` directory
+to use it as an offline sound source. Please note that if you are compiling the program from source code, do not place
+it in the source code directory.
+
 ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/e8ad908d-3fd2-4e92-bcdb-96815cb836ee)
 
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/b2ce4761-9e75-477e-a182-d0255fb8ac76)
+
 ### Configuration
 
-![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/48befdc6-e03c-4851-9bee-22f77ee2640e)
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/f41060dc-5517-44af-bb3f-8ef71720016d)
 
 ### Model Management
 
-![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/367fe4f8-cc12-475f-9371-3cf62cdbf293)
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/b1581147-a6ce-4493-8010-e33c0ddeca0a)
 
 ### Download Management
 

README_JA.md

@@ -21,7 +21,7 @@
 [![MacOS][MacOS-image]][MacOS-url]
 [![Linux][Linux-image]][Linux-url]
 
-[FAQs](https://github.com/josStorer/RWKV-Runner/wiki/FAQs) | [プレビュー](#Preview) | [ダウンロード][download-url] | [サーバーデプロイ例](https://github.com/josStorer/RWKV-Runner/tree/master/deploy-examples)
+[FAQs](https://github.com/josStorer/RWKV-Runner/wiki/FAQs) | [プレビュー](#Preview) | [ダウンロード][download-url] | [シンプルなデプロイの例](#Simple-Deploy-Example) | [サーバーデプロイ例](https://github.com/josStorer/RWKV-Runner/tree/master/deploy-examples) | [MIDIハードウェア入力](#MIDI-Input)
 
 [license-image]: http://img.shields.io/badge/license-MIT-blue.svg
 
@@ -47,31 +47,71 @@
 
 </div>
 
-#### ヒント：サーバーに[backend-python](./backend-python/)をデプロイし、このプログラムをクライアントとして使用することができます。設定された`API URL`にサーバーアドレスを入力してください。
+## ヒント
 
-#### デフォルトの設定はカスタム CUDA カーネルアクセラレーションを有効にしています。互換性の問題 (文字化けを出力する) が発生する可能性がある場合は、コンフィグページに移動し、`Use Custom CUDA kernel to Accelerate` をオフにしてください、あるいは、GPUドライバーをアップグレードしてみてください。
+- サーバーに [backend-python](./backend-python/)
+  をデプロイし、このプログラムをクライアントとして使用することができます。設定された`API URL`にサーバーアドレスを入力してください。
 
-#### Windows Defender がこれをウイルスだと主張する場合は、[v1.3.7_win.zip](https://github.com/josStorer/RWKV-Runner/releases/download/v1.3.7/RWKV-Runner_win.zip) をダウンロードして最新版に自動更新させるか、信頼済みリストに追加してみてください (`Windows Security` -> `Virus & threat protection` -> `Manage settings` -> `Exclusions` -> `Add or remove exclusions` -> `Add an exclusion` -> `Folder` -> `RWKV-Runner`)。
+- もし、あなたがデプロイし、外部に公開するサービスを提供している場合、APIゲートウェイを使用してリクエストのサイズを制限し、
+  長すぎるプロンプトの提出がリソースを占有しないようにしてください。さらに、実際の状況に応じて、リクエストの max_tokens
+  の上限を制限してください：https://github.com/josStorer/RWKV-Runner/blob/master/backend-python/utils/rwkv.py#L567
+  、デフォルトは le=102400 ですが、極端な場合には単一の応答が大量のリソースを消費する可能性があります。
 
-#### 異なるタスクについては、API パラメータを調整することで、より良い結果を得ることができます。例えば、翻訳タスクの場合、Temperature を 1 に、Top_P を 0.3 に設定してみてください。
+- デフォルトの設定はカスタム CUDA カーネルアクセラレーションを有効にしています。互換性の問題 (文字化けを出力する)
+  が発生する可能性がある場合は、コンフィグページに移動し、`Use Custom CUDA kernel to Accelerate`
+  をオフにしてください、あるいは、GPUドライバーをアップグレードしてみてください。
+
+- Windows Defender
+  がこれをウイルスだと主張する場合は、[v1.3.7_win.zip](https://github.com/josStorer/RWKV-Runner/releases/download/v1.3.7/RWKV-Runner_win.zip)
+  をダウンロードして最新版に自動更新させるか、信頼済みリストに追加してみてください (`Windows Security` -> `Virus & threat protection` -> `Manage settings` -> `Exclusions` -> `Add or remove exclusions` -> `Add an exclusion` -> `Folder` -> `RWKV-Runner`)。
+
+- 異なるタスクについては、API パラメータを調整することで、より良い結果を得ることができます。例えば、翻訳タスクの場合、Temperature
+  を 1 に、Top_P を 0.3 に設定してみてください。
 
 ## 特徴
 
 - RWKV モデル管理とワンクリック起動
-- OpenAI API と完全に互換性があり、すべての ChatGPT クライアントを RWKV クライアントにします。モデル起動後、
+- フロントエンドとバックエンドの分離は、クライアントを使用しない場合でも、フロントエンドサービス、またはバックエンド推論サービス、またはWebUIを備えたバックエンド推論サービスを個別に展開することを可能にします。
+  [シンプルなデプロイの例](#Simple-Deploy-Example) | [サーバーデプロイ例](https://github.com/josStorer/RWKV-Runner/tree/master/deploy-examples)
+- OpenAI API と互換性があり、すべての ChatGPT クライアントを RWKV クライアントにします。モデル起動後、
   http://127.0.0.1:8000/docs を開いて詳細をご覧ください。
 - 依存関係の自動インストールにより、軽量な実行プログラムのみを必要とします
-- 2G から 32G の VRAM のコンフィグが含まれており、ほとんどのコンピュータで動作します
-- ユーザーフレンドリーなチャットと完成インタラクションインターフェースを搭載
-- 分かりやすく操作しやすいパラメータ設定
+- 事前設定された多段階のVRAM設定、ほとんどのコンピュータで動作します。配置ページで、ストラテジーをWebGPUに切り替えると、AMD、インテル、その他のグラフィックカードでも動作します
+- ユーザーフレンドリーなチャット、完成、および作曲インターフェイスが含まれています。また、チャットプリセット、添付ファイルのアップロード、MIDIハードウェア入力、トラック編集もサポートしています。
+  [プレビュー](#Preview) | [MIDIハードウェア入力](#MIDI-Input)
+- 内蔵WebUIオプション、Webサービスのワンクリック開始、ハードウェアリソースの共有
+- 分かりやすく操作しやすいパラメータ設定、各種操作ガイダンスプロンプトとともに
 - 内蔵モデル変換ツール
 - ダウンロード管理とリモートモデル検査機能内蔵
-- 内蔵のLoRA微調整機能を搭載しています
-- このプログラムは、OpenAI ChatGPTとGPT Playgroundのクライアントとしても使用できます
+- 内蔵のLoRA微調整機能を搭載しています (Windowsのみ)
+- このプログラムは、OpenAI ChatGPTとGPT Playgroundのクライアントとしても使用できます（設定ページで `API URL` と `API Key`
+  を入力してください）
 - 多言語ローカライズ
 - テーマ切り替え
 - 自動アップデート
 
+## Simple Deploy Example
+
+```bash
+git clone https://github.com/josStorer/RWKV-Runner
+
+# Then
+cd RWKV-Runner
+python ./backend-python/main.py #The backend inference service has been started, request /switch-model API to load the model, refer to the API documentation: http://127.0.0.1:8000/docs
+
+# Or
+cd RWKV-Runner/frontend
+npm ci
+npm run build #Compile the frontend
+cd ..
+python ./backend-python/webui_server.py #Start the frontend service separately
+# Or
+python ./backend-python/main.py --webui #Start the frontend and backend service at the same time
+
+# Help Info
+python ./backend-python/main.py -h
+```
+
 ## API 同時実行ストレステスト
 
 ```bash
@@ -134,40 +174,98 @@ for i in np.argsort(embeddings_cos_sim)[::-1]:
     print(f"{embeddings_cos_sim[i]:.10f} - {values[i]}")
 ```
 
+## MIDI Input
+
+Tip: You can download https://github.com/josStorer/sgm_plus and unzip it to the program's `assets/sound-font` directory
+to use it as an offline sound source. Please note that if you are compiling the program from source code, do not place
+it in the source code directory.
+
+MIDIキーボードをお持ちでない場合、`Virtual Midi Controller 3 LE`
+などの仮想MIDI入力ソフトウェアを使用することができます。[loopMIDI](https://www.tobias-erichsen.de/wp-content/uploads/2020/01/loopMIDISetup_1_0_16_27.zip)
+を組み合わせて、通常のコンピュータキーボードをMIDI入力として使用できます。
+
+### USB MIDI Connection
+
+- USB MIDI devices are plug-and-play, and you can select your input device in the Composition page
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/13bb92c3-4504-482d-ab82-026ac6c31095)
+
+### Mac MIDI Bluetooth Connection
+
+- For Mac users who want to use Bluetooth input,
+  please install [Bluetooth MIDI Connect](https://apps.apple.com/us/app/bluetooth-midi-connect/id1108321791), then click
+  the tray icon to connect after launching,
+  afterwards, you can select your input device in the Composition page.
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/c079a109-1e3d-45c1-bbf5-eed85da1550e)
+
+### Windows MIDI Bluetooth Connection
+
+- Windows seems to have implemented Bluetooth MIDI support only for UWP (Universal Windows Platform) apps. Therefore, it
+  requires multiple steps to establish a connection. We need to create a local virtual MIDI device and then launch a UWP
+  application. Through this UWP application, we will redirect Bluetooth MIDI input to the virtual MIDI device, and then
+  this software will listen to the input from the virtual MIDI device.
+- So, first, you need to
+  download [loopMIDI](https://www.tobias-erichsen.de/wp-content/uploads/2020/01/loopMIDISetup_1_0_16_27.zip)
+  to create a virtual MIDI device. Click the plus sign in the bottom left corner to create the device.
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/b75998ff-115c-4ddd-b97c-deeb5c106255)
+- Next, you need to download [Bluetooth LE Explorer](https://apps.microsoft.com/detail/9N0ZTKF1QD98) to discover and
+  connect to Bluetooth MIDI devices. Click "Start" to search for devices, and then click "Pair" to bind the MIDI device.
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/c142c3ea-a973-4531-9807-4c385d640a2b)
+- Finally, you need to install [MIDIberry](https://apps.microsoft.com/detail/9N39720H2M05),
+  This UWP application can redirect Bluetooth MIDI input to the virtual MIDI device. After launching it, double-click
+  your actual Bluetooth MIDI device name in the input field, and in the output field, double-click the virtual MIDI
+  device name we created earlier.
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/5ad6a1d9-4f68-4d95-ae17-4296107d1669)
+- Now, you can select the virtual MIDI device as the input in the Composition page. Bluetooth LE Explorer no longer
+  needs to run, and you can also close the loopMIDI window, it will run automatically in the background. Just keep
+  MIDIberry open.
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/1c371821-c7b7-4c18-8e42-9e315efbe427)
+
 ## 関連リポジトリ:
 
+- RWKV-5-World: https://huggingface.co/BlinkDL/rwkv-5-world/tree/main
 - RWKV-4-World: https://huggingface.co/BlinkDL/rwkv-4-world/tree/main
 - RWKV-4-Raven: https://huggingface.co/BlinkDL/rwkv-4-raven/tree/main
 - ChatRWKV: https://github.com/BlinkDL/ChatRWKV
 - RWKV-LM: https://github.com/BlinkDL/RWKV-LM
 - RWKV-LM-LoRA: https://github.com/Blealtan/RWKV-LM-LoRA
 - MIDI-LLM-tokenizer: https://github.com/briansemrau/MIDI-LLM-tokenizer
+- ai00_rwkv_server: https://github.com/cgisky1980/ai00_rwkv_server
+- rwkv.cpp: https://github.com/saharNooby/rwkv.cpp
+- web-rwkv-py: https://github.com/cryscan/web-rwkv-py
 
-## プレビュー
+## Preview
 
 ### ホームページ
 
-![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/d7f24d80-f382-428d-8b28-edf87e1549e2)
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/c9b9cdd0-63f9-4319-9f74-5bf5d7df5a67)
 
 ### チャット
 
 ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/80009872-528f-4932-aeb2-f724fa892e7c)
 
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/e98c9038-3323-47b0-8edb-d639fafd37b2)
+
 ### 補完
 
 ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/bf49de8e-3b89-4543-b1ef-7cd4b19a1836)
 
 ### 作曲
 
+Tip: You can download https://github.com/josStorer/sgm_plus and unzip it to the program's `assets/sound-font` directory
+to use it as an offline sound source. Please note that if you are compiling the program from source code, do not place
+it in the source code directory.
+
 ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/e8ad908d-3fd2-4e92-bcdb-96815cb836ee)
 
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/b2ce4761-9e75-477e-a182-d0255fb8ac76)
+
 ### コンフィグ
 
-![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/48befdc6-e03c-4851-9bee-22f77ee2640e)
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/f41060dc-5517-44af-bb3f-8ef71720016d)
 
 ### モデル管理
 
-![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/367fe4f8-cc12-475f-9371-3cf62cdbf293)
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/b1581147-a6ce-4493-8010-e33c0ddeca0a)
 
 ### ダウンロード管理
 

README_ZH.md

@@ -20,7 +20,7 @@ API兼容的接口，这意味着一切ChatGPT客户端都是RWKV客户端。
 [![MacOS][MacOS-image]][MacOS-url]
 [![Linux][Linux-image]][Linux-url]
 
-[视频演示](https://www.bilibili.com/video/BV1hM4y1v76R) | [疑难解答](https://www.bilibili.com/read/cv23921171) | [预览](#Preview) | [下载][download-url] | [懒人包](https://pan.baidu.com/s/1zdzZ_a0uM3gDqi6pXIZVAA?pwd=1111) | [服务器部署示例](https://github.com/josStorer/RWKV-Runner/tree/master/deploy-examples)
+[视频演示](https://www.bilibili.com/video/BV1hM4y1v76R) | [疑难解答](https://www.bilibili.com/read/cv23921171) | [预览](#Preview) | [下载][download-url] | [懒人包](https://pan.baidu.com/s/1zdzZ_a0uM3gDqi6pXIZVAA?pwd=1111) | [简明服务部署示例](#Simple-Deploy-Example) | [服务器部署示例](https://github.com/josStorer/RWKV-Runner/tree/master/deploy-examples) | [MIDI硬件输入](#MIDI-Input)
 
 [license-image]: http://img.shields.io/badge/license-MIT-blue.svg
 
@@ -46,30 +46,65 @@ API兼容的接口，这意味着一切ChatGPT客户端都是RWKV客户端。
 
 </div>
 
-#### 小贴士：你可以在服务器部署[backend-python](./backend-python/)，然后将此程序仅用作客户端，在设置的`API URL`中填入你的服务器地址
+## 小贴士
 
-#### 预设配置已经开启自定义CUDA算子加速，速度更快，且显存消耗更少。如果你遇到可能的兼容性(输出乱码)问题，前往配置页面，关闭`使用自定义CUDA算子加速`，或更新你的显卡驱动
+- 你可以在服务器部署[backend-python](./backend-python/)，然后将此程序仅用作客户端，在设置的`API URL`中填入你的服务器地址
 
-#### 如果Windows Defender说这是一个病毒，你可以尝试下载[v1.3.7_win.zip](https://github.com/josStorer/RWKV-Runner/releases/download/v1.3.7/RWKV-Runner_win.zip)，然后让其自动更新到最新版，或添加信任 (`Windows Security` -> `Virus & threat protection` -> `Manage settings` -> `Exclusions` -> `Add or remove exclusions` -> `Add an exclusion` -> `Folder` -> `RWKV-Runner`)
+- 如果你正在部署并对外提供公开服务，请通过API网关限制请求大小，避免过长的prompt提交占用资源。此外，请根据你的实际情况，限制请求的
+  max_tokens 上限: https://github.com/josStorer/RWKV-Runner/blob/master/backend-python/utils/rwkv.py#L567,
+  默认le=102400, 这可能导致极端情况下单个响应消耗大量资源
 
-#### 对于不同的任务，调整API参数会获得更好的效果，例如对于翻译任务，你可以尝试设置Temperature为1，Top_P为0.3
+- 预设配置已经开启自定义CUDA算子加速，速度更快，且显存消耗更少。如果你遇到可能的兼容性(输出乱码)
+  问题，前往配置页面，关闭`使用自定义CUDA算子加速`，或更新你的显卡驱动
+
+- 如果 Windows Defender
+  说这是一个病毒，你可以尝试下载[v1.3.7_win.zip](https://github.com/josStorer/RWKV-Runner/releases/download/v1.3.7/RWKV-Runner_win.zip)，
+  然后让其自动更新到最新版，或添加信任 (`Windows Security` -> `Virus & threat protection` -> `Manage settings` -> `Exclusions` -> `Add or remove exclusions` -> `Add an exclusion` -> `Folder` -> `RWKV-Runner`)
+
+- 对于不同的任务，调整API参数会获得更好的效果，例如对于翻译任务，你可以尝试设置Temperature为1，Top_P为0.3
 
 ## 功能
 
 - RWKV模型管理，一键启动
-- 与OpenAI API完全兼容，一切ChatGPT客户端，都是RWKV客户端。启动模型后，打开 http://127.0.0.1:8000/docs 查看详细内容
+- 前后端分离，如果你不想使用客户端，也允许单独部署前端服务，或后端推理服务，或具有WebUI的后端推理服务。
+  [简明服务部署示例](#Simple-Deploy-Example) | [服务器部署示例](https://github.com/josStorer/RWKV-Runner/tree/master/deploy-examples)
+- 与OpenAI API兼容，一切ChatGPT客户端，都是RWKV客户端。启动模型后，打开 http://127.0.0.1:8000/docs 查看API文档
 - 全自动依赖安装，你只需要一个轻巧的可执行程序
-- 预设了2G至32G显存的配置，几乎在各种电脑上工作良好
-- 自带用户友好的聊天和续写交互页面
-- 易于理解和操作的参数配置
+- 预设多级显存配置，几乎在各种电脑上工作良好。通过配置页面切换Strategy到WebGPU，还可以在AMD，Intel等显卡上运行
+- 自带用户友好的聊天，续写，作曲交互页面。支持聊天预设，附件上传，MIDI硬件输入及音轨编辑。
+  [预览](#Preview) | [MIDI硬件输入](#MIDI-Input)
+- 内置WebUI选项，一键启动Web服务，共享硬件资源
+- 易于理解和操作的参数配置，及各类操作引导提示
 - 内置模型转换工具
 - 内置下载管理和远程模型检视
-- 内置一键LoRA微调
-- 也可用作 OpenAI ChatGPT 和 GPT Playground 客户端
+- 内置一键LoRA微调 (仅限Windows)
+- 也可用作 OpenAI ChatGPT 和 GPT Playground 客户端 (在设置内填写API URL和API Key)
 - 多语言本地化
 - 主题切换
 - 自动更新
 
+## Simple Deploy Example
+
+```bash
+git clone https://github.com/josStorer/RWKV-Runner
+
+# 然后
+cd RWKV-Runner
+python ./backend-python/main.py #后端推理服务已启动, 调用/switch-model载入模型, 参考API文档: http://127.0.0.1:8000/docs
+
+# 或者
+cd RWKV-Runner/frontend
+npm ci
+npm run build #编译前端
+cd ..
+python ./backend-python/webui_server.py #单独启动前端服务
+# 或者
+python ./backend-python/main.py --webui #同时启动前后端服务
+
+# 帮助参数
+python ./backend-python/main.py -h
+```
+
 ## API并发压力测试
 
 ```bash
@@ -130,40 +165,88 @@ for i in np.argsort(embeddings_cos_sim)[::-1]:
     print(f"{embeddings_cos_sim[i]:.10f} - {values[i]}")
 ```
 
+## MIDI Input
+
+小贴士: 你可以下载 https://github.com/josStorer/sgm_plus, 并解压到程序的`assets/sound-font`目录, 以使用离线音源. 注意,
+如果你正在从源码编译程序, 请不要将其放置在源码目录中
+
+如果你没有MIDI键盘, 你可以使用像 `Virtual Midi Controller 3 LE` 这样的虚拟MIDI输入软件,
+配合[loopMIDI](https://www.tobias-erichsen.de/wp-content/uploads/2020/01/loopMIDISetup_1_0_16_27.zip), 使用普通电脑键盘作为MIDI输入
+
+### USB MIDI 连接
+
+- USB MIDI设备是即插即用的, 你能够在作曲页面选择你的输入设备
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/a448c34a-56d8-46eb-8dc2-dd11e8e0c4ce)
+
+### Mac MIDI 蓝牙连接
+
+- 对于想要使用蓝牙输入的Mac用户,
+  请安装[Bluetooth MIDI Connect](https://apps.apple.com/us/app/bluetooth-midi-connect/id1108321791), 启动后点击托盘连接,
+  之后你可以在作曲页面选择你的输入设备
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/c079a109-1e3d-45c1-bbf5-eed85da1550e)
+
+### Windows MIDI 蓝牙连接
+
+- Windows似乎只为UWP实现了蓝牙MIDI支持, 因此需要多个步骤进行连接, 我们需要创建一个本地的虚拟MIDI设备, 然后启动一个UWP应用,
+  通过此UWP应用将蓝牙MIDI输入重定向到虚拟MIDI设备, 然后本软件监听虚拟MIDI设备的输入
+- 因此, 首先你需要下载[loopMIDI](https://www.tobias-erichsen.de/wp-content/uploads/2020/01/loopMIDISetup_1_0_16_27.zip),
+  用于创建虚拟MIDI设备, 点击左下角的加号创建设备
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/b75998ff-115c-4ddd-b97c-deeb5c106255)
+- 然后, 你需要下载[Bluetooth LE Explorer](https://apps.microsoft.com/detail/9N0ZTKF1QD98), 以发现并连接蓝牙MIDI设备,
+  点击Start搜索设备, 然后点击Pair绑定MIDI设备
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/c142c3ea-a973-4531-9807-4c385d640a2b)
+- 最后, 你需要安装[MIDIberry](https://apps.microsoft.com/detail/9N39720H2M05), 这个UWP应用能将MIDI蓝牙输入重定向到虚拟MIDI设备,
+  启动后, 在输入栏, 双击你实际的蓝牙MIDI设备名称, 在输出栏, 双击我们先前创建的虚拟MIDI设备名称
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/5ad6a1d9-4f68-4d95-ae17-4296107d1669)
+- 现在, 你可以在作曲页面选择虚拟MIDI设备作为输入. Bluetooth LE Explorer不再需要运行, loopMIDI窗口也可以退出, 它会自动在后台运行,
+  仅保持MIDIberry打开即可
+- ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/6460c355-884e-4b28-a2eb-8ab7a2e3a01a)
+
 ## 相关仓库:
 
+- RWKV-5-World: https://huggingface.co/BlinkDL/rwkv-5-world/tree/main
 - RWKV-4-World: https://huggingface.co/BlinkDL/rwkv-4-world/tree/main
 - RWKV-4-Raven: https://huggingface.co/BlinkDL/rwkv-4-raven/tree/main
 - ChatRWKV: https://github.com/BlinkDL/ChatRWKV
 - RWKV-LM: https://github.com/BlinkDL/RWKV-LM
 - RWKV-LM-LoRA: https://github.com/Blealtan/RWKV-LM-LoRA
 - MIDI-LLM-tokenizer: https://github.com/briansemrau/MIDI-LLM-tokenizer
+- ai00_rwkv_server: https://github.com/cgisky1980/ai00_rwkv_server
+- rwkv.cpp: https://github.com/saharNooby/rwkv.cpp
+- web-rwkv-py: https://github.com/cryscan/web-rwkv-py
 
 ## Preview
 
 ### 主页
 
-![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/ff2b1eef-dd3b-4cbf-98fb-b5a1ecee43e1)
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/cd82674e-3ee3-4175-bd9c-a11d45437327)
 
 ### 聊天
 
 ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/9570e73b-dca2-4316-9e92-09961f3c48c4)
 
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/54bb0e2b-cdc4-4ea0-8d16-9beaf57c232c)
+
 ### 续写
 
 ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/69f9ba7a-2fe8-4a5e-94cb-aa655aa409e2)
 
 ### 作曲
 
+小贴士: 你可以下载 https://github.com/josStorer/sgm_plus, 并解压到程序的`assets/sound-font`目录, 以使用离线音源. 注意,
+如果你正在从源码编译程序, 请不要将其放置在源码目录中
+
 ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/95b34893-80c2-4706-87f9-bc141032ed4b)
 
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/3cb31ca8-d708-42f1-8768-1605fb0b2174)
+
 ### 配置
 
-![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/59460f69-b172-4c7a-86cb-573262543076)
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/0f4d4f21-8abe-4f4d-8c4f-cd7d5607f20e)
 
 ### 模型管理
 
-![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/551121ee-1bfe-421b-a9d1-24125126ab4b)
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/871f2d2a-7e41-4be7-9b32-be1b3e00dc3e)
 
 ### 下载管理
 

backend-golang/app.go

@@ -4,12 +4,14 @@ import (
 	"bufio"
 	"context"
 	"errors"
+	"io"
 	"net/http"
 	"os"
 	"os/exec"
 	"path/filepath"
 	"runtime"
 	"syscall"
+	"time"
 
 	"github.com/fsnotify/fsnotify"
 	"github.com/minio/selfupdate"
@@ -43,16 +45,21 @@ func (a *App) OnStartup(ctx context.Context) {
 		a.cmdPrefix = "cd " + a.exDir + " && "
 	}
 
-	os.Chmod("./backend-rust/webgpu_server", 0777)
+	os.Chmod(a.exDir+"backend-rust/webgpu_server", 0777)
+	os.Chmod(a.exDir+"backend-rust/web-rwkv-converter", 0777)
 	os.Mkdir(a.exDir+"models", os.ModePerm)
 	os.Mkdir(a.exDir+"lora-models", os.ModePerm)
 	os.Mkdir(a.exDir+"finetune/json2binidx_tool/data", os.ModePerm)
-	f, err := os.Create(a.exDir + "lora-models/train_log.txt")
-	if err == nil {
-		f.Close()
+	trainLogPath := a.exDir + "lora-models/train_log.txt"
+	if !a.FileExists(trainLogPath) {
+		f, err := os.Create(trainLogPath)
+		if err == nil {
+			f.Close()
+		}
 	}
 
 	a.downloadLoop()
+	a.midiLoop()
 	a.watchFs()
 	a.monitorHardware()
 }
@@ -67,8 +74,8 @@ func (a *App) OnBeforeClose(ctx context.Context) bool {
 func (a *App) watchFs() {
 	watcher, err := fsnotify.NewWatcher()
 	if err == nil {
-		watcher.Add("./lora-models")
-		watcher.Add("./models")
+		watcher.Add(a.exDir + "./lora-models")
+		watcher.Add(a.exDir + "./models")
 		go func() {
 			for {
 				select {
@@ -118,13 +125,50 @@ func (a *App) monitorHardware() {
 	monitor.Start()
 }
 
+type ProgressReader struct {
+	reader io.Reader
+	total  int64
+	err    error
+}
+
+func (pr *ProgressReader) Read(p []byte) (n int, err error) {
+	n, err = pr.reader.Read(p)
+	pr.err = err
+	pr.total += int64(n)
+	return
+}
+
 func (a *App) UpdateApp(url string) (broken bool, err error) {
 	resp, err := http.Get(url)
 	if err != nil {
 		return false, err
 	}
 	defer resp.Body.Close()
-	err = selfupdate.Apply(resp.Body, selfupdate.Options{})
+	pr := &ProgressReader{reader: resp.Body}
+
+	ticker := time.NewTicker(250 * time.Millisecond)
+	defer ticker.Stop()
+
+	go func() {
+		for {
+			<-ticker.C
+			wruntime.EventsEmit(a.ctx, "updateApp", &DownloadStatus{
+				Name:        filepath.Base(url),
+				Path:        "",
+				Url:         url,
+				Transferred: pr.total,
+				Size:        resp.ContentLength,
+				Speed:       0,
+				Progress:    100 * (float64(pr.total) / float64(resp.ContentLength)),
+				Downloading: pr.err == nil && pr.total < resp.ContentLength,
+				Done:        pr.total == resp.ContentLength,
+			})
+			if pr.err != nil || pr.total == resp.ContentLength {
+				break
+			}
+		}
+	}()
+	err = selfupdate.Apply(pr, selfupdate.Options{})
 	if err != nil {
 		if rerr := selfupdate.RollbackError(err); rerr != nil {
 			return true, rerr

backend-golang/download.go

@@ -33,9 +33,9 @@ type DownloadStatus struct {
 
 var downloadList []*DownloadStatus
 
-func existsInDownloadList(url string) bool {
+func existsInDownloadList(path string, url string) bool {
 	for _, ds := range downloadList {
-		if ds.Url == url {
+		if ds.Path == path || ds.Url == url {
 			return true
 		}
 	}
@@ -88,7 +88,7 @@ func (a *App) ContinueDownload(url string) {
 }
 
 func (a *App) AddToDownloadList(path string, url string) {
-	if !existsInDownloadList(url) {
+	if !existsInDownloadList(a.exDir+path, url) {
 		downloadList = append(downloadList, &DownloadStatus{
 			resp:        nil,
 			Name:        filepath.Base(path),

backend-golang/file.go

@@ -14,6 +14,13 @@ import (
 	wruntime "github.com/wailsapp/wails/v2/pkg/runtime"
 )
 
+func (a *App) SaveFile(path string, savedContent []byte) error {
+	if err := os.WriteFile(a.exDir+path, savedContent, 0644); err != nil {
+		return err
+	}
+	return nil
+}
+
 func (a *App) SaveJson(fileName string, jsonData any) error {
 	text, err := json.MarshalIndent(jsonData, "", "  ")
 	if err != nil {
@@ -195,3 +202,12 @@ func (a *App) OpenFileFolder(path string, relative bool) error {
 	}
 	return errors.New("unsupported OS")
 }
+
+func (a *App) StartFile(path string) error {
+	cmd, err := CmdHelper(true, path)
+	if err != nil {
+		return err
+	}
+	err = cmd.Start()
+	return err
+}

backend-golang/midi.go

@@ -0,0 +1,170 @@
+package backend_golang
+
+import (
+	"errors"
+	"fmt"
+	"time"
+
+	"github.com/mattrtaylor/go-rtmidi"
+	"github.com/wailsapp/wails/v2/pkg/runtime"
+)
+
+type Port struct {
+	Name string `json:"name"`
+}
+type MIDIMessage struct {
+	MessageType string `json:"messageType"`
+	Channel     int    `json:"channel"`
+	Note        int    `json:"note"`
+	Velocity    int    `json:"velocity"`
+	Control     int    `json:"control"`
+	Value       int    `json:"value"`
+}
+
+var ports []Port
+var input rtmidi.MIDIIn
+var out rtmidi.MIDIOut
+var activeIndex int = -1
+var lastNoteTime time.Time
+
+func (a *App) midiLoop() {
+	var err error
+	input, err = rtmidi.NewMIDIInDefault()
+	if err != nil {
+		runtime.EventsEmit(a.ctx, "midiError", err.Error())
+		return
+	}
+	out, err = rtmidi.NewMIDIOutDefault()
+	if err != nil {
+		runtime.EventsEmit(a.ctx, "midiError", err.Error())
+	}
+	err = out.OpenPort(0, "")
+	if err != nil {
+		runtime.EventsEmit(a.ctx, "midiError", err.Error())
+	}
+	ticker := time.NewTicker(500 * time.Millisecond)
+	go func() {
+		for {
+			<-ticker.C
+			count, err := input.PortCount()
+			if err != nil {
+				continue
+			}
+			ports = make([]Port, count)
+			for i := 0; i < count; i++ {
+				name, err := input.PortName(i)
+				if err == nil {
+					ports[i].Name = name
+				}
+			}
+			runtime.EventsEmit(a.ctx, "midiPorts", &ports)
+		}
+	}()
+}
+
+func (a *App) OpenMidiPort(index int) error {
+	if input == nil {
+		return errors.New("failed to initialize MIDI input")
+	}
+	if activeIndex == index {
+		return nil
+	}
+	input.Destroy()
+	var err error
+	input, err = rtmidi.NewMIDIInDefault()
+	if err != nil {
+		return err
+	}
+	err = input.SetCallback(func(msg rtmidi.MIDIIn, bytes []byte, t float64) {
+		// https://www.midi.org/specifications-old/item/table-1-summary-of-midi-message
+		// https://www.rfc-editor.org/rfc/rfc6295.html
+		//
+		// msgType channel
+		//  1001     0000
+		//
+		msgType := bytes[0] >> 4
+		channel := bytes[0] & 0x0f
+		switch msgType {
+		case 0x8:
+			elapsed := time.Since(lastNoteTime)
+			lastNoteTime = time.Now()
+			runtime.EventsEmit(a.ctx, "midiMessage", &MIDIMessage{
+				MessageType: "ElapsedTime",
+				Value:       int(elapsed.Milliseconds()),
+			})
+			note := bytes[1]
+			runtime.EventsEmit(a.ctx, "midiMessage", &MIDIMessage{
+				MessageType: "NoteOff",
+				Channel:     int(channel),
+				Note:        int(note),
+			})
+		case 0x9:
+			elapsed := time.Since(lastNoteTime)
+			lastNoteTime = time.Now()
+			runtime.EventsEmit(a.ctx, "midiMessage", &MIDIMessage{
+				MessageType: "ElapsedTime",
+				Value:       int(elapsed.Milliseconds()),
+			})
+			note := bytes[1]
+			velocity := bytes[2]
+			runtime.EventsEmit(a.ctx, "midiMessage", &MIDIMessage{
+				MessageType: "NoteOn",
+				Channel:     int(channel),
+				Note:        int(note),
+				Velocity:    int(velocity),
+			})
+		case 0xb:
+			// control 12 => K1 knob, control 13 => K2 knob
+			control := bytes[1]
+			value := bytes[2]
+			runtime.EventsEmit(a.ctx, "midiMessage", &MIDIMessage{
+				MessageType: "ControlChange",
+				Channel:     int(channel),
+				Control:     int(control),
+				Value:       int(value),
+			})
+		default:
+			fmt.Printf("Unknown midi message: %v\n", bytes)
+		}
+	})
+	if err != nil {
+		return err
+	}
+	err = input.OpenPort(index, "")
+	if err != nil {
+		return err
+	}
+	activeIndex = index
+	lastNoteTime = time.Now()
+	return nil
+}
+
+func (a *App) CloseMidiPort() error {
+	if input == nil {
+		return errors.New("failed to initialize MIDI input")
+	}
+	if activeIndex == -1 {
+		return nil
+	}
+	activeIndex = -1
+	input.Destroy()
+	var err error
+	input, err = rtmidi.NewMIDIInDefault()
+	if err != nil {
+		return err
+	}
+	return nil
+}
+
+func (a *App) PlayNote(msg MIDIMessage) error {
+	if out == nil {
+		return errors.New("failed to initialize MIDI output")
+	}
+	channelByte := byte(msg.Channel)
+	if msg.MessageType == "NoteOn" {
+		out.SendMessage([]byte{0x90 | channelByte, byte(msg.Note), byte(msg.Velocity)})
+	} else if msg.MessageType == "NoteOff" {
+		out.SendMessage([]byte{0x80 | channelByte, byte(msg.Note), byte(msg.Velocity)})
+	}
+	return nil
+}

backend-golang/rwkv.go

@@ -10,7 +10,7 @@ import (
 	"strings"
 )
 
-func (a *App) StartServer(python string, port int, host string, rwkvBeta bool) (string, error) {
+func (a *App) StartServer(python string, port int, host string, webui bool, rwkvBeta bool, rwkvcpp bool, webgpu bool) (string, error) {
 	var err error
 	if python == "" {
 		python, err = GetPython()
@@ -19,9 +19,18 @@ func (a *App) StartServer(python string, port int, host string, rwkvBeta bool) (
 		return "", err
 	}
 	args := []string{python, "./backend-python/main.py"}
+	if webui {
+		args = append(args, "--webui")
+	}
 	if rwkvBeta {
 		args = append(args, "--rwkv-beta")
 	}
+	if rwkvcpp {
+		args = append(args, "--rwkv.cpp")
+	}
+	if webgpu {
+		args = append(args, "--webgpu")
+	}
 	args = append(args, "--port", strconv.Itoa(port), "--host", host)
 	return Cmd(args...)
 }
@@ -43,7 +52,13 @@ func (a *App) ConvertModel(python string, modelPath string, strategy string, out
 	return Cmd(python, "./backend-python/convert_model.py", "--in", modelPath, "--out", outPath, "--strategy", strategy)
 }
 
-func (a *App) ConvertSafetensors(python string, modelPath string, outPath string) (string, error) {
+func (a *App) ConvertSafetensors(modelPath string, outPath string) (string, error) {
+	args := []string{"./backend-rust/web-rwkv-converter"}
+	args = append(args, "--input", modelPath, "--output", outPath)
+	return Cmd(args...)
+}
+
+func (a *App) ConvertSafetensorsWithPython(python string, modelPath string, outPath string) (string, error) {
 	var err error
 	if python == "" {
 		python, err = GetPython()
@@ -54,6 +69,21 @@ func (a *App) ConvertSafetensors(python string, modelPath string, outPath string
 	return Cmd(python, "./backend-python/convert_safetensors.py", "--input", modelPath, "--output", outPath)
 }
 
+func (a *App) ConvertGGML(python string, modelPath string, outPath string, Q51 bool) (string, error) {
+	var err error
+	if python == "" {
+		python, err = GetPython()
+	}
+	if err != nil {
+		return "", err
+	}
+	dataType := "FP16"
+	if Q51 {
+		dataType = "Q5_1"
+	}
+	return Cmd(python, "./backend-python/convert_pytorch_to_ggml.py", modelPath, outPath, dataType)
+}
+
 func (a *App) ConvertData(python string, input string, outputPrefix string, vocab string) (string, error) {
 	var err error
 	if python == "" {

backend-golang/utils.go

@@ -3,42 +3,63 @@ package backend_golang
 import (
 	"archive/zip"
 	"bufio"
+	"crypto/sha256"
 	"embed"
 	"errors"
+	"fmt"
 	"io"
 	"io/fs"
+	"net"
 	"os"
 	"os/exec"
 	"path/filepath"
 	"runtime"
+	"strconv"
 	"strings"
+	"syscall"
 )
 
+func CmdHelper(hideWindow bool, args ...string) (*exec.Cmd, error) {
+	if runtime.GOOS != "windows" {
+		return nil, errors.New("unsupported OS")
+	}
+	filename := "./cmd-helper.bat"
+	_, err := os.Stat(filename)
+	if err != nil {
+		if err := os.WriteFile(filename, []byte("start %*"), 0644); err != nil {
+			return nil, err
+		}
+	}
+	cmdHelper, err := filepath.Abs(filename)
+	if err != nil {
+		return nil, err
+	}
+
+	if strings.Contains(cmdHelper, " ") {
+		for _, arg := range args {
+			if strings.Contains(arg, " ") {
+				return nil, errors.New("path contains space") // golang bug https://github.com/golang/go/issues/17149#issuecomment-473976818
+			}
+		}
+	}
+	cmd := exec.Command(cmdHelper, args...)
+	cmd.SysProcAttr = &syscall.SysProcAttr{}
+	//go:custom_build windows cmd.SysProcAttr.HideWindow = hideWindow
+	return cmd, nil
+}
+
 func Cmd(args ...string) (string, error) {
 	switch platform := runtime.GOOS; platform {
 	case "windows":
-		if err := os.WriteFile("./cmd-helper.bat", []byte("start %*"), 0644); err != nil {
-			return "", err
-		}
-		cmdHelper, err := filepath.Abs("./cmd-helper")
+		cmd, err := CmdHelper(true, args...)
 		if err != nil {
 			return "", err
 		}
-
-		if strings.Contains(cmdHelper, " ") {
-			for _, arg := range args {
-				if strings.Contains(arg, " ") {
-					return "", errors.New("path contains space") // golang bug https://github.com/golang/go/issues/17149#issuecomment-473976818
-				}
-			}
-		}
-
-		cmd := exec.Command(cmdHelper, args...)
-		out, err := cmd.CombinedOutput()
+		_, err = cmd.CombinedOutput()
 		if err != nil {
 			return "", err
 		}
-		return string(out), nil
+		return "", nil
 	case "darwin":
 		ex, err := os.Executable()
 		if err != nil {
@@ -92,9 +113,19 @@ func CopyEmbed(efs embed.FS) error {
 			return err
 		}
 
-		err = os.WriteFile(path, content, 0644)
-		if err != nil {
-			return err
+		executeWrite := true
+		existedContent, err := os.ReadFile(path)
+		if err == nil {
+			if fmt.Sprintf("%x", sha256.Sum256(existedContent)) == fmt.Sprintf("%x", sha256.Sum256(content)) {
+				executeWrite = false
+			}
+		}
+
+		if executeWrite {
+			err = os.WriteFile(path, content, 0644)
+			if err != nil {
+				return err
+			}
 		}
 
 		return nil
@@ -205,3 +236,12 @@ func Unzip(source, destination string) error {
 	}
 	return nil
 }
+
+func (a *App) IsPortAvailable(port int) bool {
+	l, err := net.Listen("tcp", fmt.Sprintf("127.0.0.1:%s", strconv.Itoa(port)))
+	if err != nil {
+		return false
+	}
+	defer l.Close()
+	return true
+}

backend-python/convert_model.py

@@ -231,5 +231,6 @@ try:
         convert_and_save_and_exit=args.out,
     )
 except Exception as e:
+    print(e)
     with open("error.txt", "w") as f:
         f.write(str(e))

backend-python/convert_pytorch_to_ggml.py

@@ -0,0 +1,169 @@
+# Converts an RWKV model checkpoint in PyTorch format to an rwkv.cpp compatible file.
+# Usage: python convert_pytorch_to_ggml.py C:\RWKV-4-Pile-169M-20220807-8023.pth C:\rwkv.cpp-169M-FP16.bin FP16
+# Get model checkpoints from https://huggingface.co/BlinkDL
+# See FILE_FORMAT.md for the documentation on the file format.
+
+import argparse
+import struct
+import torch
+from typing import Dict
+
+
+def parse_args():
+    parser = argparse.ArgumentParser(
+        description="Convert an RWKV model checkpoint in PyTorch format to an rwkv.cpp compatible file"
+    )
+    parser.add_argument("src_path", help="Path to PyTorch checkpoint file")
+    parser.add_argument(
+        "dest_path", help="Path to rwkv.cpp checkpoint file, will be overwritten"
+    )
+    parser.add_argument(
+        "data_type",
+        help="Data type, FP16, Q4_0, Q4_1, Q5_0, Q5_1, Q8_0",
+        type=str,
+        choices=[
+            "FP16",
+            "Q4_0",
+            "Q4_1",
+            "Q5_0",
+            "Q5_1",
+            "Q8_0",
+        ],
+        default="FP16",
+    )
+    return parser.parse_args()
+
+
+def get_layer_count(state_dict: Dict[str, torch.Tensor]) -> int:
+    n_layer: int = 0
+
+    while f"blocks.{n_layer}.ln1.weight" in state_dict:
+        n_layer += 1
+
+    assert n_layer > 0
+
+    return n_layer
+
+
+def write_state_dict(
+    state_dict: Dict[str, torch.Tensor], dest_path: str, data_type: str
+) -> None:
+    emb_weight: torch.Tensor = state_dict["emb.weight"]
+
+    n_layer: int = get_layer_count(state_dict)
+    n_vocab: int = emb_weight.shape[0]
+    n_embed: int = emb_weight.shape[1]
+
+    is_v5_1_or_2: bool = "blocks.0.att.ln_x.weight" in state_dict
+    is_v5_2: bool = "blocks.0.att.gate.weight" in state_dict
+
+    if is_v5_2:
+        print("Detected RWKV v5.2")
+    elif is_v5_1_or_2:
+        print("Detected RWKV v5.1")
+    else:
+        print("Detected RWKV v4")
+
+    with open(dest_path, "wb") as out_file:
+        is_FP16: bool = data_type == "FP16" or data_type == "float16"
+
+        out_file.write(
+            struct.pack(
+                # Disable padding with '='
+                "=iiiiii",
+                # Magic: 'ggmf' in hex
+                0x67676D66,
+                101,
+                n_vocab,
+                n_embed,
+                n_layer,
+                1 if is_FP16 else 0,
+            )
+        )
+
+        for k in state_dict.keys():
+            tensor: torch.Tensor = state_dict[k].float()
+
+            if ".time_" in k:
+                tensor = tensor.squeeze()
+
+            if is_v5_1_or_2:
+                if ".time_decay" in k:
+                    if is_v5_2:
+                        tensor = torch.exp(-torch.exp(tensor)).unsqueeze(-1)
+                    else:
+                        tensor = torch.exp(-torch.exp(tensor)).reshape(-1, 1, 1)
+
+                if ".time_first" in k:
+                    tensor = torch.exp(tensor).reshape(-1, 1, 1)
+
+                if ".time_faaaa" in k:
+                    tensor = tensor.unsqueeze(-1)
+            else:
+                if ".time_decay" in k:
+                    tensor = -torch.exp(tensor)
+
+            # Keep 1-dim vectors and small matrices in FP32
+            if is_FP16 and len(tensor.shape) > 1 and ".time_" not in k:
+                tensor = tensor.half()
+
+            shape = tensor.shape
+
+            print(f"Writing {k}, shape {shape}, type {tensor.dtype}")
+
+            k_encoded: bytes = k.encode("utf-8")
+
+            out_file.write(
+                struct.pack(
+                    "=iii",
+                    len(shape),
+                    len(k_encoded),
+                    1 if tensor.dtype == torch.float16 else 0,
+                )
+            )
+
+            # Dimension order is reversed here:
+            # * PyTorch shape is (x rows, y columns)
+            # * ggml shape is (y elements in a row, x elements in a column)
+            # Both shapes represent the same tensor.
+            for dim in reversed(tensor.shape):
+                out_file.write(struct.pack("=i", dim))
+
+            out_file.write(k_encoded)
+
+            tensor.numpy().tofile(out_file)
+
+
+def main() -> None:
+    args = parse_args()
+
+    print(f"Reading {args.src_path}")
+
+    state_dict: Dict[str, torch.Tensor] = torch.load(args.src_path, map_location="cpu")
+
+    temp_output: str = args.dest_path
+    if args.data_type.startswith("Q"):
+        import re
+
+        temp_output = re.sub(r"Q[4,5,8]_[0,1]", "fp16", temp_output)
+    write_state_dict(state_dict, temp_output, "FP16")
+    if args.data_type.startswith("Q"):
+        import sys
+        import os
+
+        sys.path.append(os.path.dirname(os.path.realpath(__file__)))
+        from rwkv_pip.cpp import rwkv_cpp_shared_library
+
+        library = rwkv_cpp_shared_library.load_rwkv_shared_library()
+        library.rwkv_quantize_model_file(temp_output, args.dest_path, args.data_type)
+
+    print("Done")
+
+
+if __name__ == "__main__":
+    try:
+        main()
+    except Exception as e:
+        print(e)
+        with open("error.txt", "w") as f:
+            f.write(str(e))

backend-python/convert_safetensors.py

@@ -25,21 +25,50 @@ def rename_key(rename, name):
     return name
 
 
-def convert_file(pt_filename: str, sf_filename: str, transpose_names=[], rename={}):
+def convert_file(pt_filename: str, sf_filename: str, rename={}, transpose_names=[]):
     loaded = torch.load(pt_filename, map_location="cpu")
     if "state_dict" in loaded:
         loaded = loaded["state_dict"]
 
+    kk = list(loaded.keys())
+    version = 4
+    for x in kk:
+        if "ln_x" in x:
+            version = max(5, version)
+        if "gate.weight" in x:
+            version = max(5.1, version)
+        if int(version) == 5 and "att.time_decay" in x:
+            if len(loaded[x].shape) > 1:
+                if loaded[x].shape[1] > 1:
+                    version = max(5.2, version)
+        if "time_maa" in x:
+            version = max(6, version)
+
+    if version == 5.1 and "midi" in pt_filename.lower():
+        import numpy as np
+
+        np.set_printoptions(precision=4, suppress=True, linewidth=200)
+        kk = list(loaded.keys())
+        _, n_emb = loaded["emb.weight"].shape
+        for k in kk:
+            if "time_decay" in k or "time_faaaa" in k:
+                # print(k, mm[k].shape)
+                loaded[k] = (
+                    loaded[k].unsqueeze(1).repeat(1, n_emb // loaded[k].shape[0])
+                )
+
     loaded = {k: v.clone().half() for k, v in loaded.items()}
     # for k, v in loaded.items():
     #     print(f'{k}\t{v.shape}\t{v.dtype}')
 
+    loaded = {rename_key(rename, k).lower(): v.contiguous() for k, v in loaded.items()}
     # For tensors to be contiguous
     for k, v in loaded.items():
         for transpose_name in transpose_names:
             if transpose_name in k:
                 loaded[k] = v.transpose(0, 1)
-    loaded = {rename_key(rename, k).lower(): v.contiguous() for k, v in loaded.items()}
+
+    loaded = {k: v.clone().half().contiguous() for k, v in loaded.items()}
 
     for k, v in loaded.items():
         print(f"{k}\t{v.shape}\t{v.dtype}")
@@ -60,10 +89,21 @@ if __name__ == "__main__":
         convert_file(
             args.input,
             args.output,
-            ["lora_A"],
-            {"time_faaaa": "time_first", "lora_A": "lora.0", "lora_B": "lora.1"},
+            rename={
+                "time_faaaa": "time_first",
+                "time_maa": "time_mix",
+                "lora_A": "lora.0",
+                "lora_B": "lora.1",
+            },
+            transpose_names=[
+                "time_mix_w1",
+                "time_mix_w2",
+                "time_decay_w1",
+                "time_decay_w2",
+            ],
         )
         print(f"Saved to {args.output}")
     except Exception as e:
+        print(e)
         with open("error.txt", "w") as f:
             f.write(str(e))

backend-python/global_var.py

@@ -4,6 +4,7 @@ Args = "args"
 Model = "model"
 Model_Status = "model_status"
 Model_Config = "model_config"
+Deploy_Mode = "deploy_mode"
 
 
 class ModelStatus(Enum):
@@ -16,6 +17,7 @@ def init():
     global GLOBALS
     GLOBALS = {}
     set(Model_Status, ModelStatus.Offline)
+    set(Deploy_Mode, False)
 
 
 def set(key, value):

backend-python/main.py

@@ -2,17 +2,63 @@ import time
 
 start_time = time.time()
 
-import setuptools  # avoid warnings
+import argparse
+from typing import Union, Sequence
+
+
+def get_args(args: Union[Sequence[str], None] = None):
+    parser = argparse.ArgumentParser()
+    group = parser.add_argument_group(title="server arguments")
+    group.add_argument(
+        "--port",
+        type=int,
+        default=8000,
+        help="port to run the server on (default: 8000)",
+    )
+    group.add_argument(
+        "--host",
+        type=str,
+        default="127.0.0.1",
+        help="host to run the server on (default: 127.0.0.1)",
+    )
+    group = parser.add_argument_group(title="mode arguments")
+    group.add_argument(
+        "--webui",
+        action="store_true",
+        help="whether to enable WebUI (default: False)",
+    )
+    group.add_argument(
+        "--rwkv-beta",
+        action="store_true",
+        help="whether to use rwkv-beta (default: False)",
+    )
+    group.add_argument(
+        "--rwkv.cpp",
+        action="store_true",
+        help="whether to use rwkv.cpp (default: False)",
+    )
+    group.add_argument(
+        "--webgpu",
+        action="store_true",
+        help="whether to use webgpu (default: False)",
+    )
+    args = parser.parse_args(args)
+
+    return args
+
+
+if __name__ == "__main__":
+    args = get_args()
+
+
 import os
 import sys
-import argparse
-from typing import Sequence
-from contextlib import asynccontextmanager
 
 sys.path.append(os.path.dirname(os.path.realpath(__file__)))
 
 import psutil
-from fastapi import Depends, FastAPI
+from contextlib import asynccontextmanager
+from fastapi import Depends, FastAPI, status
 from fastapi.middleware.cors import CORSMiddleware
 import uvicorn
 
@@ -48,6 +94,35 @@ app.include_router(misc.router)
 app.include_router(state_cache.router)
 
 
+@app.post("/exit", tags=["Root"])
+def exit():
+    if global_var.get(global_var.Deploy_Mode) is True:
+        raise HTTPException(status.HTTP_403_FORBIDDEN)
+
+    parent_pid = os.getpid()
+    parent = psutil.Process(parent_pid)
+    for child in parent.children(recursive=True):
+        child.kill()
+    parent.kill()
+
+
+try:
+    if (
+        "RWKV_RUNNER_PARAMS" in os.environ
+        and "--webui" in os.environ["RWKV_RUNNER_PARAMS"].split(" ")
+    ) or args.webui:
+        from webui_server import webui_server
+
+        app.mount("/", webui_server)
+except NameError:
+    pass
+
+
+@app.get("/", tags=["Root"])
+def read_root():
+    return {"Hello": "World!"}
+
+
 def init():
     global_var.init()
     cmd_params = os.environ["RWKV_RUNNER_PARAMS"]
@@ -63,48 +138,7 @@ def init():
         ngrok_connect()
 
 
-@app.get("/", tags=["Root"])
-def read_root():
-    return {"Hello": "World!"}
-
-
-@app.post("/exit", tags=["Root"])
-def exit():
-    parent_pid = os.getpid()
-    parent = psutil.Process(parent_pid)
-    for child in parent.children(recursive=True):
-        child.kill()
-    parent.kill()
-
-
-def get_args(args: Union[Sequence[str], None] = None):
-    parser = argparse.ArgumentParser()
-    group = parser.add_argument_group(title="server arguments")
-    group.add_argument(
-        "--port",
-        type=int,
-        default=8000,
-        help="port to run the server on (default: 8000)",
-    )
-    group.add_argument(
-        "--host",
-        type=str,
-        default="127.0.0.1",
-        help="host to run the server on (default: 127.0.0.1)",
-    )
-    group = parser.add_argument_group(title="mode arguments")
-    group.add_argument(
-        "--rwkv-beta",
-        action="store_true",
-        help="whether to use rwkv-beta (default: False)",
-    )
-    args = parser.parse_args(args)
-
-    return args
-
-
 if __name__ == "__main__":
-    args = get_args()
     os.environ["RWKV_RUNNER_PARAMS"] = " ".join(sys.argv[1:])
     print("--- %s seconds ---" % (time.time() - start_time))
     uvicorn.run("main:app", port=args.port, host=args.host, workers=1)

backend-python/routes/completion.py

@@ -8,7 +8,6 @@ import base64
 from fastapi import APIRouter, Request, status, HTTPException
 from sse_starlette.sse import EventSourceResponse
 from pydantic import BaseModel, Field
-import numpy as np
 import tiktoken
 from utils.rwkv import *
 from utils.log import quick_log
@@ -35,6 +34,11 @@ default_stop = [
     "\n\nQ",
     "\n\nHuman",
     "\n\nBob",
+    "\n\nAssistant",
+    "\n\nAnswer",
+    "\n\nA",
+    "\n\nBot",
+    "\n\nAlice",
 ]
 
 
@@ -53,8 +57,8 @@ class ChatCompletionBody(ModelConfigBody):
         True, description="Whether to insert default system prompt at the beginning"
     )
 
-    class Config:
-        json_schema_extra = {
+    model_config = {
+        "json_schema_extra": {
             "example": {
                 "messages": [
                     {"role": Role.User.value, "content": "hello", "raw": False}
@@ -72,6 +76,7 @@ class ChatCompletionBody(ModelConfigBody):
                 "frequency_penalty": 0.4,
             }
         }
+    }
 
 
 class CompletionBody(ModelConfigBody):
@@ -80,8 +85,8 @@ class CompletionBody(ModelConfigBody):
     stream: bool = False
     stop: Union[str, List[str], None] = None
 
-    class Config:
-        json_schema_extra = {
+    model_config = {
+        "json_schema_extra": {
             "example": {
                 "prompt": "The following is an epic science fiction masterpiece that is immortalized, "
                 + "with delicate descriptions and grand depictions of interstellar civilization wars.\nChapter 1.\n",
@@ -95,6 +100,7 @@ class CompletionBody(ModelConfigBody):
                 "frequency_penalty": 0.4,
             }
         }
+    }
 
 
 completion_lock = Lock()
@@ -328,6 +334,8 @@ The following is a coherent verbose detailed conversation between a girl named {
         body.stop.append(f"\n\n{bot_code}")
     elif body.stop is None:
         body.stop = default_stop
+    if not body.presystem:
+        body.stop.append("\n\n")
 
     if body.stream:
         return EventSourceResponse(
@@ -376,8 +384,8 @@ class EmbeddingsBody(BaseModel):
     encoding_format: str = None
     fast_mode: bool = False
 
-    class Config:
-        json_schema_extra = {
+    model_config = {
+        "json_schema_extra": {
             "example": {
                 "input": "a big apple",
                 "model": "rwkv",
@@ -385,9 +393,12 @@ class EmbeddingsBody(BaseModel):
                 "fast_mode": False,
             }
         }
+    }
 
 
 def embedding_base64(embedding: List[float]) -> str:
+    import numpy as np
+
     return base64.b64encode(np.array(embedding).astype(np.float32)).decode("utf-8")
 
 

backend-python/routes/config.py

@@ -15,20 +15,29 @@ class SwitchModelBody(BaseModel):
     strategy: str
     tokenizer: Union[str, None] = None
     customCuda: bool = False
+    deploy: bool = Field(
+        False,
+        description="Deploy mode. If success, will disable /switch-model, /exit and other dangerous APIs (state cache APIs, part of midi APIs)",
+    )
 
-    class Config:
-        json_schema_extra = {
+    model_config = {
+        "json_schema_extra": {
             "example": {
                 "model": "models/RWKV-4-World-3B-v1-20230619-ctx4096.pth",
                 "strategy": "cuda fp16",
-                "tokenizer": None,
+                "tokenizer": "",
                 "customCuda": False,
+                "deploy": False,
             }
         }
+    }
 
 
 @router.post("/switch-model", tags=["Configs"])
 def switch_model(body: SwitchModelBody, response: Response, request: Request):
+    if global_var.get(global_var.Deploy_Mode) is True:
+        raise HTTPException(Status.HTTP_403_FORBIDDEN)
+
     if global_var.get(global_var.Model_Status) is global_var.ModelStatus.Loading:
         response.status_code = Status.HTTP_304_NOT_MODIFIED
         return
@@ -40,13 +49,20 @@ def switch_model(body: SwitchModelBody, response: Response, request: Request):
     if body.model == "":
         return "success"
 
-    if "->" in body.strategy:
-        state_cache.disable_state_cache()
-    else:
-        try:
-            state_cache.enable_state_cache()
-        except HTTPException:
-            pass
+    devices = set(
+        [
+            x.strip().split(" ")[0].replace("cuda:0", "cuda")
+            for x in body.strategy.split("->")
+        ]
+    )
+    print(f"Strategy Devices: {devices}")
+    # if len(devices) > 1:
+    #     state_cache.disable_state_cache()
+    # else:
+    try:
+        state_cache.enable_state_cache()
+    except HTTPException:
+        pass
 
     os.environ["RWKV_CUDA_ON"] = "1" if body.customCuda else "0"
 
@@ -58,12 +74,18 @@ def switch_model(body: SwitchModelBody, response: Response, request: Request):
         )
     except Exception as e:
         print(e)
+        import traceback
+
+        print(traceback.format_exc())
+
         quick_log(request, body, f"Exception: {e}")
         global_var.set(global_var.Model_Status, global_var.ModelStatus.Offline)
         raise HTTPException(
             Status.HTTP_500_INTERNAL_SERVER_ERROR, f"failed to load: {e}"
         )
 
+    if body.deploy:
+        global_var.set(global_var.Deploy_Mode, True)
     if global_var.get(global_var.Model_Config) is None:
         global_var.set(
             global_var.Model_Config, get_rwkv_config(global_var.get(global_var.Model))

backend-python/routes/midi.py

@@ -1,5 +1,6 @@
 import io
-from fastapi import APIRouter, HTTPException, status
+import global_var
+from fastapi import APIRouter, HTTPException, UploadFile, status
 from starlette.responses import StreamingResponse
 from pydantic import BaseModel
 from utils.midi import *
@@ -11,12 +12,13 @@ router = APIRouter()
 class TextToMidiBody(BaseModel):
     text: str
 
-    class Config:
-        json_schema_extra = {
+    model_config = {
+        "json_schema_extra": {
             "example": {
                 "text": "p:24:a p:2a:a p:31:a p:39:a p:3b:a p:45:a b:26:a g:3e:a g:3e:a g:42:a g:42:a g:45:a g:45:a pi:3e:a pi:42:a pi:45:a t14 p:24:0 p:2a:0 p:31:0 p:39:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a t14 p:2a:0 p:3b:0 p:45:0 b:26:0 g:3e:0 g:3e:0 g:42:0 g:42:0 g:45:0 g:45:0 pi:3e:0 pi:42:0 pi:45:0 t2 p:2e:a p:3b:a p:45:a b:26:a g:3e:a g:3e:a g:42:a g:42:a g:45:a g:45:a pi:3e:a pi:42:a pi:45:a t14 p:2e:0 p:3b:0 p:45:0 g:3e:0 g:3e:0 g:42:0 g:42:0 g:45:0 g:45:0 pi:3e:0 pi:42:0 pi:45:0 t2 p:2e:a p:3b:a p:45:a g:3e:a g:3e:a g:42:a g:42:a g:45:a g:45:a pi:3e:a pi:42:a pi:45:a t14 p:2e:0 p:3b:0 p:45:0 b:26:0 g:3e:0 g:3e:0 g:42:0 g:42:0 g:45:0 g:45:0 pi:3e:0 pi:42:0 pi:45:0 t2 p:26:a p:2a:a p:3b:a p:45:a t14 p:26:0 p:2a:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a b:26:a g:3e:a g:3e:a g:42:a g:42:a g:45:a g:45:a pi:3e:a pi:42:a pi:45:a t14 p:2a:0 p:3b:0 p:45:0 b:26:0 t2 p:24:a p:2a:a p:3b:a p:45:a b:2d:a t14 p:24:0 p:2a:0 p:3b:0 p:45:0 b:2d:0 g:3e:0 g:3e:0 g:42:0 g:42:0 g:45:0 g:45:0 pi:3e:0 pi:42:0 pi:45:0 t2 p:24:a p:2a:a p:3b:a p:45:a b:21:a g:39:a g:39:a g:3d:a g:3d:a g:40:a g:40:a pi:39:a pi:3d:a pi:40:a t14 p:24:0 p:2a:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a t14 p:2a:0 p:3b:0 p:45:0 b:21:0 g:39:0 g:39:0 g:3d:0 g:3d:0 g:40:0 g:40:0 pi:39:0 pi:3d:0 pi:40:0 t2 p:24:a p:2e:a p:3b:a p:45:a b:21:a g:39:a g:39:a g:3d:a g:3d:a g:40:a g:40:a pi:39:a pi:3d:a pi:40:a t14 p:24:0 p:2e:0 p:3b:0 p:45:0 b:21:0 g:39:0 g:39:0 g:3d:0 g:3d:0 g:40:0 g:40:0 pi:39:0 pi:3d:0 pi:40:0 t2 p:24:a p:2a:a p:3b:a p:45:a b:21:a g:39:a g:39:a g:3d:a g:3d:a g:40:a g:40:a pi:39:a pi:3d:a pi:40:a t14 p:24:0 p:2a:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a t14 p:2a:0 p:3b:0 p:45:0 b:21:0 g:39:0 g:39:0 g:3d:0 g:3d:0 g:40:0 g:40:0 pi:39:0 pi:3d:0 pi:40:0 t2 p:26:a p:2a:a p:3b:a p:45:a b:21:a g:39:a g:39:a g:3d:a g:3d:a g:40:a g:40:a pi:39:a pi:3d:a pi:40:a t14 p:26:0 p:2a:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a t14 p:2a:0 p:3b:0 p:45:0 b:21:0 g:39:0 g:39:0 g:3d:0 g:3d:0 g:40:0 g:40:0 pi:39:0 pi:3d:0 pi:40:0 t2 p:26:a p:2e:a p:31:a p:39:a p:3b:a p:45:a b:21:a g:39:a g:39:a g:3d:a g:3d:a g:40:a g:40:a pi:39:a pi:3d:a pi:40:a t14 p:26:0 p:2e:0 p:31:0 p:39:0 p:3b:0 p:45:0 b:21:0 t2 p:26:a p:2e:a p:31:a p:39:a p:3b:a p:45:a b:21:a t14 p:26:0 p:2e:0 p:31:0 p:39:0 p:3b:0 p:45:0 b:21:0 g:39:0 g:39:0 g:3d:0 g:3d:0 g:40:0 g:40:0 pi:39:0 pi:3d:0 pi:40:0 t2 p:24:a p:2a:a p:31:a p:39:a p:3b:a p:45:a b:1f:a g:3b:a g:3b:a g:3e:a g:3e:a g:43:a g:43:a pi:3b:a pi:3e:a pi:43:a t14 p:24:0 p:2a:0 p:31:0 p:39:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a t14 p:2a:0 p:3b:0 p:45:0 b:1f:0 g:3b:0 g:3b:0 g:3e:0 g:3e:0 g:43:0 g:43:0 pi:3b:0 pi:3e:0 pi:43:0 t2 p:2e:a p:3b:a p:45:a b:1f:a g:3b:a g:3b:a g:3e:a g:3e:a g:43:a g:43:a pi:3b:a pi:3e:a pi:43:a t14 p:2e:0 p:3b:0 p:45:0 g:3b:0 g:3b:0 g:3e:0 g:3e:0 g:43:0 g:43:0 pi:3b:0 pi:3e:0 pi:43:0 t2 p:2e:a p:3b:a p:45:a g:3b:a g:3b:a g:3e:a g:3e:a g:43:a g:43:a pi:3b:a pi:3e:a pi:43:a t14 p:2e:0 p:3b:0 p:45:0 b:1f:0 g:3b:0 g:3b:0 g:3e:0 g:3e:0 g:43:0 g:43:0 pi:3b:0 pi:3e:0 pi:43:0 t2 p:26:a p:2a:a p:3b:a p:45:a t14 p:26:0 p:2a:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a b:1f:a g:3b:a g:3b:a g:3e:a g:3e:a g:43:a g:43:a pi:3b:a pi:3e:a pi:43:a t14 p:2a:0 p:3b:0 p:45:0 b:1f:0 t2 p:24:a p:2a:a p:3b:a p:45:a b:1f:a t14 p:24:0 p:2a:0 p:3b:0 p:45:0 b:1f:0 g:3b:0 g:3b:0 g:3e:0 g:3e:0 g:43:0 g:43:0 pi:3b:0 pi:3e:0 pi:43:0 t2 p:24:a p:2e:a p:3b:a p:45:a b:26:a g:39:a g:39:a g:3e:a g:3e:a g:42:a g:42:a pi:39:a pi:3e:a pi:42:a t14 p:24:0 p:2e:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a t14 p:2a:0 p:3b:0",
             }
         }
+    }
 
 
 @router.post("/text-to-midi", tags=["MIDI"])
@@ -31,21 +33,39 @@ def text_to_midi(body: TextToMidiBody):
     return StreamingResponse(mid_data, media_type="audio/midi")
 
 
+@router.post("/midi-to-text", tags=["MIDI"])
+async def midi_to_text(file_data: UploadFile):
+    vocab_config = "backend-python/utils/midi_vocab_config.json"
+    cfg = VocabConfig.from_json(vocab_config)
+    filter_config = "backend-python/utils/midi_filter_config.json"
+    filter_cfg = FilterConfig.from_json(filter_config)
+    mid = mido.MidiFile(file=file_data.file)
+    output_list = convert_midi_to_str(cfg, filter_cfg, mid)
+    if len(output_list) == 0:
+        raise HTTPException(status.HTTP_400_BAD_REQUEST, "bad midi file")
+
+    return {"text": output_list[0]}
+
+
 class TxtToMidiBody(BaseModel):
     txt_path: str
     midi_path: str
 
-    class Config:
-        json_schema_extra = {
+    model_config = {
+        "json_schema_extra": {
             "example": {
                 "txt_path": "midi/sample.txt",
                 "midi_path": "midi/sample.mid",
             }
         }
+    }
 
 
 @router.post("/txt-to-midi", tags=["MIDI"])
 def txt_to_midi(body: TxtToMidiBody):
+    if global_var.get(global_var.Deploy_Mode) is True:
+        raise HTTPException(status.HTTP_403_FORBIDDEN)
+
     if not body.midi_path.startswith("midi/"):
         raise HTTPException(status.HTTP_400_BAD_REQUEST, "bad output path")
 
@@ -65,14 +85,15 @@ class MidiToWavBody(BaseModel):
     wav_path: str
     sound_font_path: str = "assets/default_sound_font.sf2"
 
-    class Config:
-        json_schema_extra = {
+    model_config = {
+        "json_schema_extra": {
             "example": {
                 "midi_path": "midi/sample.mid",
                 "wav_path": "midi/sample.wav",
                 "sound_font_path": "assets/default_sound_font.sf2",
             }
         }
+    }
 
 
 @router.post("/midi-to-wav", tags=["MIDI"])
@@ -81,6 +102,9 @@ def midi_to_wav(body: MidiToWavBody):
     Install fluidsynth first, see more: https://github.com/FluidSynth/fluidsynth/wiki/Download#distributions
     """
 
+    if global_var.get(global_var.Deploy_Mode) is True:
+        raise HTTPException(status.HTTP_403_FORBIDDEN)
+
     if not body.wav_path.startswith("midi/"):
         raise HTTPException(status.HTTP_400_BAD_REQUEST, "bad output path")
 
@@ -95,14 +119,15 @@ class TextToWavBody(BaseModel):
     wav_name: str
     sound_font_path: str = "assets/default_sound_font.sf2"
 
-    class Config:
-        json_schema_extra = {
+    model_config = {
+        "json_schema_extra": {
             "example": {
                 "text": "p:24:a p:2a:a p:31:a p:39:a p:3b:a p:45:a b:26:a g:3e:a g:3e:a g:42:a g:42:a g:45:a g:45:a pi:3e:a pi:42:a pi:45:a t14 p:24:0 p:2a:0 p:31:0 p:39:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a t14 p:2a:0 p:3b:0 p:45:0 b:26:0 g:3e:0 g:3e:0 g:42:0 g:42:0 g:45:0 g:45:0 pi:3e:0 pi:42:0 pi:45:0 t2 p:2e:a p:3b:a p:45:a b:26:a g:3e:a g:3e:a g:42:a g:42:a g:45:a g:45:a pi:3e:a pi:42:a pi:45:a t14 p:2e:0 p:3b:0 p:45:0 g:3e:0 g:3e:0 g:42:0 g:42:0 g:45:0 g:45:0 pi:3e:0 pi:42:0 pi:45:0 t2 p:2e:a p:3b:a p:45:a g:3e:a g:3e:a g:42:a g:42:a g:45:a g:45:a pi:3e:a pi:42:a pi:45:a t14 p:2e:0 p:3b:0 p:45:0 b:26:0 g:3e:0 g:3e:0 g:42:0 g:42:0 g:45:0 g:45:0 pi:3e:0 pi:42:0 pi:45:0 t2 p:26:a p:2a:a p:3b:a p:45:a t14 p:26:0 p:2a:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a b:26:a g:3e:a g:3e:a g:42:a g:42:a g:45:a g:45:a pi:3e:a pi:42:a pi:45:a t14 p:2a:0 p:3b:0 p:45:0 b:26:0 t2 p:24:a p:2a:a p:3b:a p:45:a b:2d:a t14 p:24:0 p:2a:0 p:3b:0 p:45:0 b:2d:0 g:3e:0 g:3e:0 g:42:0 g:42:0 g:45:0 g:45:0 pi:3e:0 pi:42:0 pi:45:0 t2 p:24:a p:2a:a p:3b:a p:45:a b:21:a g:39:a g:39:a g:3d:a g:3d:a g:40:a g:40:a pi:39:a pi:3d:a pi:40:a t14 p:24:0 p:2a:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a t14 p:2a:0 p:3b:0 p:45:0 b:21:0 g:39:0 g:39:0 g:3d:0 g:3d:0 g:40:0 g:40:0 pi:39:0 pi:3d:0 pi:40:0 t2 p:24:a p:2e:a p:3b:a p:45:a b:21:a g:39:a g:39:a g:3d:a g:3d:a g:40:a g:40:a pi:39:a pi:3d:a pi:40:a t14 p:24:0 p:2e:0 p:3b:0 p:45:0 b:21:0 g:39:0 g:39:0 g:3d:0 g:3d:0 g:40:0 g:40:0 pi:39:0 pi:3d:0 pi:40:0 t2 p:24:a p:2a:a p:3b:a p:45:a b:21:a g:39:a g:39:a g:3d:a g:3d:a g:40:a g:40:a pi:39:a pi:3d:a pi:40:a t14 p:24:0 p:2a:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a t14 p:2a:0 p:3b:0 p:45:0 b:21:0 g:39:0 g:39:0 g:3d:0 g:3d:0 g:40:0 g:40:0 pi:39:0 pi:3d:0 pi:40:0 t2 p:26:a p:2a:a p:3b:a p:45:a b:21:a g:39:a g:39:a g:3d:a g:3d:a g:40:a g:40:a pi:39:a pi:3d:a pi:40:a t14 p:26:0 p:2a:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a t14 p:2a:0 p:3b:0 p:45:0 b:21:0 g:39:0 g:39:0 g:3d:0 g:3d:0 g:40:0 g:40:0 pi:39:0 pi:3d:0 pi:40:0 t2 p:26:a p:2e:a p:31:a p:39:a p:3b:a p:45:a b:21:a g:39:a g:39:a g:3d:a g:3d:a g:40:a g:40:a pi:39:a pi:3d:a pi:40:a t14 p:26:0 p:2e:0 p:31:0 p:39:0 p:3b:0 p:45:0 b:21:0 t2 p:26:a p:2e:a p:31:a p:39:a p:3b:a p:45:a b:21:a t14 p:26:0 p:2e:0 p:31:0 p:39:0 p:3b:0 p:45:0 b:21:0 g:39:0 g:39:0 g:3d:0 g:3d:0 g:40:0 g:40:0 pi:39:0 pi:3d:0 pi:40:0 t2 p:24:a p:2a:a p:31:a p:39:a p:3b:a p:45:a b:1f:a g:3b:a g:3b:a g:3e:a g:3e:a g:43:a g:43:a pi:3b:a pi:3e:a pi:43:a t14 p:24:0 p:2a:0 p:31:0 p:39:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a t14 p:2a:0 p:3b:0 p:45:0 b:1f:0 g:3b:0 g:3b:0 g:3e:0 g:3e:0 g:43:0 g:43:0 pi:3b:0 pi:3e:0 pi:43:0 t2 p:2e:a p:3b:a p:45:a b:1f:a g:3b:a g:3b:a g:3e:a g:3e:a g:43:a g:43:a pi:3b:a pi:3e:a pi:43:a t14 p:2e:0 p:3b:0 p:45:0 g:3b:0 g:3b:0 g:3e:0 g:3e:0 g:43:0 g:43:0 pi:3b:0 pi:3e:0 pi:43:0 t2 p:2e:a p:3b:a p:45:a g:3b:a g:3b:a g:3e:a g:3e:a g:43:a g:43:a pi:3b:a pi:3e:a pi:43:a t14 p:2e:0 p:3b:0 p:45:0 b:1f:0 g:3b:0 g:3b:0 g:3e:0 g:3e:0 g:43:0 g:43:0 pi:3b:0 pi:3e:0 pi:43:0 t2 p:26:a p:2a:a p:3b:a p:45:a t14 p:26:0 p:2a:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a b:1f:a g:3b:a g:3b:a g:3e:a g:3e:a g:43:a g:43:a pi:3b:a pi:3e:a pi:43:a t14 p:2a:0 p:3b:0 p:45:0 b:1f:0 t2 p:24:a p:2a:a p:3b:a p:45:a b:1f:a t14 p:24:0 p:2a:0 p:3b:0 p:45:0 b:1f:0 g:3b:0 g:3b:0 g:3e:0 g:3e:0 g:43:0 g:43:0 pi:3b:0 pi:3e:0 pi:43:0 t2 p:24:a p:2e:a p:3b:a p:45:a b:26:a g:39:a g:39:a g:3e:a g:3e:a g:42:a g:42:a pi:39:a pi:3e:a pi:42:a t14 p:24:0 p:2e:0 p:3b:0 p:45:0 t2 p:2a:a p:3b:a p:45:a t14 p:2a:0 p:3b:0",
                 "wav_name": "sample",
                 "sound_font_path": "assets/default_sound_font.sf2",
             }
         }
+    }
 
 
 @router.post("/text-to-wav", tags=["MIDI"])
@@ -111,6 +136,9 @@ def text_to_wav(body: TextToWavBody):
     Install fluidsynth first, see more: https://github.com/FluidSynth/fluidsynth/wiki/Download#distributions
     """
 
+    if global_var.get(global_var.Deploy_Mode) is True:
+        raise HTTPException(status.HTTP_403_FORBIDDEN)
+
     text = body.text.strip()
     if not text.startswith("<start>"):
         text = "<start> " + text

backend-python/routes/state_cache.py

@@ -4,12 +4,13 @@ from fastapi import APIRouter, HTTPException, Request, Response, status
 from pydantic import BaseModel
 import gc
 import copy
+import global_var
 
 router = APIRouter()
 
 trie = None
 dtrie: Dict = {}
-max_trie_len = 3000
+max_trie_len = 300
 loop_start_id = 1  # to prevent preloaded prompts from being deleted
 loop_del_trie_id = loop_start_id
 
@@ -36,16 +37,24 @@ def init():
 def disable_state_cache():
     global trie, dtrie
 
+    if global_var.get(global_var.Deploy_Mode) is True:
+        raise HTTPException(status.HTTP_403_FORBIDDEN)
+
     trie = None
     dtrie = {}
     gc.collect()
 
+    print("state cache disabled")
     return "success"
 
 
 @router.post("/enable-state-cache", tags=["State Cache"])
 def enable_state_cache():
     global trie, dtrie
+
+    if global_var.get(global_var.Deploy_Mode) is True:
+        raise HTTPException(status.HTTP_403_FORBIDDEN)
+
     try:
         import cyac
 
@@ -53,8 +62,10 @@ def enable_state_cache():
         dtrie = {}
         gc.collect()
 
+        print("state cache enabled")
         return "success"
     except ModuleNotFoundError:
+        print("state cache disabled")
         raise HTTPException(status.HTTP_400_BAD_REQUEST, "cyac not found")
 
 
@@ -65,24 +76,47 @@ class AddStateBody(BaseModel):
     logits: Any
 
 
-@router.post("/add-state", tags=["State Cache"])
+# @router.post("/add-state", tags=["State Cache"])
 def add_state(body: AddStateBody):
     global trie, dtrie, loop_del_trie_id
+
+    # if global_var.get(global_var.Deploy_Mode) is True:
+    #     raise HTTPException(status.HTTP_403_FORBIDDEN)
+
     if trie is None:
         raise HTTPException(status.HTTP_400_BAD_REQUEST, "trie not loaded")
 
     import torch
+    import numpy as np
 
     try:
+        devices: List[torch.device] = []
+        state: Union[Any, None] = None
+
+        if body.state is not None:
+            if type(body.state) == list or type(body.state) == np.ndarray:
+                devices = [
+                    (
+                        tensor.device
+                        if hasattr(tensor, "device")
+                        else torch.device("cpu")
+                    )
+                    for tensor in body.state
+                ]
+                state = (
+                    [tensor.cpu() for tensor in body.state]
+                    if hasattr(body.state[0], "device")
+                    else copy.deepcopy(body.state)
+                )
+            else:
+                pass  # WebGPU
+
         id: int = trie.insert(body.prompt)
-        device: torch.device = body.state[0].device
         dtrie[id] = {
             "tokens": copy.deepcopy(body.tokens),
-            "state": [tensor.cpu() for tensor in body.state]
-            if device != torch.device("cpu")
-            else copy.deepcopy(body.state),
+            "state": state,
             "logits": copy.deepcopy(body.logits),
-            "device": device,
+            "devices": devices,
         }
 
         if len(trie) >= max_trie_len:
@@ -108,6 +142,10 @@ def add_state(body: AddStateBody):
 @router.post("/reset-state", tags=["State Cache"])
 def reset_state():
     global trie, dtrie
+
+    if global_var.get(global_var.Deploy_Mode) is True:
+        raise HTTPException(status.HTTP_403_FORBIDDEN)
+
     if trie is None:
         raise HTTPException(status.HTTP_400_BAD_REQUEST, "trie not loaded")
 
@@ -141,13 +179,18 @@ def __get_a_dtrie_buff_size(dtrie_v):
     return 54 * len(dtrie_v["tokens"]) + 491520 + 262144 + 28  # TODO
 
 
-@router.post("/longest-prefix-state", tags=["State Cache"])
+# @router.post("/longest-prefix-state", tags=["State Cache"])
 def longest_prefix_state(body: LongestPrefixStateBody, request: Request):
     global trie
+
+    # if global_var.get(global_var.Deploy_Mode) is True:
+    #     raise HTTPException(status.HTTP_403_FORBIDDEN)
+
     if trie is None:
         raise HTTPException(status.HTTP_400_BAD_REQUEST, "trie not loaded")
 
     import torch
+    import numpy as np
 
     id = -1
     try:
@@ -157,32 +200,31 @@ def longest_prefix_state(body: LongestPrefixStateBody, request: Request):
         pass
     if id != -1:
         v = dtrie[id]
-        device: torch.device = v["device"]
+        devices: List[torch.device] = v["devices"]
         prompt: str = trie[id]
+        state: Union[Any, None] = v["state"]
+
+        if state is not None and type(state) == list and hasattr(state[0], "device"):
+            state = [tensor.to(devices[i]) for i, tensor in enumerate(state)]
 
         quick_log(request, body, "Hit:\n" + prompt)
         return {
             "prompt": prompt,
             "tokens": v["tokens"],
-            "state": [tensor.to(device) for tensor in v["state"]]
-            if device != torch.device("cpu")
-            else v["state"],
+            "state": state,
             "logits": v["logits"],
-            "device": device.type,
         }
     else:
-        return {
-            "prompt": "",
-            "tokens": [],
-            "state": None,
-            "logits": None,
-            "device": None,
-        }
+        return {"prompt": "", "tokens": [], "state": None, "logits": None}
 
 
-@router.post("/save-state", tags=["State Cache"])
+# @router.post("/save-state", tags=["State Cache"])
 def save_state():
     global trie
+
+    # if global_var.get(global_var.Deploy_Mode) is True:
+    #     raise HTTPException(status.HTTP_403_FORBIDDEN)
+
     if trie is None:
         raise HTTPException(status.HTTP_400_BAD_REQUEST, "trie not loaded")
 

backend-python/rwkv_pip/cpp/model.py

@@ -0,0 +1,14 @@
+from typing import Any, List, Union
+from . import rwkv_cpp_model
+from . import rwkv_cpp_shared_library
+
+
+class RWKV:
+    def __init__(self, model_path: str, strategy=None):
+        self.library = rwkv_cpp_shared_library.load_rwkv_shared_library()
+        self.model = rwkv_cpp_model.RWKVModel(self.library, model_path)
+        self.w = {}  # fake weight
+        self.w["emb.weight"] = [0] * self.model.n_vocab
+
+    def forward(self, tokens: List[int], state: Union[Any, None] = None):
+        return self.model.eval_sequence_in_chunks(tokens, state, use_numpy=True)

backend-python/rwkv_pip/cpp/rwkv_cpp_model.py

@@ -0,0 +1,369 @@
+import os
+import multiprocessing
+
+# Pre-import PyTorch, if available.
+# This fixes "OSError: [WinError 127] The specified procedure could not be found".
+try:
+    import torch
+except ModuleNotFoundError:
+    pass
+
+# I'm sure this is not strictly correct, but let's keep this crutch for now.
+try:
+    import rwkv_cpp_shared_library
+except ModuleNotFoundError:
+    from . import rwkv_cpp_shared_library
+
+from typing import TypeVar, Optional, Tuple, List
+
+# A value of this type is either a numpy's ndarray or a PyTorch's Tensor.
+NumpyArrayOrPyTorchTensor: TypeVar = TypeVar('NumpyArrayOrPyTorchTensor')
+
+class RWKVModel:
+    """
+    An RWKV model managed by rwkv.cpp library.
+    """
+
+    def __init__(
+            self,
+            shared_library: rwkv_cpp_shared_library.RWKVSharedLibrary,
+            model_path: str,
+            thread_count: int = max(1, multiprocessing.cpu_count() // 2),
+            gpu_layer_count: int = 0,
+            **kwargs
+    ) -> None:
+        """
+        Loads the model and prepares it for inference.
+        In case of any error, this method will throw an exception.
+
+        Parameters
+        ----------
+        shared_library : RWKVSharedLibrary
+            rwkv.cpp shared library.
+        model_path : str
+            Path to RWKV model file in ggml format.
+        thread_count : int
+            Thread count to use. If not set, defaults to CPU count / 2.
+        gpu_layer_count : int
+            Count of layers to offload onto the GPU, must be >= 0.
+            See documentation of `gpu_offload_layers` for details about layer offloading.
+        """
+
+        if 'gpu_layers_count' in kwargs:
+            gpu_layer_count = kwargs['gpu_layers_count']
+
+        assert os.path.isfile(model_path), f'{model_path} is not a file'
+        assert thread_count > 0, 'Thread count must be > 0'
+        assert gpu_layer_count >= 0, 'GPU layer count must be >= 0'
+
+        self._library: rwkv_cpp_shared_library.RWKVSharedLibrary = shared_library
+
+        self._ctx: rwkv_cpp_shared_library.RWKVContext = self._library.rwkv_init_from_file(model_path, thread_count)
+
+        if gpu_layer_count > 0:
+            self.gpu_offload_layers(gpu_layer_count)
+
+        self._state_buffer_element_count: int = self._library.rwkv_get_state_buffer_element_count(self._ctx)
+        self._logits_buffer_element_count: int = self._library.rwkv_get_logits_buffer_element_count(self._ctx)
+
+        self._valid: bool = True
+
+    def gpu_offload_layers(self, layer_count: int) -> bool:
+        """
+        Offloads specified count of model layers onto the GPU. Offloaded layers are evaluated using cuBLAS or CLBlast.
+        For the purposes of this function, model head (unembedding matrix) is treated as an additional layer:
+        - pass `model.n_layer` to offload all layers except model head
+        - pass `model.n_layer + 1` to offload all layers, including model head
+
+        Returns true if at least one layer was offloaded.
+        If rwkv.cpp was compiled without cuBLAS and CLBlast support, this function is a no-op and always returns false.
+
+        Parameters
+        ----------
+        layer_count : int
+            Count of layers to offload onto the GPU, must be >= 0.
+        """
+
+        assert layer_count >= 0, 'Layer count must be >= 0'
+
+        return self._library.rwkv_gpu_offload_layers(self._ctx, layer_count)
+
+    @property
+    def n_vocab(self) -> int:
+        return self._library.rwkv_get_n_vocab(self._ctx)
+
+    @property
+    def n_embed(self) -> int:
+        return self._library.rwkv_get_n_embed(self._ctx)
+
+    @property
+    def n_layer(self) -> int:
+        return self._library.rwkv_get_n_layer(self._ctx)
+
+    def eval(
+            self,
+            token: int,
+            state_in: Optional[NumpyArrayOrPyTorchTensor],
+            state_out: Optional[NumpyArrayOrPyTorchTensor] = None,
+            logits_out: Optional[NumpyArrayOrPyTorchTensor] = None,
+            use_numpy: bool = False
+    ) -> Tuple[NumpyArrayOrPyTorchTensor, NumpyArrayOrPyTorchTensor]:
+        """
+        Evaluates the model for a single token.
+        In case of any error, this method will throw an exception.
+
+        Parameters
+        ----------
+        token : int
+            Index of next token to be seen by the model. Must be in range 0 <= token < n_vocab.
+        state_in : Optional[NumpyArrayOrTorchTensor]
+            State from previous call of this method. If this is a first pass, set it to None.
+        state_out : Optional[NumpyArrayOrTorchTensor]
+            Optional output tensor for state. If provided, must be of type float32, contiguous and of shape (state_buffer_element_count).
+        logits_out : Optional[NumpyArrayOrTorchTensor]
+            Optional output tensor for logits. If provided, must be of type float32, contiguous and of shape (logits_buffer_element_count).
+        use_numpy : bool
+            If set to True, numpy's ndarrays will be created instead of PyTorch's Tensors.
+            This parameter is ignored if any tensor parameter is not None; in such case,
+            type of returned tensors will match the type of received tensors.
+
+        Returns
+        -------
+        logits, state
+            Logits vector of shape (n_vocab); state for the next step.
+        """
+
+        assert self._valid, 'Model was freed'
+
+        use_numpy = self._detect_numpy_usage([state_in, state_out, logits_out], use_numpy)
+
+        if state_in is not None:
+            self._validate_tensor(state_in, 'state_in', self._state_buffer_element_count)
+
+            state_in_ptr = self._get_data_ptr(state_in)
+        else:
+            state_in_ptr = 0
+
+        if state_out is not None:
+            self._validate_tensor(state_out, 'state_out', self._state_buffer_element_count)
+        else:
+            state_out = self._zeros_float32(self._state_buffer_element_count, use_numpy)
+
+        if logits_out is not None:
+            self._validate_tensor(logits_out, 'logits_out', self._logits_buffer_element_count)
+        else:
+            logits_out = self._zeros_float32(self._logits_buffer_element_count, use_numpy)
+
+        self._library.rwkv_eval(
+            self._ctx,
+            token,
+            state_in_ptr,
+            self._get_data_ptr(state_out),
+            self._get_data_ptr(logits_out)
+        )
+
+        return logits_out, state_out
+    
+    def eval_sequence(
+            self,
+            tokens: List[int],
+            state_in: Optional[NumpyArrayOrPyTorchTensor],
+            state_out: Optional[NumpyArrayOrPyTorchTensor] = None,
+            logits_out: Optional[NumpyArrayOrPyTorchTensor] = None,
+            use_numpy: bool = False
+    ) -> Tuple[NumpyArrayOrPyTorchTensor, NumpyArrayOrPyTorchTensor]:
+        """
+        Evaluates the model for a sequence of tokens.
+
+        NOTE ON GGML NODE LIMIT
+
+        ggml has a hard-coded limit on max amount of nodes in a computation graph. The sequence graph is built in a way that quickly exceedes
+        this limit when using large models and/or large sequence lengths.
+        Fortunately, rwkv.cpp's fork of ggml has increased limit which was tested to work for sequence lengths up to 64 for 14B models.
+
+        If you get `GGML_ASSERT: ...\\ggml.c:16941: cgraph->n_nodes < GGML_MAX_NODES`, this means you've exceeded the limit.
+        To get rid of the assertion failure, reduce the model size and/or sequence length.
+
+        In case of any error, this method will throw an exception.
+
+        Parameters
+        ----------
+        tokens : List[int]
+            Indices of the next tokens to be seen by the model. Must be in range 0 <= token < n_vocab.
+        state_in : Optional[NumpyArrayOrTorchTensor]
+            State from previous call of this method. If this is a first pass, set it to None.
+        state_out : Optional[NumpyArrayOrTorchTensor]
+            Optional output tensor for state. If provided, must be of type float32, contiguous and of shape (state_buffer_element_count).
+        logits_out : Optional[NumpyArrayOrTorchTensor]
+            Optional output tensor for logits. If provided, must be of type float32, contiguous and of shape (logits_buffer_element_count).
+        use_numpy : bool
+            If set to True, numpy's ndarrays will be created instead of PyTorch's Tensors.
+            This parameter is ignored if any tensor parameter is not None; in such case,
+            type of returned tensors will match the type of received tensors.
+
+        Returns
+        -------
+        logits, state
+            Logits vector of shape (n_vocab); state for the next step.
+        """
+
+        assert self._valid, 'Model was freed'
+
+        use_numpy = self._detect_numpy_usage([state_in, state_out, logits_out], use_numpy)
+
+        if state_in is not None:
+            self._validate_tensor(state_in, 'state_in', self._state_buffer_element_count)
+
+            state_in_ptr = self._get_data_ptr(state_in)
+        else:
+            state_in_ptr = 0
+
+        if state_out is not None:
+            self._validate_tensor(state_out, 'state_out', self._state_buffer_element_count)
+        else:
+            state_out = self._zeros_float32(self._state_buffer_element_count, use_numpy)
+
+        if logits_out is not None:
+            self._validate_tensor(logits_out, 'logits_out', self._logits_buffer_element_count)
+        else:
+            logits_out = self._zeros_float32(self._logits_buffer_element_count, use_numpy)
+
+        self._library.rwkv_eval_sequence(
+            self._ctx,
+            tokens,
+            state_in_ptr,
+            self._get_data_ptr(state_out),
+            self._get_data_ptr(logits_out)
+        )
+
+        return logits_out, state_out
+
+    def eval_sequence_in_chunks(
+            self,
+            tokens: List[int],
+            state_in: Optional[NumpyArrayOrPyTorchTensor],
+            state_out: Optional[NumpyArrayOrPyTorchTensor] = None,
+            logits_out: Optional[NumpyArrayOrPyTorchTensor] = None,
+            chunk_size: int = 16,
+            use_numpy: bool = False
+    ) -> Tuple[NumpyArrayOrPyTorchTensor, NumpyArrayOrPyTorchTensor]:
+        """
+        Evaluates the model for a sequence of tokens using `eval_sequence`, splitting a potentially long sequence into fixed-length chunks.
+        This function is useful for processing complete prompts and user input in chat & role-playing use-cases.
+        It is recommended to use this function instead of `eval_sequence` to avoid mistakes and get maximum performance.
+
+        Chunking allows processing sequences of thousands of tokens, while not reaching the ggml's node limit and not consuming too much memory.
+        A reasonable and recommended value of chunk size is 16. If you want maximum performance, try different chunk sizes in range [2..64]
+        and choose one that works the best in your use case.
+
+        In case of any error, this method will throw an exception.
+
+        Parameters
+        ----------
+        tokens : List[int]
+            Indices of the next tokens to be seen by the model. Must be in range 0 <= token < n_vocab.
+        chunk_size : int
+            Size of each chunk in tokens, must be positive.
+        state_in : Optional[NumpyArrayOrTorchTensor]
+            State from previous call of this method. If this is a first pass, set it to None.
+        state_out : Optional[NumpyArrayOrTorchTensor]
+            Optional output tensor for state. If provided, must be of type float32, contiguous and of shape (state_buffer_element_count).
+        logits_out : Optional[NumpyArrayOrTorchTensor]
+            Optional output tensor for logits. If provided, must be of type float32, contiguous and of shape (logits_buffer_element_count).
+        use_numpy : bool
+            If set to True, numpy's ndarrays will be created instead of PyTorch's Tensors.
+            This parameter is ignored if any tensor parameter is not None; in such case,
+            type of returned tensors will match the type of received tensors.
+
+        Returns
+        -------
+        logits, state
+            Logits vector of shape (n_vocab); state for the next step.
+        """
+
+        assert self._valid, 'Model was freed'
+
+        use_numpy = self._detect_numpy_usage([state_in, state_out, logits_out], use_numpy)
+
+        if state_in is not None:
+            self._validate_tensor(state_in, 'state_in', self._state_buffer_element_count)
+
+            state_in_ptr = self._get_data_ptr(state_in)
+        else:
+            state_in_ptr = 0
+
+        if state_out is not None:
+            self._validate_tensor(state_out, 'state_out', self._state_buffer_element_count)
+        else:
+            state_out = self._zeros_float32(self._state_buffer_element_count, use_numpy)
+
+        if logits_out is not None:
+            self._validate_tensor(logits_out, 'logits_out', self._logits_buffer_element_count)
+        else:
+            logits_out = self._zeros_float32(self._logits_buffer_element_count, use_numpy)
+
+        self._library.rwkv_eval_sequence_in_chunks(
+            self._ctx,
+            tokens,
+            chunk_size,
+            state_in_ptr,
+            self._get_data_ptr(state_out),
+            self._get_data_ptr(logits_out)
+        )
+
+        return logits_out, state_out
+
+    def free(self) -> None:
+        """
+        Frees all allocated resources.
+        In case of any error, this method will throw an exception.
+        The object must not be used anymore after calling this method.
+        """
+
+        assert self._valid, 'Already freed'
+
+        self._valid = False
+
+        self._library.rwkv_free(self._ctx)
+
+    def __del__(self) -> None:
+        # Free the context on GC in case user forgot to call free() explicitly.
+        if hasattr(self, '_valid') and self._valid:
+            self.free()
+
+    def _is_pytorch_tensor(self, tensor: NumpyArrayOrPyTorchTensor) -> bool:
+        return hasattr(tensor, '__module__') and tensor.__module__ == 'torch'
+
+    def _detect_numpy_usage(self, tensors: List[Optional[NumpyArrayOrPyTorchTensor]], use_numpy_by_default: bool) -> bool:
+        for tensor in tensors:
+            if tensor is not None:
+                return False if self._is_pytorch_tensor(tensor) else True
+
+        return use_numpy_by_default
+
+    def _validate_tensor(self, tensor: NumpyArrayOrPyTorchTensor, name: str, size: int) -> None:
+        if self._is_pytorch_tensor(tensor):
+            tensor: torch.Tensor = tensor
+            assert tensor.device == torch.device('cpu'), f'{name} is not on CPU'
+            assert tensor.dtype == torch.float32, f'{name} is not of type float32'
+            assert tensor.shape == (size,), f'{name} has invalid shape {tensor.shape}, expected ({size})'
+            assert tensor.is_contiguous(), f'{name} is not contiguous'
+        else:
+            import numpy as np
+            tensor: np.ndarray = tensor
+            assert tensor.dtype == np.float32, f'{name} is not of type float32'
+            assert tensor.shape == (size,), f'{name} has invalid shape {tensor.shape}, expected ({size})'
+            assert tensor.data.contiguous, f'{name} is not contiguous'
+
+    def _get_data_ptr(self, tensor: NumpyArrayOrPyTorchTensor):
+        if self._is_pytorch_tensor(tensor):
+            return tensor.data_ptr()
+        else:
+            return tensor.ctypes.data
+
+    def _zeros_float32(self, element_count: int, use_numpy: bool) -> NumpyArrayOrPyTorchTensor:
+        if use_numpy:
+            import numpy as np
+            return np.zeros(element_count, dtype=np.float32)
+        else:
+            return torch.zeros(element_count, dtype=torch.float32, device='cpu')

backend-python/rwkv_pip/cpp/rwkv_cpp_shared_library.py

@@ -0,0 +1,444 @@
+import os
+import sys
+import ctypes
+import pathlib
+import platform
+from typing import Optional, List, Tuple, Callable
+
+QUANTIZED_FORMAT_NAMES: Tuple[str, str, str, str, str] = (
+    'Q4_0',
+    'Q4_1',
+    'Q5_0',
+    'Q5_1',
+    'Q8_0'
+)
+
+P_FLOAT = ctypes.POINTER(ctypes.c_float)
+P_INT = ctypes.POINTER(ctypes.c_int32)
+
+class RWKVContext:
+
+    def __init__(self, ptr: ctypes.pointer) -> None:
+        self.ptr: ctypes.pointer = ptr
+
+class RWKVSharedLibrary:
+    """
+    Python wrapper around rwkv.cpp shared library.
+    """
+
+    def __init__(self, shared_library_path: str) -> None:
+        """
+        Loads the shared library from specified file.
+        In case of any error, this method will throw an exception.
+
+        Parameters
+        ----------
+        shared_library_path : str
+            Path to rwkv.cpp shared library. On Windows, it would look like 'rwkv.dll'. On UNIX, 'rwkv.so'.
+        """
+        #  When Python is greater than 3.8, we need to reprocess the custom dll
+        #  according to the documentation to prevent loading failure errors.
+        #  https://docs.python.org/3/whatsnew/3.8.html#ctypes
+        if platform.system().lower() == 'windows':
+            self.library = ctypes.CDLL(shared_library_path, winmode=0)
+        else:
+            self.library = ctypes.cdll.LoadLibrary(shared_library_path)
+
+        self.library.rwkv_init_from_file.argtypes = [ctypes.c_char_p, ctypes.c_uint32]
+        self.library.rwkv_init_from_file.restype = ctypes.c_void_p
+
+        self.library.rwkv_gpu_offload_layers.argtypes = [ctypes.c_void_p, ctypes.c_uint32]
+        self.library.rwkv_gpu_offload_layers.restype = ctypes.c_bool
+
+        self.library.rwkv_eval.argtypes = [
+            ctypes.c_void_p, # ctx
+            ctypes.c_int32, # token
+            P_FLOAT, # state_in
+            P_FLOAT, # state_out
+            P_FLOAT  # logits_out
+        ]
+        self.library.rwkv_eval.restype = ctypes.c_bool
+
+        self.library.rwkv_eval_sequence.argtypes = [
+            ctypes.c_void_p, # ctx
+            P_INT, # tokens
+            ctypes.c_size_t, # token count
+            P_FLOAT, # state_in
+            P_FLOAT, # state_out
+            P_FLOAT  # logits_out
+        ]
+        self.library.rwkv_eval_sequence.restype = ctypes.c_bool
+
+        self.library.rwkv_eval_sequence_in_chunks.argtypes = [
+            ctypes.c_void_p, # ctx
+            P_INT, # tokens
+            ctypes.c_size_t, # token count
+            ctypes.c_size_t, # chunk size
+            P_FLOAT, # state_in
+            P_FLOAT, # state_out
+            P_FLOAT  # logits_out
+        ]
+        self.library.rwkv_eval_sequence_in_chunks.restype = ctypes.c_bool
+
+        self.library.rwkv_get_n_vocab.argtypes = [ctypes.c_void_p]
+        self.library.rwkv_get_n_vocab.restype = ctypes.c_size_t
+
+        self.library.rwkv_get_n_embed.argtypes = [ctypes.c_void_p]
+        self.library.rwkv_get_n_embed.restype = ctypes.c_size_t
+
+        self.library.rwkv_get_n_layer.argtypes = [ctypes.c_void_p]
+        self.library.rwkv_get_n_layer.restype = ctypes.c_size_t
+
+        self.library.rwkv_get_state_buffer_element_count.argtypes = [ctypes.c_void_p]
+        self.library.rwkv_get_state_buffer_element_count.restype = ctypes.c_uint32
+
+        self.library.rwkv_get_logits_buffer_element_count.argtypes = [ctypes.c_void_p]
+        self.library.rwkv_get_logits_buffer_element_count.restype = ctypes.c_uint32
+
+        self.library.rwkv_free.argtypes = [ctypes.c_void_p]
+        self.library.rwkv_free.restype = None
+
+        self.library.rwkv_free.argtypes = [ctypes.c_void_p]
+        self.library.rwkv_free.restype = None
+
+        self.library.rwkv_quantize_model_file.argtypes = [ctypes.c_char_p, ctypes.c_char_p, ctypes.c_char_p]
+        self.library.rwkv_quantize_model_file.restype = ctypes.c_bool
+
+        self.library.rwkv_get_system_info_string.argtypes = []
+        self.library.rwkv_get_system_info_string.restype = ctypes.c_char_p
+
+        self.nullptr = ctypes.cast(0, ctypes.c_void_p)
+
+    def rwkv_init_from_file(self, model_file_path: str, thread_count: int) -> RWKVContext:
+        """
+        Loads the model from a file and prepares it for inference.
+        Throws an exception in case of any error. Error messages would be printed to stderr.
+
+        Parameters
+        ----------
+        model_file_path : str
+            Path to model file in ggml format.
+        thread_count : int
+            Count of threads to use, must be positive.
+        """
+
+        ptr = self.library.rwkv_init_from_file(model_file_path.encode('utf-8'), ctypes.c_uint32(thread_count))
+
+        assert ptr is not None, 'rwkv_init_from_file failed, check stderr'
+
+        return RWKVContext(ptr)
+
+    def rwkv_gpu_offload_layers(self, ctx: RWKVContext, layer_count: int) -> bool:
+        """
+        Offloads specified count of model layers onto the GPU. Offloaded layers are evaluated using cuBLAS or CLBlast.
+        For the purposes of this function, model head (unembedding matrix) is treated as an additional layer:
+        - pass `rwkv_get_n_layer(ctx)` to offload all layers except model head
+        - pass `rwkv_get_n_layer(ctx) + 1` to offload all layers, including model head
+        Returns true if at least one layer was offloaded.
+        If rwkv.cpp was compiled without cuBLAS and CLBlast support, this function is a no-op and always returns false.
+
+        Parameters
+        ----------
+        ctx : RWKVContext
+            RWKV context obtained from rwkv_init_from_file.
+        layer_count : int
+            Count of layers to offload onto the GPU, must be >= 0.
+        """
+
+        assert layer_count >= 0, 'Layer count must be >= 0'
+
+        return self.library.rwkv_gpu_offload_layers(ctx.ptr, ctypes.c_uint32(layer_count))
+
+    def rwkv_eval(
+            self,
+            ctx: RWKVContext,
+            token: int,
+            state_in_address: Optional[int],
+            state_out_address: int,
+            logits_out_address: int
+    ) -> None:
+        """
+        Evaluates the model for a single token.
+        Throws an exception in case of any error. Error messages would be printed to stderr.
+        Not thread-safe. For parallel inference, call rwkv_clone_context to create one rwkv_context for each thread.
+
+        Parameters
+        ----------
+        ctx : RWKVContext
+            RWKV context obtained from rwkv_init_from_file.
+        token : int
+            Next token index, in range 0 <= token < n_vocab.
+        state_in_address : int
+            Address of the first element of a FP32 buffer of size rwkv_get_state_buffer_element_count; or None, if this is a first pass.
+        state_out_address : int
+            Address of the first element of a FP32 buffer of size rwkv_get_state_buffer_element_count. This buffer will be written to.
+        logits_out_address : int
+            Address of the first element of a FP32 buffer of size rwkv_get_logits_buffer_element_count. This buffer will be written to.
+        """
+
+        assert self.library.rwkv_eval(
+            ctx.ptr,
+            ctypes.c_int32(token),
+            ctypes.cast(0 if state_in_address is None else state_in_address, P_FLOAT),
+            ctypes.cast(state_out_address, P_FLOAT),
+            ctypes.cast(logits_out_address, P_FLOAT)
+        ), 'rwkv_eval failed, check stderr'
+
+    def rwkv_eval_sequence(
+            self,
+            ctx: RWKVContext,
+            tokens: List[int],
+            state_in_address: Optional[int],
+            state_out_address: int,
+            logits_out_address: int
+    ) -> None:
+        """
+        Evaluates the model for a sequence of tokens.
+        Uses a faster algorithm than `rwkv_eval` if you do not need the state and logits for every token. Best used with sequence lengths of 64 or so.
+        Has to build a computation graph on the first call for a given sequence, but will use this cached graph for subsequent calls of the same sequence length.
+
+        NOTE ON GGML NODE LIMIT
+
+        ggml has a hard-coded limit on max amount of nodes in a computation graph. The sequence graph is built in a way that quickly exceedes
+        this limit when using large models and/or large sequence lengths.
+        Fortunately, rwkv.cpp's fork of ggml has increased limit which was tested to work for sequence lengths up to 64 for 14B models.
+
+        If you get `GGML_ASSERT: ...\\ggml.c:16941: cgraph->n_nodes < GGML_MAX_NODES`, this means you've exceeded the limit.
+        To get rid of the assertion failure, reduce the model size and/or sequence length.
+
+        Not thread-safe. For parallel inference, call `rwkv_clone_context` to create one rwkv_context for each thread.
+        Throws an exception in case of any error. Error messages would be printed to stderr.
+
+        Parameters
+        ----------
+        ctx : RWKVContext
+            RWKV context obtained from rwkv_init_from_file.
+        tokens : List[int]
+            Next token indices, in range 0 <= token < n_vocab.
+        state_in_address : int
+            Address of the first element of a FP32 buffer of size rwkv_get_state_buffer_element_count; or None, if this is a first pass.
+        state_out_address : int
+            Address of the first element of a FP32 buffer of size rwkv_get_state_buffer_element_count. This buffer will be written to.
+        logits_out_address : int
+            Address of the first element of a FP32 buffer of size rwkv_get_logits_buffer_element_count. This buffer will be written to.
+        """
+
+        assert self.library.rwkv_eval_sequence(
+            ctx.ptr,
+            ctypes.cast((ctypes.c_int32 * len(tokens))(*tokens), P_INT),
+            ctypes.c_size_t(len(tokens)),
+            ctypes.cast(0 if state_in_address is None else state_in_address, P_FLOAT),
+            ctypes.cast(state_out_address, P_FLOAT),
+            ctypes.cast(logits_out_address, P_FLOAT)
+        ), 'rwkv_eval_sequence failed, check stderr'
+
+    def rwkv_eval_sequence_in_chunks(
+            self,
+            ctx: RWKVContext,
+            tokens: List[int],
+            chunk_size: int,
+            state_in_address: Optional[int],
+            state_out_address: int,
+            logits_out_address: int
+    ) -> None:
+        """
+        Evaluates the model for a sequence of tokens using `rwkv_eval_sequence`, splitting a potentially long sequence into fixed-length chunks.
+        This function is useful for processing complete prompts and user input in chat & role-playing use-cases.
+        It is recommended to use this function instead of `rwkv_eval_sequence` to avoid mistakes and get maximum performance.
+
+        Chunking allows processing sequences of thousands of tokens, while not reaching the ggml's node limit and not consuming too much memory.
+        A reasonable and recommended value of chunk size is 16. If you want maximum performance, try different chunk sizes in range [2..64]
+        and choose one that works the best in your use case.
+
+        Not thread-safe. For parallel inference, call `rwkv_clone_context` to create one rwkv_context for each thread.
+        Throws an exception in case of any error. Error messages would be printed to stderr.
+
+        Parameters
+        ----------
+        ctx : RWKVContext
+            RWKV context obtained from rwkv_init_from_file.
+        tokens : List[int]
+            Next token indices, in range 0 <= token < n_vocab.
+        chunk_size : int
+            Size of each chunk in tokens, must be positive.
+        state_in_address : int
+            Address of the first element of a FP32 buffer of size rwkv_get_state_buffer_element_count; or None, if this is a first pass.
+        state_out_address : int
+            Address of the first element of a FP32 buffer of size rwkv_get_state_buffer_element_count. This buffer will be written to.
+        logits_out_address : int
+            Address of the first element of a FP32 buffer of size rwkv_get_logits_buffer_element_count. This buffer will be written to.
+        """
+
+        assert self.library.rwkv_eval_sequence_in_chunks(
+            ctx.ptr,
+            ctypes.cast((ctypes.c_int32 * len(tokens))(*tokens), P_INT),
+            ctypes.c_size_t(len(tokens)),
+            ctypes.c_size_t(chunk_size),
+            ctypes.cast(0 if state_in_address is None else state_in_address, P_FLOAT),
+            ctypes.cast(state_out_address, P_FLOAT),
+            ctypes.cast(logits_out_address, P_FLOAT)
+        ), 'rwkv_eval_sequence_in_chunks failed, check stderr'
+
+    def rwkv_get_n_vocab(self, ctx: RWKVContext) -> int:
+        """
+        Returns the number of tokens in the given model's vocabulary.
+        Useful for telling 20B_tokenizer models (n_vocab = 50277) apart from World models (n_vocab = 65536).
+
+        Parameters
+        ----------
+        ctx : RWKVContext
+            RWKV context obtained from rwkv_init_from_file.
+        """
+
+        return self.library.rwkv_get_n_vocab(ctx.ptr)
+
+    def rwkv_get_n_embed(self, ctx: RWKVContext) -> int:
+        """
+        Returns the number of elements in the given model's embedding.
+        Useful for reading individual fields of a model's hidden state.
+
+        Parameters
+        ----------
+        ctx : RWKVContext
+            RWKV context obtained from rwkv_init_from_file.
+        """
+
+        return self.library.rwkv_get_n_embed(ctx.ptr)
+
+    def rwkv_get_n_layer(self, ctx: RWKVContext) -> int:
+        """
+        Returns the number of layers in the given model.
+        A layer is a pair of RWKV and FFN operations, stacked multiple times throughout the model.
+        Embedding matrix and model head (unembedding matrix) are NOT counted in `n_layer`.
+        Useful for always offloading the entire model to GPU.
+
+        Parameters
+        ----------
+        ctx : RWKVContext
+            RWKV context obtained from rwkv_init_from_file.
+        """
+
+        return self.library.rwkv_get_n_layer(ctx.ptr)
+
+    def rwkv_get_state_buffer_element_count(self, ctx: RWKVContext) -> int:
+        """
+        Returns count of FP32 elements in state buffer.
+
+        Parameters
+        ----------
+        ctx : RWKVContext
+            RWKV context obtained from rwkv_init_from_file.
+        """
+
+        return self.library.rwkv_get_state_buffer_element_count(ctx.ptr)
+
+    def rwkv_get_logits_buffer_element_count(self, ctx: RWKVContext) -> int:
+        """
+        Returns count of FP32 elements in logits buffer.
+
+        Parameters
+        ----------
+        ctx : RWKVContext
+            RWKV context obtained from rwkv_init_from_file.
+        """
+
+        return self.library.rwkv_get_logits_buffer_element_count(ctx.ptr)
+
+    def rwkv_free(self, ctx: RWKVContext) -> None:
+        """
+        Frees all allocated memory and the context.
+
+        Parameters
+        ----------
+        ctx : RWKVContext
+            RWKV context obtained from rwkv_init_from_file.
+        """
+
+        self.library.rwkv_free(ctx.ptr)
+
+        ctx.ptr = self.nullptr
+
+    def rwkv_quantize_model_file(self, model_file_path_in: str, model_file_path_out: str, format_name: str) -> None:
+        """
+        Quantizes FP32 or FP16 model to one of INT4 formats.
+        Throws an exception in case of any error. Error messages would be printed to stderr.
+
+        Parameters
+        ----------
+        model_file_path_in : str
+            Path to model file in ggml format, must be either FP32 or FP16.
+        model_file_path_out : str
+            Quantized model will be written here.
+        format_name : str
+            One of QUANTIZED_FORMAT_NAMES.
+        """
+
+        assert format_name in QUANTIZED_FORMAT_NAMES, f'Unknown format name {format_name}, use one of {QUANTIZED_FORMAT_NAMES}'
+
+        assert self.library.rwkv_quantize_model_file(
+            model_file_path_in.encode('utf-8'),
+            model_file_path_out.encode('utf-8'),
+            format_name.encode('utf-8')
+        ), 'rwkv_quantize_model_file failed, check stderr'
+
+    def rwkv_get_system_info_string(self) -> str:
+        """
+        Returns system information string.
+        """
+
+        return self.library.rwkv_get_system_info_string().decode('utf-8')
+
+def load_rwkv_shared_library() -> RWKVSharedLibrary:
+    """
+    Attempts to find rwkv.cpp shared library and load it.
+    To specify exact path to the library, create an instance of RWKVSharedLibrary explicitly.
+    """
+
+    file_name: str
+
+    if 'win32' in sys.platform or 'cygwin' in sys.platform:
+        file_name = 'rwkv.dll'
+    elif 'darwin' in sys.platform:
+        file_name = 'librwkv.dylib'
+    else:
+        file_name = 'librwkv.so'
+
+    # Possible sub-paths to the library relative to the repo dir.
+    child_paths: List[Callable[[pathlib.Path], pathlib.Path]] = [
+        # No lookup for Debug config here.
+        # I assume that if a user wants to debug the library,
+        # they will be able to find the library and set the exact path explicitly.
+        lambda p: p / 'backend-python' / 'rwkv_pip' / 'cpp' / file_name,
+        lambda p: p / 'bin' / 'Release' / file_name,
+        lambda p: p / 'bin' / file_name,
+        # Some people prefer to build in the "build" subdirectory.
+        lambda p: p / 'build' / 'bin' / 'Release' / file_name,
+        lambda p: p / 'build' / 'bin' / file_name,
+        lambda p: p / 'build' / file_name,
+        # Fallback.
+        lambda p: p / file_name
+    ]
+
+    working_dir: pathlib.Path = pathlib.Path(os.path.abspath(os.getcwd()))
+
+    parent_paths: List[pathlib.Path] = [
+        # Possible repo dirs relative to the working dir.
+        # ./python/rwkv_cpp
+        working_dir.parent.parent,
+        # ./python
+        working_dir.parent,
+        # .
+        working_dir,
+        # Repo dir relative to this Python file.
+        pathlib.Path(os.path.abspath(__file__)).parent.parent.parent
+    ]
+
+    for parent_path in parent_paths:
+        for child_path in child_paths:
+            full_path: pathlib.Path = child_path(parent_path)
+
+            if os.path.isfile(full_path):
+                return RWKVSharedLibrary(str(full_path))
+
+    assert False, (f'Failed to find {file_name} automatically; '
+                   f'you need to find the library and create RWKVSharedLibrary specifying the path to it')

backend-python/rwkv_pip/cuda/gemm_fp16_cublas.cpp

@@ -3,6 +3,8 @@
 #include <cuda_fp16.h>
 #include <cuda_runtime.h>
 #include <torch/extension.h>
+#include <c10/cuda/CUDAGuard.h>
+#include <ATen/cuda/CUDAContext.h>
 
 #define CUBLAS_CHECK(condition)                                                \
   for (cublasStatus_t _cublas_check_status = (condition);                      \
@@ -18,26 +20,13 @@
         "CUDA error " + std::string(cudaGetErrorString(_cuda_check_status)) +  \
         " at " + std::to_string(__LINE__));
 
-cublasHandle_t get_cublas_handle() {
-  static cublasHandle_t cublas_handle = []() {
-    cublasHandle_t handle = nullptr;
-    CUBLAS_CHECK(cublasCreate(&handle));
-#if CUDA_VERSION < 11000
-    CUBLAS_CHECK(cublasSetMathMode(handle, CUBLAS_TENSOR_OP_MATH));
-#else
-    CUBLAS_CHECK(cublasSetMathMode(handle, CUBLAS_DEFAULT_MATH));
-#endif // CUDA_VERSION < 11000
-    return handle;
-  }();
-  return cublas_handle;
-}
-
 /*
   NOTE: blas gemm is column-major by default, but we need row-major output.
   The data of row-major, transposed matrix is exactly the same as the
   column-major, non-transposed matrix, and C = A * B ---> C^T = B^T * A^T
  */
 void gemm_fp16_cublas(torch::Tensor a, torch::Tensor b, torch::Tensor c) {
+  const at::cuda::OptionalCUDAGuard device_guard(device_of(a));
   const auto cuda_data_type = CUDA_R_16F;
   const auto cuda_c_data_type =
       c.dtype() == torch::kFloat32 ? CUDA_R_32F : CUDA_R_16F;
@@ -55,7 +44,7 @@ void gemm_fp16_cublas(torch::Tensor a, torch::Tensor b, torch::Tensor c) {
   const int cublas_lda = m;
   const int cublas_ldb = k;
   const int cublas_ldc = m;
-  cublasHandle_t cublas_handle = get_cublas_handle();
+  cublasHandle_t cublas_handle = at::cuda::getCurrentCUDABlasHandle();
 
 #if CUDA_VERSION >= 11000
   cublasGemmAlgo_t algo = CUBLAS_GEMM_DEFAULT;

backend-python/rwkv_pip/cuda/rwkv5_op.cpp

@@ -1,5 +1,6 @@
 #include <torch/extension.h>
 #include "ATen/ATen.h"
+#include <c10/cuda/CUDAGuard.h>
 typedef at::BFloat16 bf16;
 typedef at::Half fp16;
 typedef float fp32;
@@ -9,12 +10,15 @@ void cuda_forward_fp16(int B, int T, int C, int H, float *state, fp16 *r, fp16 *
 void cuda_forward_fp32(int B, int T, int C, int H, float *state, fp32 *r, fp32 *k, fp32 *v, float *w, fp32 *u, fp32 *y);
 
 void forward_bf16(int64_t B, int64_t T, int64_t C, int64_t H, torch::Tensor &state, torch::Tensor &r, torch::Tensor &k, torch::Tensor &v, torch::Tensor &w, torch::Tensor &u, torch::Tensor &y) {
+    const at::cuda::OptionalCUDAGuard device_guard(device_of(state));
     cuda_forward_bf16(B, T, C, H, state.data_ptr<float>(), r.data_ptr<bf16>(), k.data_ptr<bf16>(), v.data_ptr<bf16>(), w.data_ptr<float>(), u.data_ptr<bf16>(), y.data_ptr<bf16>());
 }
 void forward_fp16(int64_t B, int64_t T, int64_t C, int64_t H, torch::Tensor &state, torch::Tensor &r, torch::Tensor &k, torch::Tensor &v, torch::Tensor &w, torch::Tensor &u, torch::Tensor &y) {
+    const at::cuda::OptionalCUDAGuard device_guard(device_of(state));
     cuda_forward_fp16(B, T, C, H, state.data_ptr<float>(), r.data_ptr<fp16>(), k.data_ptr<fp16>(), v.data_ptr<fp16>(), w.data_ptr<float>(), u.data_ptr<fp16>(), y.data_ptr<fp16>());
 }
 void forward_fp32(int64_t B, int64_t T, int64_t C, int64_t H, torch::Tensor &state, torch::Tensor &r, torch::Tensor &k, torch::Tensor &v, torch::Tensor &w, torch::Tensor &u, torch::Tensor &y) {
+    const at::cuda::OptionalCUDAGuard device_guard(device_of(state));
     cuda_forward_fp32(B, T, C, H, state.data_ptr<float>(), r.data_ptr<fp32>(), k.data_ptr<fp32>(), v.data_ptr<fp32>(), w.data_ptr<float>(), u.data_ptr<fp32>(), y.data_ptr<fp32>());
 }
 

backend-python/rwkv_pip/cuda/rwkv6.cu

@@ -0,0 +1,87 @@
+#include <stdio.h>
+#include <assert.h>
+#include "ATen/ATen.h"
+typedef at::BFloat16 bf16;
+typedef at::Half fp16;
+typedef float fp32;
+
+template <typename F>
+__global__ void kernel_forward(const int B, const int T, const int C, const int H, float *__restrict__ _state,
+                               const F *__restrict__ const _r, const F *__restrict__ const _k, const F *__restrict__ const _v, const float *__restrict__ _w, const F *__restrict__ _u,
+                               F *__restrict__ const _y)
+{
+    const int b = blockIdx.x / H;
+    const int h = blockIdx.x % H;
+    const int i = threadIdx.x;
+    _u += h*_N_;
+    _state += h*_N_*_N_ + i*_N_; // wrong if B > 1 !!!
+
+    __shared__ float r[_N_], k[_N_], u[_N_], w[_N_];
+    
+    float state[_N_];
+    #pragma unroll
+    for (int j = 0; j < _N_; j++)
+        state[j] = _state[j];
+
+    __syncthreads();
+    u[i] = float(_u[i]);
+    __syncthreads();
+
+    for (int t = b*T*C + h*_N_ + i; t < (b+1)*T*C + h*_N_ + i; t += C)
+    {
+        __syncthreads();
+        w[i] = _w[t];
+        r[i] = float(_r[t]);
+        k[i] = float(_k[t]);
+        __syncthreads();
+
+        const float v = float(_v[t]);
+        float y = 0;
+
+        #pragma unroll
+        for (int j = 0; j < _N_; j+=4)
+        {
+            const float4& r_ = (float4&)(r[j]);
+            const float4& k_ = (float4&)(k[j]);
+            const float4& w_ = (float4&)(w[j]);
+            const float4& u_ = (float4&)(u[j]);
+            float4& s = (float4&)(state[j]);
+            float4 x;
+
+            x.x = k_.x * v;
+            x.y = k_.y * v;
+            x.z = k_.z * v;
+            x.w = k_.w * v;
+
+            y += r_.x * (u_.x * x.x + s.x);
+            y += r_.y * (u_.y * x.y + s.y);
+            y += r_.z * (u_.z * x.z + s.z);
+            y += r_.w * (u_.w * x.w + s.w);
+
+            s.x = s.x * w_.x + x.x;
+            s.y = s.y * w_.y + x.y;
+            s.z = s.z * w_.z + x.z;
+            s.w = s.w * w_.w + x.w;
+        }
+        _y[t] = F(y);
+    }
+    #pragma unroll
+    for (int j = 0; j < _N_; j++)
+        _state[j] = state[j];
+}
+
+void cuda_forward_bf16(int B, int T, int C, int H, float *state, bf16 *r, bf16 *k, bf16 *v, float *w, bf16 *u, bf16 *y)
+{
+    assert(H*_N_ == C);
+    kernel_forward<<<dim3(B * H), dim3(_N_)>>>(B, T, C, H, state, r, k, v, w, u, y);
+}
+void cuda_forward_fp16(int B, int T, int C, int H, float *state, fp16 *r, fp16 *k, fp16 *v, float *w, fp16 *u, fp16 *y)
+{
+    assert(H*_N_ == C);
+    kernel_forward<<<dim3(B * H), dim3(_N_)>>>(B, T, C, H, state, r, k, v, w, u, y);
+}
+void cuda_forward_fp32(int B, int T, int C, int H, float *state, fp32 *r, fp32 *k, fp32 *v, float *w, fp32 *u, fp32 *y)
+{
+    assert(H*_N_ == C);
+    kernel_forward<<<dim3(B * H), dim3(_N_)>>>(B, T, C, H, state, r, k, v, w, u, y);
+}

backend-python/rwkv_pip/cuda/rwkv6_op.cpp

@@ -0,0 +1,34 @@
+#include <torch/extension.h>
+#include "ATen/ATen.h"
+#include <c10/cuda/CUDAGuard.h>
+typedef at::BFloat16 bf16;
+typedef at::Half fp16;
+typedef float fp32;
+
+void cuda_forward_bf16(int B, int T, int C, int H, float *state, bf16 *r, bf16 *k, bf16 *v, float *w, bf16 *u, bf16 *y);
+void cuda_forward_fp16(int B, int T, int C, int H, float *state, fp16 *r, fp16 *k, fp16 *v, float *w, fp16 *u, fp16 *y);
+void cuda_forward_fp32(int B, int T, int C, int H, float *state, fp32 *r, fp32 *k, fp32 *v, float *w, fp32 *u, fp32 *y);
+
+void forward_bf16(int64_t B, int64_t T, int64_t C, int64_t H, torch::Tensor &state, torch::Tensor &r, torch::Tensor &k, torch::Tensor &v, torch::Tensor &w, torch::Tensor &u, torch::Tensor &y) {
+    const at::cuda::OptionalCUDAGuard device_guard(device_of(state));
+    cuda_forward_bf16(B, T, C, H, state.data_ptr<float>(), r.data_ptr<bf16>(), k.data_ptr<bf16>(), v.data_ptr<bf16>(), w.data_ptr<float>(), u.data_ptr<bf16>(), y.data_ptr<bf16>());
+}
+void forward_fp16(int64_t B, int64_t T, int64_t C, int64_t H, torch::Tensor &state, torch::Tensor &r, torch::Tensor &k, torch::Tensor &v, torch::Tensor &w, torch::Tensor &u, torch::Tensor &y) {
+    const at::cuda::OptionalCUDAGuard device_guard(device_of(state));
+    cuda_forward_fp16(B, T, C, H, state.data_ptr<float>(), r.data_ptr<fp16>(), k.data_ptr<fp16>(), v.data_ptr<fp16>(), w.data_ptr<float>(), u.data_ptr<fp16>(), y.data_ptr<fp16>());
+}
+void forward_fp32(int64_t B, int64_t T, int64_t C, int64_t H, torch::Tensor &state, torch::Tensor &r, torch::Tensor &k, torch::Tensor &v, torch::Tensor &w, torch::Tensor &u, torch::Tensor &y) {
+    const at::cuda::OptionalCUDAGuard device_guard(device_of(state));
+    cuda_forward_fp32(B, T, C, H, state.data_ptr<float>(), r.data_ptr<fp32>(), k.data_ptr<fp32>(), v.data_ptr<fp32>(), w.data_ptr<float>(), u.data_ptr<fp32>(), y.data_ptr<fp32>());
+}
+
+PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
+    m.def("forward_bf16", &forward_bf16, "rwkv6 forward_bf16");
+    m.def("forward_fp16", &forward_fp16, "rwkv6 forward_fp16");
+    m.def("forward_fp32", &forward_fp32, "rwkv6 forward_fp32");
+}
+TORCH_LIBRARY(rwkv6, m) {
+    m.def("forward_bf16", forward_bf16);
+    m.def("forward_fp16", forward_fp16);
+    m.def("forward_fp32", forward_fp32);
+}

backend-python/rwkv_pip/utils.py

@@ -78,11 +78,24 @@ class PIPELINE:
     def decode(self, x):
         return self.tokenizer.decode(x)
 
+    def np_softmax(self, x: np.ndarray, axis: int):
+        x -= x.max(axis=axis, keepdims=True)
+        e: np.ndarray = np.exp(x)
+        return e / e.sum(axis=axis, keepdims=True)
+
     def sample_logits(self, logits, temperature=1.0, top_p=0.85, top_k=0):
-        probs = F.softmax(logits.float(), dim=-1)
+        if type(logits) == list:
+            logits = np.array(logits)
+        np_logits = type(logits) == np.ndarray
+        if np_logits:
+            probs = self.np_softmax(logits, axis=-1)
+        else:
+            probs = F.softmax(logits.float(), dim=-1)
         top_k = int(top_k)
-        if probs.device == torch.device("cpu"):
-            probs = probs.numpy()
+        # 'privateuseone' is the type of custom devices like `torch_directml.device()`
+        if np_logits or probs.device.type in ["cpu", "privateuseone"]:
+            if not np_logits:
+                probs = probs.cpu().numpy()
             sorted_ids = np.argsort(probs)
             sorted_probs = probs[sorted_ids][::-1]
             cumulative_probs = np.cumsum(sorted_probs)

backend-python/rwkv_pip/webgpu/model.py

@@ -0,0 +1,26 @@
+from typing import Any, List, Union
+
+try:
+    import web_rwkv_py as wrp
+except ModuleNotFoundError:
+    try:
+        from . import web_rwkv_py as wrp
+    except ImportError:
+        raise ModuleNotFoundError(
+            "web_rwkv_py not found, install it from https://github.com/cryscan/web-rwkv-py"
+        )
+
+
+class RWKV:
+    def __init__(self, model_path: str, strategy: str = None):
+        self.model = wrp.v5.Model(
+            model_path,
+            turbo=True,
+            quant=32 if "i8" in strategy else None,
+            quant_nf4=26 if "i4" in strategy else None,
+        )
+        self.w = {}  # fake weight
+        self.w["emb.weight"] = [0] * wrp.peek_info(model_path).num_vocab
+
+    def forward(self, tokens: List[int], state: Union[Any, None] = None):
+        return wrp.v5.run_one(self.model, tokens, state)

backend-python/utils/log.py

@@ -10,7 +10,7 @@ logger = logging.getLogger()
 logger.setLevel(logging.INFO)
 formatter = logging.Formatter("%(asctime)s - %(levelname)s\n%(message)s")
 fh = logging.handlers.RotatingFileHandler(
-    "api.log", mode="a", maxBytes=3 * 1024 * 1024, backupCount=3
+    "api.log", mode="a", maxBytes=3 * 1024 * 1024, backupCount=3, encoding="utf-8"
 )
 fh.setFormatter(formatter)
 logger.addHandler(fh)

backend-python/utils/midi.py

@@ -52,6 +52,8 @@ class VocabConfig:
     bin_name_to_program_name: Dict[str, str]
     # Mapping from program number to instrument name.
     instrument_names: Dict[str, str]
+    # Manual override for velocity bins. Each element is the max velocity value for that bin by index.
+    velocity_bins_override: Optional[List[int]] = None
 
     def __post_init__(self):
         self.validate()
@@ -116,6 +118,12 @@ class VocabConfig:
             raise ValueError("velocity_bins must be at least 2")
         if len(self.bin_instrument_names) > 16:
             raise ValueError("bin_instruments must have at most 16 values")
+        if self.velocity_bins_override:
+            print("VocabConfig is using velocity_bins_override. Ignoring velocity_exp.")
+            if len(self.velocity_bins_override) != self.velocity_bins:
+                raise ValueError(
+                    "velocity_bins_override must have same length as velocity_bins"
+                )
         if (
             self.ch10_instrument_bin_name
             and self.ch10_instrument_bin_name not in self.bin_instrument_names
@@ -156,6 +164,11 @@ class VocabUtils:
 
     def velocity_to_bin(self, velocity: float) -> int:
         velocity = max(0, min(velocity, self.cfg.velocity_events - 1))
+        if self.cfg.velocity_bins_override:
+            for i, v in enumerate(self.cfg.velocity_bins_override):
+                if velocity <= v:
+                    return i
+            return 0
         binsize = self.cfg.velocity_events / (self.cfg.velocity_bins - 1)
         if self.cfg.velocity_exp == 1.0:
             return ceil(velocity / binsize)
@@ -176,6 +189,8 @@ class VocabUtils:
             )
 
     def bin_to_velocity(self, bin: int) -> int:
+        if self.cfg.velocity_bins_override:
+            return self.cfg.velocity_bins_override[bin]
         binsize = self.cfg.velocity_events / (self.cfg.velocity_bins - 1)
         if self.cfg.velocity_exp == 1.0:
             return max(0, ceil(bin * binsize - 1))
@@ -358,13 +373,32 @@ class AugmentConfig:
             )
 
 
+@dataclass
+class FilterConfig:
+    # Whether to filter out MIDI files with duplicate MD5 hashes.
+    deduplicate_md5: bool
+    # Minimum time delay between notes in a file before splitting into multiple documents.
+    piece_split_delay: float
+    # Minimum length of a piece in milliseconds.
+    min_piece_length: float
+
+    @classmethod
+    def from_json(cls, path: str):
+        with open(path, "r") as f:
+            config = json.load(f)
+        return cls(**config)
+
+
 def mix_volume(velocity: int, volume: int, expression: int) -> float:
     return velocity * (volume / 127.0) * (expression / 127.0)
 
 
 def convert_midi_to_str(
-    cfg: VocabConfig, mid: mido.MidiFile, augment: AugmentValues = None
-) -> str:
+    cfg: VocabConfig,
+    filter_cfg: FilterConfig,
+    mid: mido.MidiFile,
+    augment: AugmentValues = None,
+) -> List[str]:
     utils = VocabUtils(cfg)
     if augment is None:
         augment = AugmentValues.default()
@@ -390,7 +424,9 @@ def convert_midi_to_str(
     }  # {channel: {(note, program) -> True}}
     started_flag = False
 
+    output_list = []
     output = ["<start>"]
+    output_length_ms = 0.0
     token_data_buffer: List[
         Tuple[int, int, int, float]
     ] = []  # need to sort notes between wait tokens
@@ -432,16 +468,33 @@ def convert_midi_to_str(
         token_data_buffer = []
 
     def consume_note_program_data(prog: int, chan: int, note: int, vel: float):
-        nonlocal output, started_flag, delta_time_ms, cfg, utils, token_data_buffer
+        nonlocal output, output_length_ms, started_flag, delta_time_ms, cfg, utils, token_data_buffer
         is_token_valid = (
             utils.prog_data_to_token_data(prog, chan, note, vel) is not None
         )
         if not is_token_valid:
             return
+
+        if delta_time_ms > filter_cfg.piece_split_delay * 1000.0:
+            # check if any notes are still held
+            silent = True
+            for channel in channel_notes.keys():
+                if len(channel_notes[channel]) > 0:
+                    silent = False
+                    break
+            if silent:
+                flush_token_data_buffer()
+                output.append("<end>")
+                if output_length_ms > filter_cfg.min_piece_length * 1000.0:
+                    output_list.append(" ".join(output))
+                output = ["<start>"]
+                output_length_ms = 0.0
+                started_flag = False
         if started_flag:
             wait_tokens = utils.data_to_wait_tokens(delta_time_ms)
             if len(wait_tokens) > 0:
                 flush_token_data_buffer()
+                output_length_ms += delta_time_ms
                 output += wait_tokens
         delta_time_ms = 0.0
         token_data_buffer.append((prog, chan, note, vel * augment.velocity_mod_factor))
@@ -510,7 +563,9 @@ def convert_midi_to_str(
 
     flush_token_data_buffer()
     output.append("<end>")
-    return " ".join(output)
+    if output_length_ms > filter_cfg.min_piece_length * 1000.0:
+        output_list.append(" ".join(output))
+    return output_list
 
 
 def generate_program_change_messages(cfg: VocabConfig):
@@ -633,10 +688,10 @@ def token_to_midi_message(
                 if utils.cfg.decode_fix_repeated_notes:
                     if (channel, note) in state.active_notes:
                         del state.active_notes[(channel, note)]
-                    yield mido.Message(
-                        "note_off", note=note, time=ticks, channel=channel
-                    ), state
-                    ticks = 0
+                        yield mido.Message(
+                            "note_off", note=note, time=ticks, channel=channel
+                        ), state
+                        ticks = 0
                 state.active_notes[(channel, note)] = state.total_time
                 yield mido.Message(
                     "note_on", note=note, velocity=velocity, time=ticks, channel=channel

backend-python/utils/midi_filter_config.json

@@ -0,0 +1,5 @@
+{
+    "deduplicate_md5": true,
+    "piece_split_delay": 10000,
+    "min_piece_length": 0
+}

backend-python/utils/ngrok.py

@@ -1,11 +1,13 @@
 import os
-import sys
+import global_var
 
 
 def ngrok_connect():
     from pyngrok import ngrok, conf
 
-    conf.set_default(conf.PyngrokConfig(ngrok_path="./ngrok"))
+    conf.set_default(
+        conf.PyngrokConfig(ngrok_path="./ngrok.exe" if os.name == "nt" else "./ngrok")
+    )
     ngrok.set_auth_token(os.environ["ngrok_token"])
-    http_tunnel = ngrok.connect(8000 if len(sys.argv) == 1 else int(sys.argv[1]))
-    print(http_tunnel.public_url)
+    http_tunnel = ngrok.connect(global_var.get(global_var.Args).port)
+    print(f"ngrok url: {http_tunnel.public_url}")

backend-python/utils/rwkv.py

@@ -8,7 +8,6 @@ from typing import Dict, Iterable, List, Tuple, Union, Type
 from utils.log import quick_log
 from fastapi import HTTPException
 from pydantic import BaseModel, Field
-import numpy as np
 from routes import state_cache
 import global_var
 
@@ -68,6 +67,8 @@ class AbstractRWKV(ABC):
         pass
 
     def get_embedding(self, input: str, fast_mode: bool) -> Tuple[List[float], int]:
+        import numpy as np
+
         if fast_mode:
             embedding, token_len = self.__fast_embedding(
                 self.fix_tokens(self.pipeline.encode(input)), None
@@ -222,6 +223,8 @@ class AbstractRWKV(ABC):
     def generate(
         self, prompt: str, stop: Union[str, List[str], None] = None
     ) -> Iterable[Tuple[str, str, int, int]]:
+        import numpy as np
+
         quick_log(None, None, "Generation Prompt:\n" + prompt)
         cache = None
         delta_prompt = prompt
@@ -231,7 +234,7 @@ class AbstractRWKV(ABC):
             )
         except HTTPException:
             pass
-        if cache is None or cache["prompt"] == "":
+        if cache is None or cache["prompt"] == "" or cache["state"] is None:
             self.model_state = None
             self.model_tokens = []
         else:
@@ -510,12 +513,28 @@ def get_tokenizer(tokenizer_len: int):
 
 def RWKV(model: str, strategy: str, tokenizer: Union[str, None]) -> AbstractRWKV:
     rwkv_beta = global_var.get(global_var.Args).rwkv_beta
+    rwkv_cpp = getattr(global_var.get(global_var.Args), "rwkv.cpp")
+    webgpu = global_var.get(global_var.Args).webgpu
+
+    if "midi" in model.lower() or "abc" in model.lower():
+        os.environ["RWKV_RESCALE_LAYER"] = "999"
 
     # dynamic import to make RWKV_CUDA_ON work
     if rwkv_beta:
+        print("Using rwkv-beta")
         from rwkv_pip.beta.model import (
             RWKV as Model,
         )
+    elif rwkv_cpp:
+        print("Using rwkv.cpp, strategy is ignored")
+        from rwkv_pip.cpp.model import (
+            RWKV as Model,
+        )
+    elif webgpu:
+        print("Using webgpu")
+        from rwkv_pip.webgpu.model import (
+            RWKV as Model,
+        )
     else:
         from rwkv_pip.model import (
             RWKV as Model,
@@ -551,8 +570,8 @@ class ModelConfigBody(BaseModel):
     presence_penalty: float = Field(default=None, ge=-2, le=2)
     frequency_penalty: float = Field(default=None, ge=-2, le=2)
 
-    class Config:
-        json_schema_extra = {
+    model_config = {
+        "json_schema_extra": {
             "example": {
                 "max_tokens": 1000,
                 "temperature": 1.2,
@@ -561,6 +580,7 @@ class ModelConfigBody(BaseModel):
                 "frequency_penalty": 0.4,
             }
         }
+    }
 
 
 def set_rwkv_config(model: AbstractRWKV, body: ModelConfigBody):

backend-python/webui_server.py

@@ -0,0 +1,14 @@
+from fastapi import FastAPI
+from fastapi.middleware.gzip import GZipMiddleware
+from fastapi.staticfiles import StaticFiles
+import uvicorn
+
+webui_server = FastAPI()
+
+webui_server.add_middleware(GZipMiddleware, minimum_size=1000)
+webui_server.mount(
+    "/", StaticFiles(directory="frontend/dist", html=True), name="static"
+)
+
+if __name__ == "__main__":
+    uvicorn.run("webui_server:webui_server")

build/darwin/Readme_Install.txt

@@ -1,3 +1,8 @@
+Client Download URL:
+客户端下载地址:
+クライアントのダウンロードURL:
+https://github.com/josStorer/RWKV-Runner/releases/latest/download/RWKV-Runner_macos_universal.zip
+
 For Mac and Linux users, please manually install Python 3.10 (usually the latest systems come with it built-in). You can specify the Python interpreter to use in Settings. (which python3)
 对于Mac和Linux用户，请手动安装 Python3.10 (通常最新的系统已经内置了). 你可以在设置中指定使用的Python解释器. (which python3)
 MacおよびLinuxのユーザーの方は、Python3.10を手動でインストールしてください（通常、最新のシステムには既に組み込まれています）。 設定メニューで使用するPythonインタプリタを指定することができます。 (which python3)

build/linux/Readme_Install.txt

@@ -1,3 +1,8 @@
+Client Download URL:
+客户端下载地址:
+クライアントのダウンロードURL:
+https://github.com/josStorer/RWKV-Runner/releases/latest/download/RWKV-Runner_linux_x64
+
 For Mac and Linux users, please manually install Python 3.10 (usually the latest systems come with it built-in). You can specify the Python interpreter to use in Settings.
 对于Mac和Linux用户，请手动安装 Python3.10 (通常最新的系统已经内置了). 你可以在设置中指定使用的Python解释器.
 MacおよびLinuxのユーザーの方は、Python3.10を手動でインストールしてください（通常、最新のシステムには既に組み込まれています）。 設定メニューで使用するPythonインタプリタを指定することができます。

build/windows/Readme_Install.txt

@@ -1,3 +1,8 @@
+Client Download URL:
+客户端下载地址:
+クライアントのダウンロードURL:
+https://github.com/josStorer/RWKV-Runner/releases/latest/download/RWKV-Runner_windows_x64.exe
+
 Please execute this program in an empty directory. All related dependencies will be placed in this directory.
 请将本程序放在一个空目录内执行, 所有相关依赖均会放置于此目录.
 このプログラムを空のディレクトリで実行してください。関連するすべての依存関係は、このディレクトリに配置されます。

deploy-examples/ChatGPT-Next-Web/setup.sh

@@ -9,7 +9,7 @@ cd RWKV-Next-Web
 git clone https://github.com/josStorer/RWKV-Runner --depth=1
 python3 -m pip install torch torchvision torchaudio
 python3 -m pip install -r RWKV-Runner/backend-python/requirements.txt
-python3 ./RWKV-Runner/backend-python/main.py > log.txt &
+python3 ./RWKV-Runner/backend-python/main.py > log.txt & # this is only an example, you should use screen or other tools to run it in background
 
 if [ ! -d RWKV-Runner/models ]; then
     mkdir RWKV-Runner/models
@@ -22,6 +22,6 @@ yarn install
 yarn build
 export PROXY_URL=""
 export BASE_URL=http://127.0.0.1:8000
-yarn start &
+yarn start & # this is only an example, you should use screen or other tools to run it in background
 
 curl http://127.0.0.1:8000/switch-model -X POST -H "Content-Type: application/json" -d '{"model":"./RWKV-Runner/models/RWKV-4-World-0.1B-v1-20230520-ctx4096.pth","strategy":"cpu fp32"}'

deploy-examples/RWKV-Runner-WebUI/setup.bat

@@ -0,0 +1,19 @@
+: install git python3.10 npm by yourself
+: change model and strategy according to your hardware
+
+git clone https://github.com/josStorer/RWKV-Runner --depth=1
+python -m pip install torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 --index-url https://download.pytorch.org/whl/cu117
+python -m pip install -r RWKV-Runner/backend-python/requirements.txt
+cd RWKV-Runner/frontend
+call npm ci
+call npm run build
+cd ..
+
+: optional: set ngrok_token=YOUR_NGROK_TOKEN
+start python ./backend-python/main.py --webui
+start "C:\Program Files (x86)\Microsoft\Edge\Application\msedge.exe" "http://127.0.0.1:8000"
+
+powershell -Command "(Test-Path ./models) -or (mkdir models)"
+powershell -Command "Import-Module BitsTransfer"
+powershell -Command "(Test-Path ./models/RWKV-4-World-1.5B-v1-fixed-20230612-ctx4096.pth) -or (Start-BitsTransfer https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-1.5B-v1-fixed-20230612-ctx4096.pth ./models/RWKV-4-World-1.5B-v1-fixed-20230612-ctx4096.pth)"
+powershell -Command "Invoke-WebRequest http://127.0.0.1:8000/switch-model -Method POST -ContentType 'application/json' -Body '{\"model\":\"./models/RWKV-4-World-1.5B-v1-fixed-20230612-ctx4096.pth\",\"strategy\":\"cuda fp32 *20+\",\"deploy\":\"true\"}'"

deploy-examples/RWKV-Runner-WebUI/setup.sh

@@ -0,0 +1,22 @@
+# install git python3.10 npm by yourself
+# change model and strategy according to your hardware
+
+sudo apt install python3-dev
+
+git clone https://github.com/josStorer/RWKV-Runner --depth=1
+python3 -m pip install torch torchvision torchaudio
+python3 -m pip install -r RWKV-Runner/backend-python/requirements.txt
+cd RWKV-Runner/frontend
+npm ci
+npm run build
+cd ..
+
+# optional: export ngrok_token=YOUR_NGROK_TOKEN
+python3 ./backend-python/main.py --webui > log.txt & # this is only an example, you should use screen or other tools to run it in background
+
+if [ ! -d models ]; then
+    mkdir models
+fi
+wget -N https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-0.1B-v1-20230520-ctx4096.pth -P models/
+
+curl http://127.0.0.1:8000/switch-model -X POST -H "Content-Type: application/json" -d '{"model":"./models/RWKV-4-World-0.1B-v1-20230520-ctx4096.pth","strategy":"cpu fp32","deploy":"true"}'

exportModelsJson.js

@@ -19,14 +19,15 @@ document.querySelectorAll('.grid.h-10.grid-cols-12.place-content-center.gap-x-3.
   if (!data.name.endsWith('.bin') && !data.name.endsWith('.pth'))
     return
 
-  data.desc = {en: '', zh: ''}
+  data.desc = { en: '', zh: '', ja: '' }
   const rawText = await (await fetch(e.children[1].href.replace('/resolve/', '/raw/'))).text()
 
   data.size = parseInt(extractValue(rawText, 'size'))
   data.SHA256 = extractValue(rawText, 'oid sha256:')
   data.lastUpdated = e.children[3].children[0].getAttribute('datetime')
-  data.url = e.children[1].href.replace('/resolve/', '/blob/')
-  data.downloadUrl = e.children[1].href
+  data.url = e.children[1].href.replace('/resolve/', '/blob/').replace('?download=true', '')
+  data.downloadUrl = e.children[1].href.replace('?download=true', '')
+  data.tags = []
 
   modelsJson.push(data)
 })

finetune/get_layer_and_embd.py

@@ -23,6 +23,7 @@ def file_cleaner(file):
     return cleaner
 
 
+expected_max_version = float(sys.argv[2]) if len(sys.argv) > 2 else 100
 model_file = open(sys.argv[1], "rb")
 cleaner = file_cleaner(model_file)
 cleaner_thread = threading.Thread(target=cleaner, daemon=True)
@@ -34,8 +35,23 @@ gc.collect()
 n_embd = w["emb.weight"].shape[1]
 n_layer = 0
 keys = list(w.keys())
+version = 4
 for x in keys:
     layer_id = int(x.split(".")[1]) if ("blocks." in x) else 0
     n_layer = max(n_layer, layer_id + 1)
 
-print(f"--n_layer {n_layer} --n_embd {n_embd}", end="")
+    if "ln_x" in x:
+        version = max(5, version)
+    if "gate.weight" in x:
+        version = max(5.1, version)
+    if int(version) == 5 and "att.time_decay" in x:
+        if len(w[x].shape) > 1:
+            if w[x].shape[1] > 1:
+                version = max(5.2, version)
+    if "time_maa" in x:
+        version = max(6, version)
+
+if version <= expected_max_version:
+    print(f"--n_layer {n_layer} --n_embd {n_embd}", end="")
+else:
+    raise Exception(f"RWKV{version} is not supported")

finetune/install-wsl-dep-and-train.sh

@@ -47,8 +47,12 @@ else
 fi
 
 echo "loading $loadModel"
-modelInfo=$(python3 ./finetune/get_layer_and_embd.py $loadModel)
+modelInfo=$(python3 ./finetune/get_layer_and_embd.py $loadModel 4)
 echo $modelInfo
-
-python3 ./finetune/lora/train.py $modelInfo $@ --proj_dir lora-models --data_type binidx --lora \
-  --lora_parts=att,ffn,time,ln --strategy deepspeed_stage_2 --accelerator gpu
+if [[ $modelInfo =~ "--n_layer" ]]; then
+  python3 ./finetune/lora/train.py $modelInfo $@ --proj_dir lora-models --data_type binidx --lora \
+    --lora_parts=att,ffn,time,ln --strategy deepspeed_stage_2 --accelerator gpu
+else
+  echo "modelInfo is invalid"
+  exit 1
+fi

finetune/json2binidx_tool/tools/preprocess_data.py

@@ -246,5 +246,6 @@ if __name__ == "__main__":
     try:
         main()
     except Exception as e:
+        print(e)
         with open("error.txt", "w") as f:
             f.write(str(e))

finetune/lora/merge_lora.py

@@ -64,5 +64,6 @@ try:
 
         torch.save(output_w, output)
 except Exception as e:
+    print(e)
     with open("error.txt", "w") as f:
         f.write(str(e))

finetune/lora/train.py

@@ -264,7 +264,7 @@ if __name__ == "__main__":
 #
 # Data = {args.data_file} ({args.data_type}), ProjDir = {args.proj_dir}
 #
-# Epoch = {args.epoch_begin} to {args.epoch_begin + args.epoch_count - 1} (will continue afterwards), save every {args.epoch_save} epoch
+# Epoch = {args.epoch_begin} to {args.epoch_begin + args.epoch_count - 1}, save every {args.epoch_save} epoch
 #
 # Each "epoch" = {args.epoch_steps} steps, {samples_per_epoch} samples, {tokens_per_epoch} tokens
 #

finetune/requirements.txt

@@ -1,3 +1,3 @@
 torch==1.13.1
 pytorch_lightning==1.9.5
-deepspeed
+deepspeed==0.11.2

frontend/index.html

@@ -1,9 +1,10 @@
 <!DOCTYPE html>
 <html lang="en">
 <head>
-    <meta charset="UTF-8"/>
-    <meta content="width=device-width, initial-scale=1.0" name="viewport"/>
-    <title>RWKV-Runner</title>
+  <meta charset="UTF-8" />
+  <meta content="width=device-width, initial-scale=1.0" name="viewport" />
+  <title>RWKV-Runner</title>
+  <link href="./src/assets/images/logo.png" rel="icon" type="image/x-icon">
 </head>
 <body>
 <div id="root"></div>

frontend/package.json

@@ -16,15 +16,18 @@
     "@primer/octicons-react": "^19.1.0",
     "chart.js": "^4.3.0",
     "classnames": "^2.3.2",
-    "github-markdown-css": "^5.2.0",
+    "file-saver": "^2.0.5",
     "html-midi-player": "^1.5.0",
     "i18next": "^22.4.15",
+    "lodash-es": "^4.17.21",
     "mobx": "^6.9.0",
     "mobx-react-lite": "^3.4.3",
+    "pdfjs-dist": "^4.0.189",
     "react": "^18.2.0",
     "react-beautiful-dnd": "^13.1.1",
     "react-chartjs-2": "^5.2.0",
     "react-dom": "^18.2.0",
+    "react-draggable": "^4.4.6",
     "react-i18next": "^12.2.2",
     "react-markdown": "^8.0.7",
     "react-router": "^6.11.1",
@@ -38,6 +41,8 @@
     "uuid": "^9.0.0"
   },
   "devDependencies": {
+    "@types/file-saver": "^2.0.7",
+    "@types/lodash-es": "^4.17.12",
     "@types/react": "^18.2.6",
     "@types/react-beautiful-dnd": "^13.1.4",
     "@types/react-dom": "^18.2.4",
@@ -49,6 +54,7 @@
     "sass": "^1.62.1",
     "tailwindcss": "^3.3.2",
     "typescript": "^5.0.4",
-    "vite": "^4.3.6"
+    "vite": "^4.3.6",
+    "vite-plugin-top-level-await": "^1.3.1"
   }
 }

frontend/src/App.tsx

@@ -26,18 +26,22 @@
 import { FluentProvider, Tab, TabList, webDarkTheme, webLightTheme } from '@fluentui/react-components';
 import { FC, useEffect, useState } from 'react';
 import { Route, Routes, useLocation, useNavigate } from 'react-router';
-import { pages } from './pages';
+import { pages as clientPages } from './pages';
 import { useMediaQuery } from 'usehooks-ts';
 import commonStore from './stores/commonStore';
 import { observer } from 'mobx-react-lite';
 import { useTranslation } from 'react-i18next';
 import { CustomToastContainer } from './components/CustomToastContainer';
+import { LazyImportComponent } from './components/LazyImportComponent';
 
 const App: FC = observer(() => {
   const { t } = useTranslation();
   const navigate = useNavigate();
   const location = useLocation();
   const mq = useMediaQuery('(min-width: 640px)');
+  const pages = commonStore.platform === 'web' ? clientPages.filter(page =>
+    !['/configs', '/models', '/downloads', '/train', '/about'].some(path => page.path === path)
+  ) : clientPages;
 
   const [path, setPath] = useState<string>(pages[0].path);
 
@@ -47,10 +51,10 @@ const App: FC = observer(() => {
   useEffect(() => setPath(location.pathname), [location]);
 
   return (
-    <FluentProvider className="h-screen"
+    <FluentProvider
       theme={commonStore.settings.darkMode ? webDarkTheme : webLightTheme}
       data-theme={commonStore.settings.darkMode ? 'dark' : 'light'}>
-      <div className="flex h-full">
+      <div className="flex h-screen">
         <div className="flex flex-col w-16 sm:w-48 p-2 justify-between">
           <TabList
             size="large"
@@ -82,7 +86,7 @@ const App: FC = observer(() => {
         <div className="h-full w-full p-2 box-border overflow-y-hidden">
           <Routes>
             {pages.map(({ path, element }, index) => (
-              <Route key={`${path}-${index}`} path={path} element={element} />
+              <Route key={`${path}-${index}`} path={path} element={<LazyImportComponent lazyChildren={element} />} />
             ))}
           </Routes>
         </div>

frontend/src/_locales/ja/main.json

@@ -13,7 +13,7 @@
   "Working": "動作中",
   "Stop": "停止",
   "Enable High Precision For Last Layer": "最後の層で高精度を有効にする",
-  "Stored Layers": "メモリ層読み込み",
+  "Stored Layers": "保存されるレイヤー",
   "Precision": "精度",
   "Device": "デバイス",
   "Convert model with these configs. Using a converted model will greatly improve the loading speed, but model parameters of the converted model cannot be modified.": "これらの設定でモデルを変換します。変換されたモデルを使用すると、読み込み速度が大幅に向上しますが、変換したモデルのパラメータを変更することはできません。",
@@ -82,7 +82,7 @@
   "Just like feeding sedatives to the model. Consider the results of the top n% probability mass, 0.1 considers the top 10%, with higher quality but more conservative, 1 considers all results, with lower quality but more diverse.": "モデルに鎮静剤を与えるようなもの。上位n％の確率質量の結果を考えてみてください。0.1は上位10％を考えており、質が高いが保守的で、1は全ての結果を考慮しており、質は低いが多様性があります。",
   "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.": "ポジティヴ値は、新しいトークンが今までのテキストに出現していたかどうかに基づいてこれらをペナルティとし、新しいトピックについて話す可能性を増加させます。",
   "Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.": "ポジティブ値は、新しいトークンが既存のテキストでどれだけ頻繁に使われているかに基づいてペナルティを与え、モデルが同じ行を完全に繰り返す可能性を減らします。",
-  "int8 uses less VRAM, but has slightly lower quality. fp16 has higher quality, and fp32 has the best quality.": "int8はVRAMの使用量が少ないですが、質が若干低いです。fp16は高品質、fp32は最高品質です。",
+  "int8 uses less VRAM, but has slightly lower quality. fp16 has higher quality.": "int8はVRAMの使用量が少ないですが、質が若干低いです。fp16は高品質。",
   "Number of the neural network layers loaded into VRAM, the more you load, the faster the speed, but it consumes more VRAM. (If your VRAM is not enough, it will fail to load)": "VRAMにロードされるニューラルネットワークの層の数。ロードする量が多いほど速度は速くなりますが、VRAMを多く消費します。(VRAMが不足している場合、ロードに失敗します)",
   "Whether to use CPU to calculate the last output layer of the neural network with FP32 precision to obtain better quality.": "ネットワークの最終出力層をFP32精度で計算するためにCPUを使用するかどうか。",
   "Downloads": "ダウンロード",
@@ -128,7 +128,7 @@
   "Chinese Kongfu": "中国武術",
   "Allow external access to the API (service must be restarted)": "APIへの外部アクセスを許可する (サービスを再起動する必要があります)",
   "Custom": "カスタム",
-  "CUDA (Beta, Faster)": "CUDA (ベータ、高速)",
+  "CUDA (Beta, Faster)": "CUDA (Beta, 高速)",
   "Reset All Configs": "すべての設定をリセット",
   "Cancel": "キャンセル",
   "Confirm": "確認",
@@ -162,7 +162,7 @@
   "Memory is not enough, try to increase the virtual memory or use a smaller model.": "メモリが不足しています。仮想メモリを増やすか、もしくは小さなモデルを使ってみてください",
   "Bad PyTorch version, please reinstall PyTorch with cuda.": "不適切なPyTorchのバージョンです。cudaと共にPyTorchを再インストールしてください。",
   "The model file is corrupted, please download again.": "モデルファイルが破損しています。再度ダウンロードしてください。",
-  "Found no NVIDIA driver, please install the latest driver.": "NVIDIAのドライバが見つかりません。最新版のドライバをインストールしてください。",
+  "Found no NVIDIA driver, please install the latest driver. If you are not using an Nvidia GPU, please switch the 'Strategy' to WebGPU or CPU in the Configs page.": "NVIDIAのドライバが見つかりません。最新版のドライバをインストールしてください。NvidiaのGPUを使用していない場合は、設定ページで\"Strategy\"をWebGPUまたはCPUに切り替えてください。",
   "VRAM is not enough, please reduce stored layers or use a lower precision in Configs page.": "VRAMが足りません。設定ページで保存されているレイヤーを減らすか、精度を下げてください。",
   "Failed to enable custom CUDA kernel, ninja is required to load C++ extensions. You may be using the CPU version of PyTorch, please reinstall PyTorch with CUDA. Or if you are using a custom Python interpreter, you must compile the CUDA kernel by yourself or disable Custom CUDA kernel acceleration.": "カスタムCUDAカーネルの有効化に失敗しました。C++拡張を読み込むためにはNinjaが必要です。あなたは恐らくCPU版のPyTorchを使用しており、CUDA版のPyTorchを再インストールする必要があります。または、あなたがカスタムPythonインタプリタを使用している場合は、CUDAカーネルを自分でコンパイルするか、カスタムCUDAカーネルのアクセラレーションを無効にする必要があります。",
   "Presets": "プリセット",
@@ -229,7 +229,7 @@
   "Memory is not enough, try to increase the virtual memory (Swap of WSL) or use a smaller base model.": "メモリが不足しています、仮想メモリ (WSL Swap) を増やすか小さなベースモデルを使用してみてください。",
   "VRAM is not enough": "ビデオRAMが不足しています",
   "Training data is not enough, reduce context length or add more data for training": "トレーニングデータが不足しています、コンテキストの長さを減らすか、トレーニング用のデータをさらに追加してください",
-  "You are using WSL 1 for training, please upgrade to WSL 2. e.g. Run \"wsl --set-version Ubuntu-22.04 2\"": "トレーニングにWSL 1を使用しています、WSL 2にアップグレードしてください。例:\"wsl --set-version Ubuntu-22.04 2\"を実行する",
+  "Can not find an Nvidia GPU. Perhaps the gpu driver of windows is too old, or you are using WSL 1 for training, please upgrade to WSL 2. e.g. Run \"wsl --set-version Ubuntu-22.04 2\"": "Nvidia GPUが見つかりません。WindowsのGPUドライバが古すぎるか、トレーニングにWSL 1を使用している可能性があります。WSL 2にアップグレードしてください。例：\"wsl --set-version Ubuntu-22.04 2\"を実行してください",
   "Matched CUDA is not installed": "対応するCUDAがインストールされていません",
   "Failed to convert data": "データの変換に失敗しました",
   "Failed to merge model": "モデルのマージに失敗しました",
@@ -250,16 +250,78 @@
   "VRAM": "VRAM",
   "GPU Usage": "GPU使用率",
   "Use Custom Tokenizer": "カスタムトークナイザーを使用する",
-  "Tokenizer Path (e.g. backend-python/rwkv_pip/20B_tokenizer.json)": "トークナイザーパス (例: backend-python/rwkv_pip/20B_tokenizer.json)",
+  "Tokenizer Path (e.g. backend-python/rwkv_pip/20B_tokenizer.json or rwkv_vocab_v20230424.txt)": "トークナイザーパス (例: backend-python/rwkv_pip/20B_tokenizer.json または rwkv_vocab_v20230424.txt)",
   "User Name": "ユーザー名",
   "Assistant Name": "アシスタント名",
   "Insert default system prompt at the beginning": "最初にデフォルトのシステムプロンプトを挿入",
   "Format Content": "内容フォーマットの規格化",
   "Add An Attachment (Accepts pdf, txt)": "添付ファイルを追加 (pdf, txtを受け付けます)",
-  "Uploading Attachment": "添付ファイルアップロード中",
+  "Processing Attachment": "添付ファイルを処理中",
   "Remove Attachment": "添付ファイルを削除",
   "The content of file": "ファイル",
   "is as follows. When replying to me, consider the file content and respond accordingly:": "の内容は以下の通りです。私に返信する際は、ファイルの内容を考慮して適切に返信してください:",
   "What's the file name": "ファイル名は何ですか",
-  "The file name is: ": "ファイル名は次のとおりです: "
+  "The file name is: ": "ファイル名は次のとおりです: ",
+  "Port is occupied. Change it in Configs page or close the program that occupies the port.": "ポートが占有されています。設定ページで変更するか、ポートを占有しているプログラムを終了してください。",
+  "Loading...": "読み込み中...",
+  "Hello, what can I do for you?": "こんにちは、何かお手伝いできますか？",
+  "Enable WebUI": "WebUIを有効化",
+  "Server is working on deployment mode, please close the terminal window manually": "サーバーはデプロイモードで動作しています、ターミナルウィンドウを手動で閉じてください",
+  "Server is working on deployment mode, please exit the program manually to stop the server": "サーバーはデプロイモードで動作しています、サーバーを停止するにはプログラムを手動で終了してください",
+  "You can increase the number of stored layers in Configs page to improve performance": "パフォーマンスを向上させるために、保存されるレイヤーの数を設定ページで増やすことができます",
+  "Failed to load model, try to increase the virtual memory (Swap of WSL) or use a smaller base model.": "モデルの読み込みに失敗しました、仮想メモリ (WSL Swap) を増やすか小さなベースモデルを使用してみてください。",
+  "Save Conversation": "会話を保存",
+  "Use Hugging Face Mirror": "Hugging Faceミラーを使用",
+  "File is empty": "ファイルが空です",
+  "Open MIDI Input Audio Tracks": "MIDI入力オーディオトラックを開く",
+  "Track": "トラック",
+  "Play All": "すべて再生",
+  "Clear All": "すべてクリア",
+  "Scale View": "スケールビュー",
+  "Record": "録音",
+  "Play": "再生",
+  "New Track": "新規トラック",
+  "Select a track to preview the content": "トラックを選択して内容をプレビュー",
+  "Save to generation area": "生成エリアに保存",
+  "Piano": "ピアノ",
+  "Percussion": "パーカッション",
+  "Drum": "ドラム",
+  "Tuba": "チューバ",
+  "Marimba": "マリンバ",
+  "Bass": "ベース",
+  "Guitar": "ギター",
+  "Violin": "バイオリン",
+  "Trumpet": "トランペット",
+  "Sax": "サックス",
+  "Flute": "フルート",
+  "Lead": "リード",
+  "Pad": "パッド",
+  "MIDI Input": "MIDI入力",
+  "Select the MIDI input device to be used.": "使用するMIDI入力デバイスを選択します。",
+  "Start Time": "開始時間",
+  "Content Duration": "内容の長さ",
+  "Please select a MIDI device first": "まずMIDIデバイスを選択してください",
+  "Piano is the main instrument": "ピアノはメインの楽器です",
+  "Loss is too high, please check the training data, and ensure your gpu driver is up to date.": "Lossが大きすぎます、トレーニングデータを確認し、GPUドライバが最新であることを確認してください。",
+  "This version of RWKV is not supported yet.": "このバージョンのRWKVはまだサポートされていません。",
+  "Main": "メイン",
+  "Finetuned": "微調整",
+  "Global": "グローバル",
+  "Local": "ローカル",
+  "CN": "中国語",
+  "JP": "日本語",
+  "Music": "音楽",
+  "Other": "その他",
+  "Role Play": "ロールプレイ",
+  "Recommended": "おすすめ",
+  "Import MIDI": "MIDIをインポート",
+  "Current Instrument": "現在の楽器",
+  "Please convert model to GGML format first": "モデルをGGML形式に変換してください",
+  "Convert To GGML Format": "GGML形式に変換",
+  "CPU (rwkv.cpp, Faster)": "CPU (rwkv.cpp, 高速)",
+  "Play With External Player": "外部プレーヤーで再生",
+  "Core API URL": "コアAPI URL",
+  "Override core API URL(/chat/completions and /completions). If you don't know what this is, leave it blank.": "コアAPI URLを上書きします(/chat/completions と /completions)。何であるかわからない場合は空白のままにしてください。",
+  "Please change Strategy to CPU (rwkv.cpp) to use ggml format": "StrategyをCPU (rwkv.cpp)に変更して、ggml形式を使用してください",
+  "Only Auto Play Generated Content": "生成されたコンテンツのみ自動再生"
 }

frontend/src/_locales/zh-hans/main.json

@@ -82,7 +82,7 @@
   "Just like feeding sedatives to the model. Consider the results of the top n% probability mass, 0.1 considers the top 10%, with higher quality but more conservative, 1 considers all results, with lower quality but more diverse.": "就像给模型喂镇静剂. 考虑前 n% 概率质量的结果, 0.1 考虑前 10%, 质量更高, 但更保守, 1 考虑所有质量结果, 质量降低, 但更多样",
   "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.": "存在惩罚. 正值根据新token在至今的文本中是否出现过, 来对其进行惩罚, 从而增加了模型涉及新话题的可能性",
   "Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.": "频率惩罚. 正值根据新token在至今的文本中出现的频率/次数, 来对其进行惩罚, 从而减少模型原封不动地重复相同句子的可能性",
-  "int8 uses less VRAM, but has slightly lower quality. fp16 has higher quality, and fp32 has the best quality.": "int8占用显存更低, 但质量略微下降. fp16质量更好, fp32质量最好",
+  "int8 uses less VRAM, but has slightly lower quality. fp16 has higher quality.": "int8占用显存更低, 但质量略微下降. fp16质量更好",
   "Number of the neural network layers loaded into VRAM, the more you load, the faster the speed, but it consumes more VRAM. (If your VRAM is not enough, it will fail to load)": "载入显存的神经网络层数, 载入越多, 速度越快, 但显存消耗越大 (如果你的显存不够, 会载入失败)",
   "Whether to use CPU to calculate the last output layer of the neural network with FP32 precision to obtain better quality.": "是否使用cpu以fp32精度计算神经网络的最后一层输出层, 以获得更好的质量",
   "Downloads": "下载",
@@ -162,7 +162,7 @@
   "Memory is not enough, try to increase the virtual memory or use a smaller model.": "内存不足，尝试增加虚拟内存，或使用一个更小规模的模型",
   "Bad PyTorch version, please reinstall PyTorch with cuda.": "错误的PyTorch版本，请重新安装CUDA版本的PyTorch",
   "The model file is corrupted, please download again.": "模型文件损坏，请重新下载",
-  "Found no NVIDIA driver, please install the latest driver.": "没有找到NVIDIA驱动，请安装最新驱动",
+  "Found no NVIDIA driver, please install the latest driver. If you are not using an Nvidia GPU, please switch the 'Strategy' to WebGPU or CPU in the Configs page.": "没有找到NVIDIA驱动，请安装最新驱动。如果你没有使用Nvidia显卡，请在配置页面将“Strategy”改为WebGPU或CPU",
   "VRAM is not enough, please reduce stored layers or use a lower precision in Configs page.": "显存不足，请在配置页面减少载入显存层数，或使用更低的精度",
   "Failed to enable custom CUDA kernel, ninja is required to load C++ extensions. You may be using the CPU version of PyTorch, please reinstall PyTorch with CUDA. Or if you are using a custom Python interpreter, you must compile the CUDA kernel by yourself or disable Custom CUDA kernel acceleration.": "自定义CUDA算子开启失败，需要安装Ninja来读取C++扩展。你可能正在使用CPU版本的PyTorch，请重新安装CUDA版本的PyTorch。如果你正在使用自定义Python解释器，你必须自己编译CUDA算子或禁用自定义CUDA算子加速",
   "Presets": "预设",
@@ -229,7 +229,7 @@
   "Memory is not enough, try to increase the virtual memory (Swap of WSL) or use a smaller base model.": "内存不足，尝试增加虚拟内存(WSL Swap)，或使用一个更小规模的基底模型",
   "VRAM is not enough": "显存不足",
   "Training data is not enough, reduce context length or add more data for training": "训练数据不足，请减小上下文长度或增加训练数据",
-  "You are using WSL 1 for training, please upgrade to WSL 2. e.g. Run \"wsl --set-version Ubuntu-22.04 2\"": "你正在使用WSL 1进行训练，请升级到WSL 2。例如，运行\"wsl --set-version Ubuntu-22.04 2\"",
+  "Can not find an Nvidia GPU. Perhaps the gpu driver of windows is too old, or you are using WSL 1 for training, please upgrade to WSL 2. e.g. Run \"wsl --set-version Ubuntu-22.04 2\"": "没有找到Nvidia显卡。可能是因为你的windows显卡驱动太旧，或者你正在使用WSL 1进行训练，请升级到WSL 2。例如，执行\"wsl --set-version Ubuntu-22.04 2\"",
   "Matched CUDA is not installed": "未安装匹配的CUDA",
   "Failed to convert data": "数据转换失败",
   "Failed to merge model": "合并模型失败",
@@ -250,16 +250,78 @@
   "VRAM": "显存",
   "GPU Usage": "GPU占用",
   "Use Custom Tokenizer": "使用自定义Tokenizer",
-  "Tokenizer Path (e.g. backend-python/rwkv_pip/20B_tokenizer.json)": "Tokenizer路径 (例如: backend-python/rwkv_pip/20B_tokenizer.json)",
+  "Tokenizer Path (e.g. backend-python/rwkv_pip/20B_tokenizer.json or rwkv_vocab_v20230424.txt)": "Tokenizer路径 (例如: backend-python/rwkv_pip/20B_tokenizer.json 或 rwkv_vocab_v20230424.txt)",
   "User Name": "用户名称",
   "Assistant Name": "AI名称",
   "Insert default system prompt at the beginning": "在开头自动插入默认系统提示",
   "Format Content": "规范格式",
   "Add An Attachment (Accepts pdf, txt)": "添加一个附件 (支持pdf, txt)",
-  "Uploading Attachment": "正在上传附件",
+  "Processing Attachment": "正在处理附件",
   "Remove Attachment": "移除附件",
   "The content of file": "文件",
   "is as follows. When replying to me, consider the file content and respond accordingly:": "内容如下。回复时考虑文件内容并做出相应回复:",
   "What's the file name": "文件名是什么",
-  "The file name is: ": "文件名是："
+  "The file name is: ": "文件名是：",
+  "Port is occupied. Change it in Configs page or close the program that occupies the port.": "端口被占用。请在配置页面更改端口，或关闭占用端口的程序",
+  "Loading...": "加载中...",
+  "Hello, what can I do for you?": "你好，有什么要我帮忙的吗？",
+  "Enable WebUI": "启用WebUI",
+  "Server is working on deployment mode, please close the terminal window manually": "服务器正在部署模式下运行，请手动关闭终端窗口",
+  "Server is working on deployment mode, please exit the program manually to stop the server": "服务器正在部署模式下运行，请手动退出程序以停止服务器",
+  "You can increase the number of stored layers in Configs page to improve performance": "你可以在配置页面增加载入显存层数以提升性能",
+  "Failed to load model, try to increase the virtual memory (Swap of WSL) or use a smaller base model.": "模型载入失败，尝试增加虚拟内存(WSL Swap)，或使用一个更小规模的基底模型",
+  "Save Conversation": "保存对话",
+  "Use Hugging Face Mirror": "使用Hugging Face镜像源",
+  "File is empty": "文件为空",
+  "Open MIDI Input Audio Tracks": "打开MIDI输入音轨",
+  "Track": "音轨",
+  "Play All": "播放全部",
+  "Clear All": "清空",
+  "Scale View": "缩放视图",
+  "Record": "录制",
+  "Play": "播放",
+  "New Track": "新建音轨",
+  "Select a track to preview the content": "选择一个音轨以预览内容",
+  "Save to generation area": "保存到生成区",
+  "Piano": "钢琴",
+  "Percussion": "打击乐",
+  "Drum": "鼓",
+  "Tuba": "大号",
+  "Marimba": "马林巴",
+  "Bass": "贝斯",
+  "Guitar": "吉他",
+  "Violin": "小提琴",
+  "Trumpet": "小号",
+  "Sax": "萨克斯",
+  "Flute": "长笛",
+  "Lead": "主音",
+  "Pad": "和音",
+  "MIDI Input": "MIDI输入",
+  "Select the MIDI input device to be used.": "选择要使用的MIDI输入设备",
+  "Start Time": "开始时间",
+  "Content Duration": "内容时长",
+  "Please select a MIDI device first": "请先选择一个MIDI设备",
+  "Piano is the main instrument": "钢琴为主",
+  "Loss is too high, please check the training data, and ensure your gpu driver is up to date.": "Loss过高，请检查训练数据，并确保你的显卡驱动是最新的",
+  "This version of RWKV is not supported yet.": "暂不支持此版本的RWKV",
+  "Main": "主干",
+  "Finetuned": "微调",
+  "Global": "全球",
+  "Local": "本地",
+  "CN": "中文",
+  "JP": "日文",
+  "Music": "音乐",
+  "Other": "其他",
+  "Role Play": "角色扮演",
+  "Recommended": "推荐",
+  "Import MIDI": "导入MIDI",
+  "Current Instrument": "当前乐器",
+  "Please convert model to GGML format first": "请先将模型转换为GGML格式",
+  "Convert To GGML Format": "转换为GGML格式",
+  "CPU (rwkv.cpp, Faster)": "CPU (rwkv.cpp, 更快)",
+  "Play With External Player": "使用外部播放器播放",
+  "Core API URL": "核心 API URL",
+  "Override core API URL(/chat/completions and /completions). If you don't know what this is, leave it blank.": "覆盖核心的 API URL (/chat/completions 和 /completions)。如果你不知道这是什么，请留空",
+  "Please change Strategy to CPU (rwkv.cpp) to use ggml format": "请将Strategy改为CPU (rwkv.cpp)以使用ggml格式",
+  "Only Auto Play Generated Content": "仅自动播放新生成的内容"
 }

frontend/src/components/ConfigSelector.tsx

@@ -1,10 +1,10 @@
 import { FC } from 'react';
 import { observer } from 'mobx-react-lite';
-import { Dropdown, Option } from '@fluentui/react-components';
+import { Dropdown, Option, PresenceBadge } from '@fluentui/react-components';
 import commonStore from '../stores/commonStore';
 
 export const ConfigSelector: FC<{ size?: 'small' | 'medium' | 'large' }> = observer(({ size }) => {
-  return <Dropdown size={size} style={{ minWidth: 0 }} listbox={{ style: { minWidth: 0 } }}
+  return <Dropdown size={size} style={{ minWidth: 0 }} listbox={{ style: { minWidth: 'fit-content' } }}
     value={commonStore.getCurrentModelConfig().name}
     selectedOptions={[commonStore.currentModelConfigIndex.toString()]}
     onOptionSelect={(_, data) => {
@@ -12,7 +12,13 @@ export const ConfigSelector: FC<{ size?: 'small' | 'medium' | 'large' }> = obser
         commonStore.setCurrentConfigIndex(Number(data.optionValue));
     }}>
     {commonStore.modelConfigs.map((config, index) =>
-      <Option key={index} value={index.toString()}>{config.name}</Option>
+      <Option key={index} value={index.toString()} text={config.name}>
+        <div className="flex justify-between grow">
+          {config.name}
+          {commonStore.modelSourceList.find(item => item.name === config.modelParameters.modelName)?.isComplete
+            && <PresenceBadge status="available" />}
+        </div>
+      </Option>
     )}
   </Dropdown>;
 });

frontend/src/components/DialogButton.tsx

@@ -1,4 +1,4 @@
-import { FC, ReactElement } from 'react';
+import React, { FC, ReactElement } from 'react';
 import {
   Button,
   Dialog,
@@ -11,7 +11,9 @@ import {
 } from '@fluentui/react-components';
 import { ToolTipButton } from './ToolTipButton';
 import { useTranslation } from 'react-i18next';
-import MarkdownRender from './MarkdownRender';
+import { LazyImportComponent } from './LazyImportComponent';
+
+const MarkdownRender = React.lazy(() => import('./MarkdownRender'));
 
 export const DialogButton: FC<{
   text?: string | null
@@ -45,7 +47,9 @@ export const DialogButton: FC<{
         <DialogContent>
           {
             markdown ?
-              <MarkdownRender>{contentText}</MarkdownRender> :
+              <LazyImportComponent lazyChildren={MarkdownRender}>
+                {contentText}
+              </LazyImportComponent> :
               contentText
           }
         </DialogContent>

frontend/src/components/LazyImportComponent.tsx

@@ -0,0 +1,24 @@
+import { FC, LazyExoticComponent, ReactNode, Suspense } from 'react';
+import { useTranslation } from 'react-i18next';
+import { Spinner } from '@fluentui/react-components';
+
+interface LazyImportComponentProps {
+  lazyChildren: LazyExoticComponent<FC<any>>;
+  lazyProps?: any;
+  children?: ReactNode;
+}
+
+export const LazyImportComponent: FC<LazyImportComponentProps> = (props) => {
+  const { t } = useTranslation();
+
+  return (
+    <Suspense fallback={
+      <div className="flex justify-center items-center h-full w-full">
+        <Spinner size="huge" label={t('Loading...')} />
+      </div>}>
+      <props.lazyChildren {...props.lazyProps}>
+        {props.children}
+      </props.lazyChildren>
+    </Suspense>
+  );
+};

frontend/src/components/MarkdownRender.tsx

@@ -21,7 +21,7 @@ const Hyperlink: FC<any> = ({ href, children }) => {
   );
 };
 
-export const MarkdownRender: FC<ReactMarkdownOptions> = (props) => {
+const MarkdownRender: FC<ReactMarkdownOptions> = (props) => {
   return (
     <div dir="auto" className="markdown-body">
       <ReactMarkdown

frontend/src/components/ReadButton.tsx

@@ -40,6 +40,8 @@ export const ReadButton: FC<{
       voice = voices.find((v) => v.name.toLowerCase().includes('microsoft aria'));
     else if (lang === 'zh')
       voice = voices.find((v) => v.name.toLowerCase().includes('xiaoyi'));
+    else if (lang === 'ja')
+      voice = voices.find((v) => v.name.toLowerCase().includes('nanami'));
     if (!voice) voice = voices.find((v) => v.lang.substring(0, 2) === lang);
     if (!voice) voice = voices.find((v) => v.lang === navigator.language);
 

frontend/src/components/RunButton.tsx

@@ -1,16 +1,24 @@
 import React, { FC, MouseEventHandler, ReactElement } from 'react';
 import commonStore, { ModelStatus } from '../stores/commonStore';
-import { AddToDownloadList, FileExists, StartServer, StartWebGPUServer } from '../../wailsjs/go/backend_golang/App';
+import {
+  AddToDownloadList,
+  FileExists,
+  IsPortAvailable,
+  StartServer,
+  StartWebGPUServer
+} from '../../wailsjs/go/backend_golang/App';
 import { Button } from '@fluentui/react-components';
 import { observer } from 'mobx-react-lite';
 import { exit, getStatus, readRoot, switchModel, updateConfig } from '../apis';
 import { toast } from 'react-toastify';
-import { checkDependencies, getStrategy, toastWithButton } from '../utils';
+import { checkDependencies, getHfDownloadUrl, getStrategy, toastWithButton } from '../utils';
 import { useTranslation } from 'react-i18next';
 import { ToolTipButton } from './ToolTipButton';
 import { Play16Regular, Stop16Regular } from '@fluentui/react-icons';
 import { useNavigate } from 'react-router';
-import { WindowShow } from '../../wailsjs/runtime/runtime';
+import { WindowShow } from '../../wailsjs/runtime';
+import { convertToGGML, convertToSt } from '../utils/convert-model';
+import { Precision } from '../types/configs';
 
 const mainButtonText = {
   [ModelStatus.Offline]: 'Run',
@@ -40,6 +48,8 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
 
       const modelConfig = commonStore.getCurrentModelConfig();
       const webgpu = modelConfig.modelParameters.device === 'WebGPU';
+      const webgpuPython = modelConfig.modelParameters.device === 'WebGPU (Python)';
+      const cpp = modelConfig.modelParameters.device === 'CPU (rwkv.cpp)';
       let modelName = '';
       let modelPath = '';
       if (modelConfig && modelConfig.modelParameters) {
@@ -51,20 +61,47 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
         return;
       }
 
-      if (webgpu) {
+      const currentModelSource = commonStore.modelSourceList.find(item => item.name === modelName);
+
+      const showDownloadPrompt = (promptInfo: string, downloadName: string) => {
+        toastWithButton(promptInfo, t('Download'), () => {
+          const downloadUrl = currentModelSource?.downloadUrl;
+          if (downloadUrl) {
+            toastWithButton(`${t('Downloading')} ${downloadName}`, t('Check'), () => {
+                navigate({ pathname: '/downloads' });
+              },
+              { autoClose: 3000 });
+            AddToDownloadList(modelPath, getHfDownloadUrl(downloadUrl));
+          } else {
+            toast(t('Can not find download url'), { type: 'error' });
+          }
+        });
+      };
+
+      if (webgpu || webgpuPython) {
         if (!['.st', '.safetensors'].some(ext => modelPath.endsWith(ext))) {
           const stModelPath = modelPath.replace(/\.pth$/, '.st');
           if (await FileExists(stModelPath)) {
             modelPath = stModelPath;
+          } else if (!await FileExists(modelPath)) {
+            showDownloadPrompt(t('Model file not found'), modelName);
+            commonStore.setStatus({ status: ModelStatus.Offline });
+            return;
+          } else if (!currentModelSource?.isComplete) {
+            showDownloadPrompt(t('Model file download is not complete'), modelName);
+            commonStore.setStatus({ status: ModelStatus.Offline });
+            return;
           } else {
-            toast(t('Please convert model to safe tensors format first'), { type: 'error' });
+            toastWithButton(t('Please convert model to safe tensors format first'), t('Convert'), () => {
+              convertToSt(modelConfig, navigate);
+            });
             commonStore.setStatus({ status: ModelStatus.Offline });
             return;
           }
         }
       }
 
-      if (!webgpu) {
+      if (!webgpu && !webgpuPython) {
         if (['.st', '.safetensors'].some(ext => modelPath.endsWith(ext))) {
           toast(t('Please change Strategy to WebGPU to use safetensors format'), { type: 'error' });
           commonStore.setStatus({ status: ModelStatus.Offline });
@@ -78,28 +115,45 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
           return;
       }
 
-      const currentModelSource = commonStore.modelSourceList.find(item => item.name === modelName);
-
-      const showDownloadPrompt = (promptInfo: string, downloadName: string) => {
-        toastWithButton(promptInfo, t('Download'), () => {
-          const downloadUrl = currentModelSource?.downloadUrl;
-          if (downloadUrl) {
-            toastWithButton(`${t('Downloading')} ${downloadName}`, t('Check'), () => {
-                navigate({ pathname: '/downloads' });
-              },
-              { autoClose: 3000 });
-            AddToDownloadList(modelPath, downloadUrl);
+      if (cpp) {
+        if (!['.bin'].some(ext => modelPath.endsWith(ext))) {
+          const precision: Precision = modelConfig.modelParameters.precision === 'Q5_1' ? 'Q5_1' : 'fp16';
+          const ggmlModelPath = modelPath.replace(/\.pth$/, `-${precision}.bin`);
+          if (await FileExists(ggmlModelPath)) {
+            modelPath = ggmlModelPath;
+          } else if (!await FileExists(modelPath)) {
+            showDownloadPrompt(t('Model file not found'), modelName);
+            commonStore.setStatus({ status: ModelStatus.Offline });
+            return;
+          } else if (!currentModelSource?.isComplete) {
+            showDownloadPrompt(t('Model file download is not complete'), modelName);
+            commonStore.setStatus({ status: ModelStatus.Offline });
+            return;
           } else {
-            toast(t('Can not find download url'), { type: 'error' });
+            toastWithButton(t('Please convert model to GGML format first'), t('Convert'), () => {
+              convertToGGML(modelConfig, navigate);
+            });
+            commonStore.setStatus({ status: ModelStatus.Offline });
+            return;
           }
-        });
-      };
+        }
+      }
+
+      if (!cpp) {
+        if (['.bin'].some(ext => modelPath.endsWith(ext))) {
+          toast(t('Please change Strategy to CPU (rwkv.cpp) to use ggml format'), { type: 'error' });
+          commonStore.setStatus({ status: ModelStatus.Offline });
+          return;
+        }
+      }
 
       if (!await FileExists(modelPath)) {
         showDownloadPrompt(t('Model file not found'), modelName);
         commonStore.setStatus({ status: ModelStatus.Offline });
         return;
-      } else if (!currentModelSource?.isComplete) {
+      } else // If the user selects the .pth model with WebGPU mode, modelPath will be set to the .st model.
+        // However, if the .pth model is deleted, modelPath will exist and isComplete will be false.
+      if (!currentModelSource?.isComplete && modelPath.endsWith('.pth')) {
         showDownloadPrompt(t('Model file download is not complete'), modelName);
         commonStore.setStatus({ status: ModelStatus.Offline });
         return;
@@ -107,8 +161,15 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
 
       const port = modelConfig.apiParameters.apiPort;
 
-      await exit(1000).catch(() => {
-      });
+      if (!await IsPortAvailable(port)) {
+        await exit(1000).catch(() => {
+        });
+        if (!await IsPortAvailable(port)) {
+          toast(t('Port is occupied. Change it in Configs page or close the program that occupies the port.'), { type: 'error' });
+          commonStore.setStatus({ status: ModelStatus.Offline });
+          return;
+        }
+      }
 
       const startServer = webgpu ?
         (_: string, port: number, host: string) => StartWebGPUServer(port, host)
@@ -116,7 +177,7 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
       const isUsingCudaBeta = modelConfig.modelParameters.device === 'CUDA-Beta';
 
       startServer(commonStore.settings.customPythonPath, port, commonStore.settings.host !== '127.0.0.1' ? '0.0.0.0' : '127.0.0.1',
-        isUsingCudaBeta
+        !!modelConfig.enableWebUI, isUsingCudaBeta, cpp, webgpuPython
       ).catch((e) => {
         const errMsg = e.message || e;
         if (errMsg.includes('path contains space'))
@@ -125,6 +186,8 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
           toast(t('Error') + ' - ' + errMsg, { type: 'error' });
       });
       setTimeout(WindowShow, 1000);
+      setTimeout(WindowShow, 2000);
+      setTimeout(WindowShow, 3000);
 
       let timeoutCount = 6;
       let loading = false;
@@ -141,7 +204,7 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
               });
             }
             commonStore.setStatus({ status: ModelStatus.Loading });
-            toast(t('Loading Model'), { type: 'info' });
+            const loadingId = toast(t('Loading Model'), { type: 'info', autoClose: false });
             if (!webgpu) {
               updateConfig({
                 max_tokens: modelConfig.apiParameters.maxResponseToken,
@@ -154,8 +217,9 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
 
             const strategy = getStrategy(modelConfig);
             let customCudaFile = '';
-            if ((modelConfig.modelParameters.device.includes('CUDA') || modelConfig.modelParameters.device === 'Custom')
-              && modelConfig.modelParameters.useCustomCuda && !strategy.includes('fp32')) {
+            if ((modelConfig.modelParameters.device.startsWith('CUDA') || modelConfig.modelParameters.device === 'Custom')
+              && modelConfig.modelParameters.useCustomCuda
+              && !strategy.split('->').some(s => ['cuda', 'fp32'].every(v => s.includes(v)))) {
               if (commonStore.platform === 'windows') {
                 // this part is currently unused because there's no longer a need to use different kernels for different GPUs, but it might still be needed in the future
                 //
@@ -186,7 +250,8 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
               model: modelPath,
               strategy: strategy,
               tokenizer: modelConfig.modelParameters.useCustomTokenizer ? modelConfig.modelParameters.customTokenizer : undefined,
-              customCuda: customCudaFile !== ''
+              customCuda: customCudaFile !== '',
+              deploy: modelConfig.enableWebUI
             }).then(async (r) => {
               if (r.ok) {
                 commonStore.setStatus({ status: ModelStatus.Working });
@@ -199,6 +264,12 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
                 const buttonFn = () => {
                   navigate({ pathname: '/' + buttonName.toLowerCase() });
                 };
+
+                if (modelConfig.modelParameters.device.startsWith('CUDA') &&
+                  modelConfig.modelParameters.storedLayers < modelConfig.modelParameters.maxStoredLayers &&
+                  commonStore.monitorData && commonStore.monitorData.totalVram !== 0 &&
+                  (commonStore.monitorData.usedVram / commonStore.monitorData.totalVram) < 0.9)
+                  toast(t('You can increase the number of stored layers in Configs page to improve performance'), { type: 'info' });
                 toastWithButton(t('Startup Completed'), t(buttonName), buttonFn, { type: 'success', autoClose: 3000 });
               } else if (r.status === 304) {
                 toast(t('Loading Model'), { type: 'info' });
@@ -209,9 +280,9 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
                   'not enough memory': 'Memory is not enough, try to increase the virtual memory or use a smaller model.',
                   'not compiled with CUDA': 'Bad PyTorch version, please reinstall PyTorch with cuda.',
                   'invalid header or archive is corrupted': 'The model file is corrupted, please download again.',
-                  'no NVIDIA driver': 'Found no NVIDIA driver, please install the latest driver.',
+                  'no NVIDIA driver': 'Found no NVIDIA driver, please install the latest driver. If you are not using an Nvidia GPU, please switch the \'Strategy\' to WebGPU or CPU in the Configs page.',
                   'CUDA out of memory': 'VRAM is not enough, please reduce stored layers or use a lower precision in Configs page.',
-                  'Ninja is required to load C++ extensions': 'Failed to enable custom CUDA kernel, ninja is required to load C++ extensions. You may be using the CPU version of PyTorch, please reinstall PyTorch with CUDA. Or if you are using a custom Python interpreter, you must compile the CUDA kernel by yourself or disable Custom CUDA kernel acceleration.',
+                  'Ninja is required to load C++ extensions': 'Failed to enable custom CUDA kernel, ninja is required to load C++ extensions. You may be using the CPU version of PyTorch, please reinstall PyTorch with CUDA. Or if you are using a custom Python interpreter, you must compile the CUDA kernel by yourself or disable Custom CUDA kernel acceleration.'
                 };
                 const matchedError = Object.entries(errorsMap).find(([key, _]) => error.includes(key));
                 const message = matchedError ? t(matchedError[1]) : error;
@@ -220,6 +291,8 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
             }).catch((e) => {
               commonStore.setStatus({ status: ModelStatus.Offline });
               toast(t('Failed to switch model') + ' - ' + (e.message || e), { type: 'error' });
+            }).finally(() => {
+              toast.dismiss(loadingId);
             });
           }
         }).catch(() => {
@@ -233,7 +306,13 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
       }, 1000);
     } else {
       commonStore.setStatus({ status: ModelStatus.Offline });
-      exit();
+      exit().then(r => {
+        if (r.status === 403)
+          if (commonStore.platform !== 'linux')
+            toast(t('Server is working on deployment mode, please close the terminal window manually'), { type: 'info' });
+          else
+            toast(t('Server is working on deployment mode, please exit the program manually to stop the server'), { type: 'info' });
+      });
     }
   };
 

frontend/src/components/WorkHeader.tsx

@@ -6,6 +6,7 @@ import { ConfigSelector } from './ConfigSelector';
 import { RunButton } from './RunButton';
 import { PresenceBadgeStatus } from '@fluentui/react-badge';
 import { useTranslation } from 'react-i18next';
+import { useMediaQuery } from 'usehooks-ts';
 
 const statusText = {
   [ModelStatus.Offline]: 'Offline',
@@ -23,15 +24,21 @@ const badgeStatus: { [modelStatus: number]: PresenceBadgeStatus } = {
 
 export const WorkHeader: FC = observer(() => {
   const { t } = useTranslation();
+  const mq = useMediaQuery('(min-width: 640px)');
   const port = commonStore.getCurrentModelConfig().apiParameters.apiPort;
 
-  return (
+  return commonStore.platform === 'web' ?
+    <div /> :
     <div className="flex flex-col gap-1">
       <div className="flex justify-between items-center">
         <div className="flex items-center gap-2">
           <PresenceBadge status={badgeStatus[commonStore.status.status]} />
           <Text size={100}>{t('Model Status') + ': ' + t(statusText[commonStore.status.status])}</Text>
         </div>
+        {commonStore.lastModelName && mq &&
+          <Text size={100}>
+            {commonStore.lastModelName}
+          </Text>}
         <div className="flex items-center gap-2">
           <ConfigSelector size="small" />
           <RunButton iconMode />
@@ -42,5 +49,5 @@ export const WorkHeader: FC = observer(() => {
       </Text>
       <Divider style={{ flexGrow: 0 }} />
     </div>
-  );
+    ;
 });

frontend/src/main.tsx

@@ -1,3 +1,4 @@
+import './webWails';
 import React from 'react';
 import { createRoot } from 'react-dom/client';
 import './style.scss';
@@ -6,7 +7,6 @@ import App from './App';
 import { HashRouter } from 'react-router-dom';
 import { startup } from './startup';
 import './_locales/i18n-react';
-import 'html-midi-player';
 import { WindowShow } from '../wailsjs/runtime';
 
 startup().then(() => {

frontend/src/pages/About.tsx

@@ -5,9 +5,7 @@ import MarkdownRender from '../components/MarkdownRender';
 import { observer } from 'mobx-react-lite';
 import commonStore from '../stores/commonStore';
 
-export type AboutContent = { [lang: string]: string }
-
-export const About: FC = observer(() => {
+const About: FC = observer(() => {
   const { t } = useTranslation();
   const lang: string = commonStore.settings.language;
 
@@ -21,3 +19,5 @@ export const About: FC = observer(() => {
     } />
   );
 });
+
+export default About;

frontend/src/pages/AudiotrackManager/AudiotrackButton.tsx

@@ -0,0 +1,40 @@
+import React, { FC, lazy } from 'react';
+import { useTranslation } from 'react-i18next';
+import { Button, Dialog, DialogBody, DialogContent, DialogSurface, DialogTrigger } from '@fluentui/react-components';
+import { CustomToastContainer } from '../../components/CustomToastContainer';
+import { LazyImportComponent } from '../../components/LazyImportComponent';
+import { flushMidiRecordingContent } from '../../utils';
+import commonStore from '../../stores/commonStore';
+
+const AudiotrackEditor = lazy(() => import('./AudiotrackEditor'));
+
+export const AudiotrackButton: FC<{
+  size?: 'small' | 'medium' | 'large',
+  shape?: 'rounded' | 'circular' | 'square';
+  appearance?: 'secondary' | 'primary' | 'outline' | 'subtle' | 'transparent';
+  setPrompt: (prompt: string) => void;
+}> = ({ size, shape, appearance, setPrompt }) => {
+  const { t } = useTranslation();
+
+  return <Dialog onOpenChange={(e, data) => {
+    if (!data.open) {
+      flushMidiRecordingContent();
+      commonStore.setRecordingTrackId('');
+      commonStore.setPlayingTrackId('');
+    }
+  }}>
+    <DialogTrigger disableButtonEnhancement>
+      <Button size={size} shape={shape} appearance={appearance}>
+        {t('Open MIDI Input Audio Tracks')}
+      </Button>
+    </DialogTrigger>
+    <DialogSurface style={{ paddingTop: 0, maxWidth: '90vw', width: 'fit-content' }}>
+      <DialogBody>
+        <DialogContent className="overflow-hidden">
+          <CustomToastContainer />
+          <LazyImportComponent lazyChildren={AudiotrackEditor} lazyProps={{ setPrompt }} />
+        </DialogContent>
+      </DialogBody>
+    </DialogSurface>
+  </Dialog>;
+};

frontend/src/pages/AudiotrackManager/AudiotrackEditor.tsx

@@ -0,0 +1,601 @@
+import React, { FC, useEffect, useRef, useState } from 'react';
+import { observer } from 'mobx-react-lite';
+import { useTranslation } from 'react-i18next';
+import Draggable from 'react-draggable';
+import { ToolTipButton } from '../../components/ToolTipButton';
+import { v4 as uuid } from 'uuid';
+import {
+  Add16Regular,
+  ArrowAutofitWidth20Regular,
+  ArrowUpload16Regular,
+  Delete16Regular,
+  MusicNote220Regular,
+  Pause16Regular,
+  Play16Filled,
+  Play16Regular,
+  Record16Regular,
+  Stop16Filled
+} from '@fluentui/react-icons';
+import { Button, Card, DialogTrigger, Slider, Text, Tooltip } from '@fluentui/react-components';
+import { useWindowSize } from 'usehooks-ts';
+import commonStore, { ModelStatus } from '../../stores/commonStore';
+import classnames from 'classnames';
+import {
+  InstrumentType,
+  InstrumentTypeNameMap,
+  InstrumentTypeTokenMap,
+  MidiMessage,
+  tracksMinimalTotalTime
+} from '../../types/composition';
+import { toast } from 'react-toastify';
+import {
+  absPathAsset,
+  flushMidiRecordingContent,
+  getMidiRawContentMainInstrument,
+  getMidiRawContentTime,
+  getServerRoot,
+  refreshTracksTotalTime
+} from '../../utils';
+import { OpenOpenFileDialog, PlayNote } from '../../../wailsjs/go/backend_golang/App';
+
+const snapValue = 25;
+const minimalMoveTime = 8; // 1000/125=8ms wait_events=125
+const scaleMin = 0.05;
+const scaleMax = 3;
+const baseMoveTime = Math.round(minimalMoveTime / scaleMin);
+
+const velocityEvents = 128;
+const velocityBins = 12;
+const velocityExp = 0.5;
+
+const minimalTrackWidth = 80;
+const trackInitOffsetPx = 10;
+const pixelFix = 0.5;
+const topToArrowIcon = 19;
+const arrowIconToTracks = 23;
+
+const velocityToBin = (velocity: number) => {
+  velocity = Math.max(0, Math.min(velocity, velocityEvents - 1));
+  const binsize = velocityEvents / (velocityBins - 1);
+  return Math.ceil((velocityEvents * ((Math.pow(velocityExp, (velocity / velocityEvents)) - 1.0) / (velocityExp - 1.0))) / binsize);
+};
+
+const binToVelocity = (bin: number) => {
+  const binsize = velocityEvents / (velocityBins - 1);
+  return Math.max(0, Math.ceil(velocityEvents * (Math.log(((velocityExp - 1) * binsize * bin) / velocityEvents + 1) / Math.log(velocityExp)) - 1));
+};
+
+const tokenToMidiMessage = (token: string): MidiMessage | null => {
+  if (token.startsWith('<')) return null;
+  if (token.startsWith('t') && !token.startsWith('t:')) {
+    return {
+      messageType: 'ElapsedTime',
+      value: parseInt(token.substring(1)) * minimalMoveTime,
+      channel: 0,
+      note: 0,
+      velocity: 0,
+      control: 0,
+      instrument: 0
+    };
+  }
+  const instrument: InstrumentType = InstrumentTypeTokenMap.findIndex(t => token.startsWith(t + ':'));
+  if (instrument >= 0) {
+    const parts = token.split(':');
+    if (parts.length !== 3) return null;
+    const note = parseInt(parts[1], 16);
+    const velocity = parseInt(parts[2], 16);
+    if (velocity < 0 || velocity > 127) return null;
+    if (velocity === 0) return {
+      messageType: 'NoteOff',
+      note: note,
+      instrument: instrument,
+      channel: 0,
+      velocity: 0,
+      control: 0,
+      value: 0
+    };
+    return {
+      messageType: 'NoteOn',
+      note: note,
+      velocity: binToVelocity(velocity),
+      instrument: instrument,
+      channel: 0,
+      control: 0,
+      value: 0
+    } as MidiMessage;
+  }
+  return null;
+};
+
+const midiMessageToToken = (msg: MidiMessage) => {
+  if (msg.messageType === 'NoteOn' || msg.messageType === 'NoteOff') {
+    const instrument = InstrumentTypeTokenMap[msg.instrument];
+    const note = msg.note.toString(16);
+    const velocity = velocityToBin(msg.velocity).toString(16);
+    return `${instrument}:${note}:${velocity} `;
+  } else if (msg.messageType === 'ElapsedTime') {
+    let time = Math.round(msg.value / minimalMoveTime);
+    const num = Math.floor(time / 125); // wait_events=125
+    time -= num * 125;
+    let ret = '';
+    for (let i = 0; i < num; i++) {
+      ret += 't125 ';
+    }
+    if (time > 0)
+      ret += `t${time} `;
+    return ret;
+  } else
+    return '';
+};
+
+let dropRecordingTime = false;
+
+export const midiMessageHandler = async (data: MidiMessage) => {
+  if (data.messageType === 'ControlChange') {
+    commonStore.setInstrumentType(Math.round(data.value / 127 * (InstrumentTypeNameMap.length - 1)));
+    return;
+  }
+  if (commonStore.recordingTrackId) {
+    if (dropRecordingTime && data.messageType === 'ElapsedTime') {
+      dropRecordingTime = false;
+      return;
+    }
+    data = {
+      ...data,
+      instrument: commonStore.instrumentType
+    };
+    commonStore.setRecordingRawContent([...commonStore.recordingRawContent, data]);
+    commonStore.setRecordingContent(commonStore.recordingContent + midiMessageToToken(data));
+
+    //TODO data.channel = data.instrument;
+    PlayNote(data);
+  }
+};
+
+type TrackProps = {
+  id: string;
+  right: number;
+  scale: number;
+  isSelected: boolean;
+  onSelect: (id: string) => void;
+};
+
+const Track: React.FC<TrackProps> = observer(({
+  id,
+  right,
+  scale,
+  isSelected,
+  onSelect
+}) => {
+  const { t } = useTranslation();
+  const trackIndex = commonStore.tracks.findIndex(t => t.id === id)!;
+  const track = commonStore.tracks[trackIndex];
+  const trackClass = isSelected ? 'bg-blue-600' : (commonStore.settings.darkMode ? 'bg-blue-900' : 'bg-gray-700');
+  const controlX = useRef(0);
+
+  let trackName = t('Track') + ' ' + id;
+  if (track.mainInstrument)
+    trackName = t('Track') + ' - ' + t('Piano is the main instrument')!.replace(t('Piano')!, t(track.mainInstrument)) + (track.content && (' - ' + track.content));
+  else if (track.content)
+    trackName = t('Track') + ' - ' + track.content;
+
+  return (
+    <Draggable
+      axis="x"
+      bounds={{ left: 0, right }}
+      grid={[snapValue, snapValue]}
+      position={{
+        x: (track.offsetTime - commonStore.trackCurrentTime) / (baseMoveTime * scale) * snapValue,
+        y: 0
+      }}
+      onStart={(e, data) => {
+        controlX.current = data.lastX;
+      }}
+      onStop={(e, data) => {
+        const delta = data.lastX - controlX.current;
+        let offsetTime = Math.round(Math.round(delta / snapValue * baseMoveTime * scale) / minimalMoveTime) * minimalMoveTime;
+        offsetTime = Math.min(Math.max(
+          offsetTime,
+          -track.offsetTime), commonStore.trackTotalTime - track.offsetTime);
+
+        const tracks = commonStore.tracks.slice();
+        tracks[trackIndex].offsetTime += offsetTime;
+        commonStore.setTracks(tracks);
+        refreshTracksTotalTime();
+      }}
+    >
+      <div
+        className={`p-1 cursor-move rounded whitespace-nowrap overflow-hidden ${trackClass}`}
+        style={{
+          width: `${Math.max(minimalTrackWidth,
+            track.contentTime / (baseMoveTime * scale) * snapValue
+          )}px`
+        }}
+        onClick={() => onSelect(id)}
+      >
+        <span className="text-white">{trackName}</span>
+      </div>
+    </Draggable>
+  );
+});
+
+const AudiotrackEditor: FC<{ setPrompt: (prompt: string) => void }> = observer(({ setPrompt }) => {
+  const { t } = useTranslation();
+
+  const viewControlsContainerRef = useRef<HTMLDivElement>(null);
+  const currentTimeControlRef = useRef<HTMLDivElement>(null);
+  const playStartTimeControlRef = useRef<HTMLDivElement>(null);
+  const tracksEndLineRef = useRef<HTMLDivElement>(null);
+  const tracksRef = useRef<HTMLDivElement>(null);
+  const toolbarRef = useRef<HTMLDivElement>(null);
+  const toolbarButtonRef = useRef<HTMLDivElement>(null);
+  const toolbarSliderRef = useRef<HTMLInputElement>(null);
+  const contentPreviewRef = useRef<HTMLDivElement>(null);
+
+  const [refreshRef, setRefreshRef] = useState(false);
+
+  const windowSize = useWindowSize();
+  const scale = (scaleMin + scaleMax) - commonStore.trackScale;
+
+  const [selectedTrackId, setSelectedTrackId] = useState<string>('');
+  const playStartTimeControlX = useRef(0);
+  const selectedTrack = selectedTrackId ? commonStore.tracks.find(t => t.id === selectedTrackId) : undefined;
+
+  useEffect(() => {
+    if (toolbarSliderRef.current && toolbarSliderRef.current.parentElement)
+      toolbarSliderRef.current.parentElement.style.removeProperty('--fui-Slider--steps-percent');
+  }, []);
+
+  const scrollContentToBottom = () => {
+    if (contentPreviewRef.current)
+      contentPreviewRef.current.scrollTop = contentPreviewRef.current.scrollHeight;
+  };
+
+  useEffect(() => {
+    scrollContentToBottom();
+  }, [commonStore.recordingContent]);
+
+  useEffect(() => {
+    setRefreshRef(!refreshRef);
+  }, [windowSize, commonStore.tracks]);
+
+  const viewControlsContainerWidth = (toolbarRef.current && toolbarButtonRef.current && toolbarSliderRef.current) ?
+    toolbarRef.current.clientWidth - toolbarButtonRef.current.clientWidth - toolbarSliderRef.current.clientWidth - 16 // 16 = ml-2 mr-2
+    : 0;
+  const tracksWidth = viewControlsContainerWidth;
+  const timeOfTracksWidth = Math.floor(tracksWidth / snapValue) // number of moves
+    * baseMoveTime * scale;
+  const currentTimeControlWidth = (timeOfTracksWidth < commonStore.trackTotalTime)
+    ? timeOfTracksWidth / commonStore.trackTotalTime * viewControlsContainerWidth
+    : 0;
+  const playStartTimeControlPosition = (commonStore.trackPlayStartTime - commonStore.trackCurrentTime) / (baseMoveTime * scale) * snapValue;
+  const tracksEndPosition = (commonStore.trackTotalTime - commonStore.trackCurrentTime) / (baseMoveTime * scale) * snapValue;
+  const moveableTracksWidth = (tracksEndLineRef.current && viewControlsContainerRef.current &&
+    ((tracksEndLineRef.current.getBoundingClientRect().left - (viewControlsContainerRef.current.getBoundingClientRect().left + trackInitOffsetPx)) > 0))
+    ? tracksEndLineRef.current.getBoundingClientRect().left - (viewControlsContainerRef.current.getBoundingClientRect().left + trackInitOffsetPx)
+    : Infinity;
+
+  return (
+    <div className="flex flex-col gap-2 overflow-hidden" style={{ width: '80vw', height: '80vh' }}>
+      <div className="mx-auto">
+        <Text size={100}>{`${commonStore.trackPlayStartTime} ms / ${commonStore.trackTotalTime} ms`}</Text>
+      </div>
+      <div className="flex pb-2 border-b" ref={toolbarRef}>
+        <div className="flex gap-2" ref={toolbarButtonRef}>
+          <ToolTipButton disabled desc={t('Play All') + ' (Unavailable)'} icon={<Play16Regular />} />
+          <ToolTipButton desc={t('Clear All')} icon={<Delete16Regular />} onClick={() => {
+            commonStore.setTracks([]);
+            commonStore.setTrackScale(1);
+            commonStore.setTrackTotalTime(tracksMinimalTotalTime);
+            commonStore.setTrackCurrentTime(0);
+            commonStore.setTrackPlayStartTime(0);
+          }} />
+        </div>
+        <div className="grow">
+          <div className="flex flex-col ml-2 mr-2" ref={viewControlsContainerRef}>
+            <div className="relative">
+              <Tooltip content={`${commonStore.trackTotalTime} ms`} showDelay={0} hideDelay={0}
+                relationship="description">
+                <div className="border-l absolute"
+                  ref={tracksEndLineRef}
+                  style={{
+                    height: (tracksRef.current && commonStore.tracks.length > 0)
+                      ? tracksRef.current.clientHeight - arrowIconToTracks
+                      : 0,
+                    top: `${topToArrowIcon + arrowIconToTracks}px`,
+                    left: `${tracksEndPosition + trackInitOffsetPx - pixelFix}px`
+                  }} />
+              </Tooltip>
+            </div>
+            <Draggable axis="x" bounds={{
+              left: 0,
+              right: viewControlsContainerWidth - currentTimeControlWidth
+            }}
+              position={{
+                x: commonStore.trackCurrentTime / commonStore.trackTotalTime * viewControlsContainerWidth,
+                y: 0
+              }}
+              onDrag={(e, data) => {
+                setTimeout(() => {
+                  let offset = 0;
+                  if (currentTimeControlRef.current) {
+                    const match = currentTimeControlRef.current.style.transform.match(/translate\((.+)px,/);
+                    if (match)
+                      offset = parseFloat(match[1]);
+                  }
+                  const offsetTime = commonStore.trackTotalTime / viewControlsContainerWidth * offset;
+                  commonStore.setTrackCurrentTime(offsetTime);
+                }, 1);
+              }}
+            >
+              <div ref={currentTimeControlRef}
+                className={classnames('h-2 cursor-move rounded', commonStore.settings.darkMode ? 'bg-neutral-600' : 'bg-gray-700')}
+                style={{ width: currentTimeControlWidth }} />
+            </Draggable>
+            <div className={classnames(
+              'flex',
+              (playStartTimeControlPosition < 0 || playStartTimeControlPosition > viewControlsContainerWidth)
+              && 'hidden'
+            )}>
+              <Draggable axis="x" bounds={{
+                left: 0,
+                right: (playStartTimeControlRef.current)
+                  ? Math.min(viewControlsContainerWidth - playStartTimeControlRef.current.clientWidth, moveableTracksWidth)
+                  : 0
+              }}
+                grid={[snapValue, snapValue]}
+                position={{ x: playStartTimeControlPosition, y: 0 }}
+                onStart={(e, data) => {
+                  playStartTimeControlX.current = data.lastX;
+                }}
+                onStop={(e, data) => {
+                  const delta = data.lastX - playStartTimeControlX.current;
+                  let offsetTime = Math.round(Math.round(delta / snapValue * baseMoveTime * scale) / minimalMoveTime) * minimalMoveTime;
+                  offsetTime = Math.min(Math.max(
+                    offsetTime,
+                    -commonStore.trackPlayStartTime), commonStore.trackTotalTime - commonStore.trackPlayStartTime);
+                  commonStore.setTrackPlayStartTime(commonStore.trackPlayStartTime + offsetTime);
+                }}
+              >
+                <div className="relative cursor-move"
+                  ref={playStartTimeControlRef}>
+                  <ArrowAutofitWidth20Regular />
+                  <div
+                    className={classnames('border-l absolute', commonStore.settings.darkMode ? 'border-white' : 'border-gray-700')}
+                    style={{
+                      height: (tracksRef.current && commonStore.tracks.length > 0)
+                        ? tracksRef.current.clientHeight
+                        : 0,
+                      top: '50%',
+                      left: `calc(50% - ${pixelFix}px)`
+                    }} />
+                </div>
+              </Draggable>
+            </div>
+          </div>
+        </div>
+        <Tooltip content={t('Scale View')! + ': ' + commonStore.trackScale} showDelay={0} hideDelay={0}
+          relationship="description">
+          <Slider ref={toolbarSliderRef} value={commonStore.trackScale} step={scaleMin} max={scaleMax} min={scaleMin}
+            onChange={(e, data) => {
+              commonStore.setTrackScale(data.value);
+            }}
+          />
+        </Tooltip>
+      </div>
+      <div className="flex flex-col overflow-y-auto gap-1" ref={tracksRef}>
+        {commonStore.tracks.map(track =>
+          <div key={track.id} className="flex gap-2 pb-1 border-b">
+            <div className="flex gap-1 border-r h-7">
+              <ToolTipButton desc={commonStore.recordingTrackId === track.id ? t('Stop') : t('Record')}
+                disabled={commonStore.platform === 'web'}
+                icon={commonStore.recordingTrackId === track.id ? <Stop16Filled /> : <Record16Regular />}
+                size="small" shape="circular" appearance="subtle"
+                onClick={() => {
+                  flushMidiRecordingContent();
+                  commonStore.setPlayingTrackId('');
+
+                  if (commonStore.recordingTrackId === track.id) {
+                    commonStore.setRecordingTrackId('');
+                  } else {
+                    if (commonStore.activeMidiDeviceIndex === -1) {
+                      toast(t('Please select a MIDI device first'), { type: 'warning' });
+                      return;
+                    }
+
+                    dropRecordingTime = true;
+                    setSelectedTrackId(track.id);
+
+                    commonStore.setRecordingTrackId(track.id);
+                    commonStore.setRecordingContent(track.content);
+                    commonStore.setRecordingRawContent(track.rawContent.slice());
+                  }
+                }} />
+              <ToolTipButton disabled
+                desc={commonStore.playingTrackId === track.id ? t('Stop') : t('Play') + ' (Unavailable)'}
+                icon={commonStore.playingTrackId === track.id ? <Pause16Regular /> : <Play16Filled />}
+                size="small" shape="circular" appearance="subtle"
+                onClick={() => {
+                  flushMidiRecordingContent();
+                  commonStore.setRecordingTrackId('');
+
+                  if (commonStore.playingTrackId === track.id) {
+                    commonStore.setPlayingTrackId('');
+                  } else {
+                    setSelectedTrackId(track.id);
+
+                    commonStore.setPlayingTrackId(track.id);
+                  }
+                }} />
+              <ToolTipButton desc={t('Delete')} icon={<Delete16Regular />} size="small" shape="circular"
+                appearance="subtle" onClick={() => {
+                const tracks = commonStore.tracks.slice().filter(t => t.id !== track.id);
+                commonStore.setTracks(tracks);
+                refreshTracksTotalTime();
+              }} />
+            </div>
+            <div className="relative grow overflow-hidden">
+              <div className="absolute" style={{ left: -0 }}>
+                <Track
+                  id={track.id}
+                  scale={scale}
+                  right={Math.min(tracksWidth, moveableTracksWidth)}
+                  isSelected={selectedTrackId === track.id}
+                  onSelect={setSelectedTrackId}
+                />
+              </div>
+            </div>
+          </div>)}
+        <div className="flex justify-between items-center">
+          <div className="flex gap-1">
+            <Button icon={<Add16Regular />} size="small" shape="circular"
+              appearance="subtle"
+              disabled={commonStore.platform === 'web'}
+              onClick={() => {
+                commonStore.setTracks([...commonStore.tracks, {
+                  id: uuid(),
+                  mainInstrument: '',
+                  content: '',
+                  rawContent: [],
+                  offsetTime: 0,
+                  contentTime: 0
+                }]);
+              }}>
+              {t('New Track')}
+            </Button>
+            <Button icon={<ArrowUpload16Regular />} size="small" shape="circular"
+              appearance="subtle"
+              onClick={() => {
+                if (commonStore.status.status === ModelStatus.Offline && !commonStore.settings.apiUrl && commonStore.platform !== 'web') {
+                  toast(t('Please click the button in the top right corner to start the model'), { type: 'warning' });
+                  return;
+                }
+
+                OpenOpenFileDialog('*.mid').then(async filePath => {
+                  if (!filePath)
+                    return;
+
+                  let blob: Blob;
+                  if (commonStore.platform === 'web')
+                    blob = (filePath as unknown as { blob: Blob }).blob;
+                  else
+                    blob = await fetch(absPathAsset(filePath)).then(r => r.blob());
+                  const bodyForm = new FormData();
+                  bodyForm.append('file_data', blob);
+                  fetch(getServerRoot(commonStore.getCurrentModelConfig().apiParameters.apiPort) + '/midi-to-text', {
+                    method: 'POST',
+                    body: bodyForm
+                  }).then(async r => {
+                      if (r.status === 200) {
+                        const text = (await r.json()).text as string;
+                        const rawContent = text.split(' ').map(tokenToMidiMessage).filter(m => m) as MidiMessage[];
+                        const tracks = commonStore.tracks.slice();
+
+                        tracks.push({
+                          id: uuid(),
+                          mainInstrument: getMidiRawContentMainInstrument(rawContent),
+                          content: text,
+                          rawContent: rawContent,
+                          offsetTime: 0,
+                          contentTime: getMidiRawContentTime(rawContent)
+                        });
+                        commonStore.setTracks(tracks);
+                        refreshTracksTotalTime();
+                      } else {
+                        toast(r.statusText + '\n' + (await r.text()), {
+                          type: 'error'
+                        });
+                      }
+                    }
+                  ).catch(e => {
+                    toast(t('Error') + ' - ' + (e.message || e), { type: 'error', autoClose: 2500 });
+                  });
+                }).catch(e => {
+                  toast(t('Error') + ' - ' + (e.message || e), { type: 'error', autoClose: 2500 });
+                });
+              }}>
+              {t('Import MIDI')}
+            </Button>
+          </div>
+          <Text size={100}>
+            {t('Select a track to preview the content')}
+          </Text>
+        </div>
+      </div>
+      <div className="grow"></div>
+      {selectedTrack &&
+        <Card size="small" appearance="outline" style={{ minHeight: '150px', maxHeight: '200px' }}>
+          <div className="flex flex-col gap-1 overflow-hidden">
+            <Text size={100}>{`${t('Start Time')}: ${selectedTrack.offsetTime} ms`}</Text>
+            <Text size={100}>{`${t('Content Duration')}: ${selectedTrack.contentTime} ms`}</Text>
+            <div className="overflow-y-auto overflow-x-hidden" ref={contentPreviewRef}>
+              {selectedTrackId === commonStore.recordingTrackId
+                ? commonStore.recordingContent
+                : selectedTrack.content}
+            </div>
+          </div>
+        </Card>
+      }
+      {
+        commonStore.platform !== 'web' &&
+        <div className="flex gap-2 items-end mx-auto">
+          {t('Current Instrument') + ':'}
+          {InstrumentTypeNameMap.map((name, i) =>
+            <Text key={name} style={{ whiteSpace: 'nowrap' }}
+              className={commonStore.instrumentType === i ? 'text-blue-600' : ''}
+              weight={commonStore.instrumentType === i ? 'bold' : 'regular'}
+              size={commonStore.instrumentType === i ? 300 : 100}
+            >{t(name)}</Text>)}
+        </div>
+      }
+      <DialogTrigger disableButtonEnhancement>
+        <Button icon={<MusicNote220Regular />} style={{ minHeight: '32px' }} onClick={() => {
+          flushMidiRecordingContent();
+          commonStore.setRecordingTrackId('');
+          commonStore.setPlayingTrackId('');
+
+          const timestamp = [];
+          const sortedTracks = commonStore.tracks.slice().sort((a, b) => a.offsetTime - b.offsetTime);
+          for (const track of sortedTracks) {
+            timestamp.push(track.offsetTime);
+            let accContentTime = 0;
+            for (const msg of track.rawContent) {
+              if (msg.messageType === 'ElapsedTime') {
+                accContentTime += msg.value;
+                timestamp.push(track.offsetTime + accContentTime);
+              }
+            }
+          }
+          const sortedTimestamp = timestamp.slice().sort((a, b) => a - b);
+          const globalMessages: MidiMessage[] = sortedTimestamp.reduce((messages, current, i) =>
+              [...messages, {
+                messageType: 'ElapsedTime',
+                value: current - (i === 0 ? 0 : sortedTimestamp[i - 1])
+              } as MidiMessage]
+            , [] as MidiMessage[]);
+          for (const track of sortedTracks) {
+            let currentTime = track.offsetTime;
+            let accContentTime = 0;
+            for (const msg of track.rawContent) {
+              if (msg.messageType === 'ElapsedTime') {
+                accContentTime += msg.value;
+                currentTime = track.offsetTime + accContentTime;
+              } else if (msg.messageType === 'NoteOn' || msg.messageType === 'NoteOff') {
+                const insertIndex = sortedTimestamp.findIndex(t => t >= currentTime);
+                globalMessages.splice(insertIndex + 1, 0, msg);
+                sortedTimestamp.splice(insertIndex + 1, 0, 0); // placeholder
+              }
+            }
+          }
+          const result = ('<pad> ' + globalMessages.map(midiMessageToToken).join('')).trim();
+          commonStore.setCompositionSubmittedPrompt(result);
+          setPrompt(result);
+        }}>
+          {t('Save to generation area')}
+        </Button>
+      </DialogTrigger>
+    </div>
+  );
+});
+
+export default AudiotrackEditor;

frontend/src/pages/Chat.tsx

@@ -16,8 +16,11 @@ import {
   Attach16Regular,
   Delete28Regular,
   Dismiss16Regular,
+  Dismiss24Regular,
   RecordStop28Regular,
-  Save28Regular
+  SaveRegular,
+  TextAlignJustify24Regular,
+  TextAlignJustifyRotate9024Regular
 } from '@fluentui/react-icons';
 import { CopyButton } from '../components/CopyButton';
 import { ReadButton } from '../components/ReadButton';
@@ -25,49 +28,22 @@ import { toast } from 'react-toastify';
 import { WorkHeader } from '../components/WorkHeader';
 import { DialogButton } from '../components/DialogButton';
 import { OpenFileFolder, OpenOpenFileDialog, OpenSaveFileDialog } from '../../wailsjs/go/backend_golang/App';
-import { absPathAsset, bytesToReadable, toastWithButton } from '../utils';
-import { PresetsButton } from './PresetsManager/PresetsButton';
+import { absPathAsset, bytesToReadable, getServerRoot, setActivePreset, toastWithButton } from '../utils';
 import { useMediaQuery } from 'usehooks-ts';
+import { botName, ConversationMessage, MessageType, userName, welcomeUuid } from '../types/chat';
+import { Labeled } from '../components/Labeled';
+import { ValuedSlider } from '../components/ValuedSlider';
+import { PresetsButton } from './PresetsManager/PresetsButton';
+import { webOpenOpenFileDialog } from '../utils/web-file-operations';
 
-export const userName = 'M E';
-export const botName = 'A I';
+let chatSseControllers: {
+  [id: string]: AbortController
+} = {};
 
-export const welcomeUuid = 'welcome';
-
-export enum MessageType {
-  Normal,
-  Error
-}
-
-export type Side = 'left' | 'right'
-
-export type Color = 'neutral' | 'brand' | 'colorful'
-
-export type MessageItem = {
-  sender: string,
-  type: MessageType,
-  color: Color,
-  avatarImg?: string,
-  time: string,
-  content: string,
-  side: Side,
-  done: boolean
-}
-
-export type Conversation = {
-  [uuid: string]: MessageItem
-}
-
-export type Role = 'assistant' | 'user' | 'system';
-
-export type ConversationMessage = {
-  role: Role;
-  content: string;
-}
-
-let chatSseControllers: { [id: string]: AbortController } = {};
-
-const MoreUtilsButton: FC<{ uuid: string, setEditing: (editing: boolean) => void }> = observer(({
+const MoreUtilsButton: FC<{
+  uuid: string,
+  setEditing: (editing: boolean) => void
+}> = observer(({
   uuid,
   setEditing
 }) => {
@@ -91,13 +67,15 @@ const MoreUtilsButton: FC<{ uuid: string, setEditing: (editing: boolean) => void
         onClick={() => {
           commonStore.conversationOrder.splice(commonStore.conversationOrder.indexOf(uuid), 1);
           delete commonStore.conversation[uuid];
+          commonStore.setAttachment(uuid, null);
         }} />
     </MenuPopover>
   </Menu>;
 });
 
 const ChatMessageItem: FC<{
-  uuid: string, onSubmit: (message: string | null, answerId: string | null,
+  uuid: string,
+  onSubmit: (message: string | null, answerId: string | null,
     startUuid: string | null, endUuid: string | null, includeEndUuid: boolean) => void
 }> = observer(({ uuid, onSubmit }) => {
   const { t } = useTranslation();
@@ -157,7 +135,21 @@ const ChatMessageItem: FC<{
       )}
     >
       {!editing ?
-        <MarkdownRender>{messageItem.content}</MarkdownRender> :
+        <div className="flex flex-col">
+          <MarkdownRender>{messageItem.content}</MarkdownRender>
+          {uuid in commonStore.attachments &&
+            <div className="flex grow">
+              <div className="grow" />
+              <ToolTipButton className="whitespace-nowrap"
+                text={
+                  commonStore.attachments[uuid][0].name.replace(
+                    new RegExp('(^[^\\.]{5})[^\\.]+'), '$1...')
+                }
+                desc={`${commonStore.attachments[uuid][0].name} (${bytesToReadable(commonStore.attachments[uuid][0].size)})`}
+                size="small" shape="circular" appearance="secondary" />
+            </div>
+          }
+        </div> :
         <Textarea ref={textareaRef}
           className="grow"
           style={{ minWidth: 0 }}
@@ -202,11 +194,125 @@ const ChatMessageItem: FC<{
   </div>;
 });
 
+const SidePanel: FC = observer(() => {
+  const [t] = useTranslation();
+  const mq = useMediaQuery('(min-width: 640px)');
+  const params = commonStore.chatParams;
+
+  return <div
+    className={classnames(
+      'flex flex-col gap-1 h-full flex-shrink-0 transition-width duration-300 ease-in-out',
+      commonStore.sidePanelCollapsed ? 'w-0' : (mq ? 'w-64' : 'w-full'),
+      !commonStore.sidePanelCollapsed && 'ml-1')
+    }>
+    <div className="flex m-1">
+      <div className="grow" />
+      <PresetsButton tab="Chat" size="medium" shape="circular" appearance="subtle" />
+      <Button size="medium" shape="circular" appearance="subtle" icon={<Dismiss24Regular />}
+        onClick={() => commonStore.setSidePanelCollapsed(true)}
+      />
+    </div>
+    <div className="flex flex-col gap-1 overflow-x-hidden overflow-y-auto p-1">
+      <Labeled flex breakline label={t('Max Response Token')}
+        desc={t('By default, the maximum number of tokens that can be answered in a single response, it can be changed by the user by specifying API parameters.')}
+        content={
+          <ValuedSlider value={params.maxResponseToken} min={100} max={8100}
+            step={100}
+            input
+            onChange={(e, data) => {
+              commonStore.setChatParams({
+                maxResponseToken: data.value
+              });
+            }} />
+        } />
+      <Labeled flex breakline label={t('Temperature')}
+        desc={t('Sampling temperature, it\'s like giving alcohol to a model, the higher the stronger the randomness and creativity, while the lower, the more focused and deterministic it will be.')}
+        content={
+          <ValuedSlider value={params.temperature} min={0} max={2} step={0.1}
+            input
+            onChange={(e, data) => {
+              commonStore.setChatParams({
+                temperature: data.value
+              });
+            }} />
+        } />
+      <Labeled flex breakline label={t('Top_P')}
+        desc={t('Just like feeding sedatives to the model. Consider the results of the top n% probability mass, 0.1 considers the top 10%, with higher quality but more conservative, 1 considers all results, with lower quality but more diverse.')}
+        content={
+          <ValuedSlider value={params.topP} min={0} max={1} step={0.1} input
+            onChange={(e, data) => {
+              commonStore.setChatParams({
+                topP: data.value
+              });
+            }} />
+        } />
+      <Labeled flex breakline label={t('Presence Penalty')}
+        desc={t('Positive values penalize new tokens based on whether they appear in the text so far, increasing the model\'s likelihood to talk about new topics.')}
+        content={
+          <ValuedSlider value={params.presencePenalty} min={0} max={2}
+            step={0.1} input
+            onChange={(e, data) => {
+              commonStore.setChatParams({
+                presencePenalty: data.value
+              });
+            }} />
+        } />
+      <Labeled flex breakline label={t('Frequency Penalty')}
+        desc={t('Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model\'s likelihood to repeat the same line verbatim.')}
+        content={
+          <ValuedSlider value={params.frequencyPenalty} min={0} max={2}
+            step={0.1} input
+            onChange={(e, data) => {
+              commonStore.setChatParams({
+                frequencyPenalty: data.value
+              });
+            }} />
+        } />
+    </div>
+    <div className="grow" />
+    {/*<Button*/}
+    {/*  icon={<FolderOpenVerticalRegular />}*/}
+    {/*  onClick={() => {*/}
+    {/*  }}>*/}
+    {/*  {t('Load Conversation')}*/}
+    {/*</Button>*/}
+    <Button
+      icon={<SaveRegular />}
+      onClick={() => {
+        let savedContent: string = '';
+        const isWorldModel = commonStore.getCurrentModelConfig().modelParameters.modelName.toLowerCase().includes('world');
+        const user = isWorldModel ? 'User' : 'Bob';
+        const bot = isWorldModel ? 'Assistant' : 'Alice';
+        commonStore.conversationOrder.forEach((uuid) => {
+          if (uuid === welcomeUuid)
+            return;
+          const messageItem = commonStore.conversation[uuid];
+          if (messageItem.type !== MessageType.Error) {
+            savedContent += `${messageItem.sender === userName ? user : bot}: ${messageItem.content}\n\n`;
+          }
+        });
+
+        OpenSaveFileDialog('*.txt', 'conversation.txt', savedContent).then((path) => {
+          if (path)
+            toastWithButton(t('Conversation Saved'), t('Open'), () => {
+              OpenFileFolder(path, false);
+            });
+        }).catch(e => {
+          toast(t('Error') + ' - ' + (e.message || e), { type: 'error', autoClose: 2500 });
+        });
+      }}>
+      {t('Save Conversation')}
+    </Button>
+  </div>;
+});
+
 const ChatPanel: FC = observer(() => {
   const { t } = useTranslation();
   const bodyRef = useRef<HTMLDivElement>(null);
   const inputRef = useRef<HTMLTextAreaElement>(null);
   const mq = useMediaQuery('(min-width: 640px)');
+  if (commonStore.sidePanelCollapsed === 'auto')
+    commonStore.setSidePanelCollapsed(!mq);
   const currentConfig = commonStore.getCurrentModelConfig();
   const apiParams = currentConfig.apiParameters;
   const port = apiParams.apiPort;
@@ -228,7 +334,7 @@ const ChatPanel: FC = observer(() => {
           color: 'colorful',
           avatarImg: logo,
           time: new Date().toISOString(),
-          content: t('Hello! I\'m RWKV, an open-source and commercially usable large language model.'),
+          content: commonStore.platform === 'web' ? t('Hello, what can I do for you?') : t('Hello! I\'m RWKV, an open-source and commercially usable large language model.'),
           side: 'left',
           done: true
         }
@@ -245,7 +351,7 @@ const ChatPanel: FC = observer(() => {
     e.stopPropagation();
     if (e.type === 'click' || (e.keyCode === 13 && !e.shiftKey)) {
       e.preventDefault();
-      if (commonStore.status.status === ModelStatus.Offline && !commonStore.settings.apiUrl) {
+      if (commonStore.status.status === ModelStatus.Offline && !commonStore.settings.apiUrl && commonStore.platform !== 'web') {
         toast(t('Please click the button in the top right corner to start the model'), { type: 'warning' });
         return;
       }
@@ -275,6 +381,11 @@ const ChatPanel: FC = observer(() => {
       commonStore.setConversation(commonStore.conversation);
       commonStore.conversationOrder.push(newId);
       commonStore.setConversationOrder(commonStore.conversationOrder);
+
+      if (commonStore.currentTempAttachment) {
+        commonStore.setAttachment(newId, [commonStore.currentTempAttachment]);
+        commonStore.setCurrentTempAttachment(null);
+      }
     }
 
     let startIndex = startUuid ? commonStore.conversationOrder.indexOf(startUuid) : 0;
@@ -282,20 +393,21 @@ const ChatPanel: FC = observer(() => {
     let targetRange = commonStore.conversationOrder.slice(startIndex, endIndex);
 
     const messages: ConversationMessage[] = [];
-    if (commonStore.attachmentContent) {
-      messages.push({
-        role: 'user',
-        content: t('The content of file') + ` "${commonStore.attachmentName}" `
-          + t('is as follows. When replying to me, consider the file content and respond accordingly:')
-          + '\n\n' + commonStore.attachmentContent
-      });
-      messages.push({ role: 'user', content: t('What\'s the file name') });
-      messages.push({ role: 'assistant', content: t('The file name is: ') + commonStore.attachmentName });
-    }
     targetRange.forEach((uuid, index) => {
       if (uuid === welcomeUuid)
         return;
       const messageItem = commonStore.conversation[uuid];
+      if (uuid in commonStore.attachments) {
+        const attachment = commonStore.attachments[uuid][0];
+        messages.push({
+          role: 'user',
+          content: t('The content of file') + ` "${attachment.name}" `
+            + t('is as follows. When replying to me, consider the file content and respond accordingly:')
+            + '\n\n' + attachment.content
+        });
+        messages.push({ role: 'user', content: t('What\'s the file name') });
+        messages.push({ role: 'assistant', content: t('The file name is: ') + attachment.name });
+      }
       if (messageItem.done && messageItem.type === MessageType.Normal && messageItem.sender === userName) {
         messages.push({ role: 'user', content: messageItem.content });
       } else if (messageItem.done && messageItem.type === MessageType.Normal && messageItem.sender === botName) {
@@ -323,10 +435,8 @@ const ChatPanel: FC = observer(() => {
     let answer = '';
     const chatSseController = new AbortController();
     chatSseControllers[answerId] = chatSseController;
-    fetchEventSource( // https://api.openai.com/v1/chat/completions || http://127.0.0.1:${port}/chat/completions
-      commonStore.settings.apiUrl ?
-        commonStore.settings.apiUrl + '/v1/chat/completions' :
-        `http://127.0.0.1:${port}/chat/completions`,
+    fetchEventSource( // https://api.openai.com/v1/chat/completions || http://127.0.0.1:${port}/v1/chat/completions
+      getServerRoot(port, true) + '/v1/chat/completions',
       {
         method: 'POST',
         headers: {
@@ -337,16 +447,20 @@ const ChatPanel: FC = observer(() => {
           messages,
           stream: true,
           model: commonStore.settings.apiChatModelName, // 'gpt-3.5-turbo'
-          temperature: apiParams.temperature,
-          top_p: apiParams.topP,
-          user_name: commonStore.activePreset?.userName,
-          assistant_name: commonStore.activePreset?.assistantName,
-          presystem: commonStore.activePreset?.presystem
+          temperature: commonStore.chatParams.temperature,
+          top_p: commonStore.chatParams.topP,
+          presence_penalty: commonStore.chatParams.presencePenalty,
+          frequency_penalty: commonStore.chatParams.frequencyPenalty,
+          user_name: commonStore.activePreset?.userName || undefined,
+          assistant_name: commonStore.activePreset?.assistantName || undefined,
+          presystem: commonStore.activePreset?.presystem && undefined
         }),
         signal: chatSseController?.signal,
         onmessage(e) {
           scrollToBottom();
           if (e.data.trim() === '[DONE]') {
+            if (answerId! in chatSseControllers)
+              delete chatSseControllers[answerId!];
             commonStore.conversation[answerId!].done = true;
             commonStore.conversation[answerId!].content = commonStore.conversation[answerId!].content.trim();
             commonStore.setConversation(commonStore.conversation);
@@ -360,6 +474,8 @@ const ChatPanel: FC = observer(() => {
             console.debug('json error', error);
             return;
           }
+          if (data.model)
+            commonStore.setLastModelName(data.model);
           if (data.choices && Array.isArray(data.choices) && data.choices.length > 0) {
             answer += data.choices[0]?.delta?.content || '';
             commonStore.conversation[answerId!].content = answer;
@@ -381,6 +497,8 @@ const ChatPanel: FC = observer(() => {
           console.log('Connection closed');
         },
         onerror(err) {
+          if (answerId! in chatSseControllers)
+            delete chatSseControllers[answerId!];
           commonStore.conversation[answerId!].type = MessageType.Error;
           commonStore.conversation[answerId!].done = true;
           err = err.message || err;
@@ -395,172 +513,175 @@ const ChatPanel: FC = observer(() => {
   }, []);
 
   return (
-    <div className="flex flex-col w-full grow gap-4 pt-4 overflow-hidden">
-      <div ref={bodyRef} className="grow overflow-y-scroll overflow-x-hidden pr-2">
-        {commonStore.conversationOrder.map(uuid =>
-          <ChatMessageItem key={uuid} uuid={uuid} onSubmit={onSubmit} />
-        )}
-      </div>
-      <div className={classnames('flex items-end', mq ? 'gap-2' : '')}>
-        <PresetsButton tab="Chat" size={mq ? 'large' : 'small'} shape="circular" appearance="subtle" />
-        <DialogButton tooltip={t('Clear')}
-          icon={<Delete28Regular />}
-          size={mq ? 'large' : 'small'} shape="circular" appearance="subtle" title={t('Clear')}
-          contentText={t('Are you sure you want to clear the conversation? It cannot be undone.')}
-          onConfirm={() => {
-            if (generating) {
-              for (const id in chatSseControllers) {
-                chatSseControllers[id].abort();
+    <div className="flex h-full grow pt-4 overflow-hidden">
+      <div className="relative flex flex-col w-full grow gap-4 overflow-hidden">
+        <Button className="absolute top-1 right-1" size="medium" shape="circular" appearance="subtle"
+          style={{ zIndex: 1 }}
+          icon={commonStore.sidePanelCollapsed ? <TextAlignJustify24Regular /> : <TextAlignJustifyRotate9024Regular />}
+          onClick={() => commonStore.setSidePanelCollapsed(!commonStore.sidePanelCollapsed)} />
+        <div ref={bodyRef} className="grow overflow-y-scroll overflow-x-hidden pr-2">
+          {commonStore.conversationOrder.map(uuid =>
+            <ChatMessageItem key={uuid} uuid={uuid} onSubmit={onSubmit} />
+          )}
+        </div>
+        <div className={classnames('flex items-end', mq ? 'gap-2' : '')}>
+          <DialogButton tooltip={t('Clear')}
+            icon={<Delete28Regular />}
+            size={mq ? 'large' : 'small'} shape="circular" appearance="subtle" title={t('Clear')}
+            contentText={t('Are you sure you want to clear the conversation? It cannot be undone.')}
+            onConfirm={() => {
+              if (generating) {
+                for (const id in chatSseControllers) {
+                  chatSseControllers[id].abort();
+                }
+                chatSseControllers = {};
               }
-              chatSseControllers = {};
-            }
-            commonStore.setConversation({});
-            commonStore.setConversationOrder([]);
-          }} />
-        <div className="relative flex grow">
-          <Textarea
-            ref={inputRef}
-            style={{ minWidth: 0 }}
-            className="grow"
-            resize="vertical"
-            placeholder={t('Type your message here')!}
-            value={commonStore.currentInput}
-            onChange={(e) => commonStore.setCurrentInput(e.target.value)}
-            onKeyDown={handleKeyDownOrClick}
-          />
-          <div className="absolute right-2 bottom-2">
-            {!commonStore.attachmentContent ?
-              <ToolTipButton
-                desc={commonStore.attachmentUploading ?
-                  t('Uploading Attachment') :
-                  t('Add An Attachment (Accepts pdf, txt)')}
-                icon={commonStore.attachmentUploading ?
-                  <ArrowClockwise16Regular className="animate-spin" />
-                  : <Attach16Regular />}
-                size="small" shape="circular" appearance="secondary"
-                onClick={() => {
-                  if (commonStore.status.status === ModelStatus.Offline && !commonStore.settings.apiUrl) {
-                    toast(t('Please click the button in the top right corner to start the model'), { type: 'warning' });
-                    return;
-                  }
-
-                  if (commonStore.attachmentUploading)
-                    return;
-
-                  OpenOpenFileDialog('*.txt;*.pdf').then(async filePath => {
-                    if (!filePath)
+              setActivePreset(commonStore.activePreset);
+            }} />
+          <div className="relative flex grow">
+            <Textarea
+              ref={inputRef}
+              style={{ minWidth: 0 }}
+              className="grow"
+              resize="vertical"
+              placeholder={t('Type your message here')!}
+              value={commonStore.currentInput}
+              onChange={(e) => commonStore.setCurrentInput(e.target.value)}
+              onKeyDown={handleKeyDownOrClick}
+            />
+            <div className="absolute right-2 bottom-2">
+              {!commonStore.currentTempAttachment ?
+                <ToolTipButton
+                  desc={commonStore.attachmentUploading ?
+                    t('Processing Attachment') :
+                    t('Add An Attachment (Accepts pdf, txt)')}
+                  icon={commonStore.attachmentUploading ?
+                    <ArrowClockwise16Regular className="animate-spin" />
+                    : <Attach16Regular />}
+                  size="small" shape="circular" appearance="secondary"
+                  onClick={() => {
+                    if (commonStore.attachmentUploading)
                       return;
 
-                    commonStore.setAttachmentUploading(true);
-
-                    // Both are slow. Communication between frontend and backend is slow. Use AssetServer Handler to read the file.
-                    // const blob = new Blob([atob(info.content as unknown as string)]); // await fetch(`data:application/octet-stream;base64,${info.content}`).then(r => r.blob());
-                    const blob = await fetch(absPathAsset(filePath)).then(r => r.blob());
-                    const attachmentName = filePath.split(/[\\/]/).pop();
-                    const urlPath = `/file-to-text?file_name=${attachmentName}`;
-                    const bodyForm = new FormData();
-                    bodyForm.append('file_data', blob, attachmentName);
-                    fetch(commonStore.settings.apiUrl ?
-                      commonStore.settings.apiUrl + urlPath :
-                      `http://127.0.0.1:${port}${urlPath}`, {
-                      method: 'POST',
-                      body: bodyForm
-                    }).then(async r => {
-                        if (r.status === 200) {
-                          const pages = (await r.json()).pages as any[];
-                          let attachmentContent: string;
-                          if (pages.length === 1)
-                            attachmentContent = pages[0].page_content;
-                          else
-                            attachmentContent = pages.map((p, i) => `Page ${i + 1}:\n${p.page_content}`).join('\n\n');
-                          commonStore.setAttachmentName(attachmentName!);
-                          commonStore.setAttachmentSize(blob.size);
-                          commonStore.setAttachmentContent(attachmentContent);
-                        } else {
-                          toast(r.statusText + '\n' + (await r.text()), {
-                            type: 'error'
+                    const filterPattern = '*.txt;*.pdf';
+                    const setUploading = () => commonStore.setAttachmentUploading(true);
+                    // actually, status of web platform is always Offline
+                    if (commonStore.platform === 'web' || commonStore.status.status === ModelStatus.Offline || currentConfig.modelParameters.device === 'WebGPU') {
+                      webOpenOpenFileDialog(filterPattern, setUploading).then(webReturn => {
+                        if (webReturn.content)
+                          commonStore.setCurrentTempAttachment(
+                            {
+                              name: webReturn.blob.name,
+                              size: webReturn.blob.size,
+                              content: webReturn.content
+                            });
+                        else
+                          toast(t('File is empty'), {
+                            type: 'info',
+                            autoClose: 1000
                           });
-                        }
+                      }).catch(e => {
+                        toast(t('Error') + ' - ' + (e.message || e), { type: 'error', autoClose: 2500 });
+                      }).finally(() => {
                         commonStore.setAttachmentUploading(false);
-                      }
-                    ).catch(e => {
-                      commonStore.setAttachmentUploading(false);
-                      toast(t('Error') + ' - ' + (e.message || e), { type: 'error', autoClose: 2500 });
-                    });
-                  }).catch(e => {
-                    toast(t('Error') + ' - ' + (e.message || e), { type: 'error', autoClose: 2500 });
-                  });
-                }}
-              /> :
-              <div>
-                <ToolTipButton
-                  text={
-                    commonStore.attachmentName.replace(
-                      new RegExp('(^[^\\.]{5})[^\\.]+'), '$1...')
-                  }
-                  desc={`${commonStore.attachmentName} (${bytesToReadable(commonStore.attachmentSize)})`}
-                  size="small" shape="circular" appearance="secondary" />
-                <ToolTipButton desc={t('Remove Attachment')}
-                  icon={<Dismiss16Regular />}
-                  size="small" shape="circular" appearance="subtle"
-                  onClick={() => {
-                    commonStore.setAttachmentName('');
-                    commonStore.setAttachmentSize(0);
-                    commonStore.setAttachmentContent('');
-                  }} />
-              </div>
-            }
-          </div>
-        </div>
-        <ToolTipButton desc={generating ? t('Stop') : t('Send')}
-          icon={generating ? <RecordStop28Regular /> : <ArrowCircleUp28Regular />}
-          size={mq ? 'large' : 'small'} shape="circular" appearance="subtle"
-          onClick={(e) => {
-            if (generating) {
-              for (const id in chatSseControllers) {
-                chatSseControllers[id].abort();
-                commonStore.conversation[id].type = MessageType.Error;
-                commonStore.conversation[id].done = true;
-              }
-              chatSseControllers = {};
-              commonStore.setConversation(commonStore.conversation);
-              commonStore.setConversationOrder([...commonStore.conversationOrder]);
-            } else {
-              handleKeyDownOrClick(e);
-            }
-          }} />
-        <ToolTipButton desc={t('Save')}
-          icon={<Save28Regular />}
-          size={mq ? 'large' : 'small'} shape="circular" appearance="subtle"
-          onClick={() => {
-            let savedContent: string = '';
-            const isWorldModel = commonStore.getCurrentModelConfig().modelParameters.modelName.toLowerCase().includes('world');
-            const user = isWorldModel ? 'User' : 'Bob';
-            const bot = isWorldModel ? 'Assistant' : 'Alice';
-            commonStore.conversationOrder.forEach((uuid) => {
-              if (uuid === welcomeUuid)
-                return;
-              const messageItem = commonStore.conversation[uuid];
-              if (messageItem.type !== MessageType.Error) {
-                savedContent += `${messageItem.sender === userName ? user : bot}: ${messageItem.content}\n\n`;
-              }
-            });
+                      });
+                    } else {
+                      OpenOpenFileDialog(filterPattern).then(async filePath => {
+                        if (!filePath)
+                          return;
 
-            OpenSaveFileDialog('*.txt', 'conversation.txt', savedContent).then((path) => {
-              if (path)
-                toastWithButton(t('Conversation Saved'), t('Open'), () => {
-                  OpenFileFolder(path, false);
-                });
-            }).catch(e => {
-              toast(t('Error') + ' - ' + (e.message || e), { type: 'error', autoClose: 2500 });
-            });
-          }} />
+                        setUploading();
+
+                        // Both are slow. Communication between frontend and backend is slow. Use AssetServer Handler to read the file.
+                        // const blob = new Blob([atob(info.content as unknown as string)]); // await fetch(`data:application/octet-stream;base64,${info.content}`).then(r => r.blob());
+                        const blob = await fetch(absPathAsset(filePath)).then(r => r.blob());
+                        const attachmentName = filePath.split(/[\\/]/).pop();
+                        const urlPath = `/file-to-text?file_name=${attachmentName}`;
+                        const bodyForm = new FormData();
+                        bodyForm.append('file_data', blob, attachmentName);
+                        fetch(getServerRoot(port) + urlPath, {
+                          method: 'POST',
+                          body: bodyForm
+                        }).then(async r => {
+                            if (r.status === 200) {
+                              const pages = (await r.json()).pages as any[];
+                              let attachmentContent: string;
+                              if (pages.length === 1)
+                                attachmentContent = pages[0].page_content;
+                              else
+                                attachmentContent = pages.map((p, i) => `Page ${i + 1}:\n${p.page_content}`).join('\n\n');
+                              if (attachmentContent)
+                                commonStore.setCurrentTempAttachment(
+                                  {
+                                    name: attachmentName!,
+                                    size: blob.size,
+                                    content: attachmentContent!
+                                  });
+                              else
+                                toast(t('File is empty'), {
+                                  type: 'info',
+                                  autoClose: 1000
+                                });
+                            } else {
+                              toast(r.statusText + '\n' + (await r.text()), {
+                                type: 'error'
+                              });
+                            }
+                          }
+                        ).catch(e => {
+                          toast(t('Error') + ' - ' + (e.message || e), { type: 'error', autoClose: 2500 });
+                        }).finally(() => {
+                          commonStore.setAttachmentUploading(false);
+                        });
+                      }).catch(e => {
+                        toast(t('Error') + ' - ' + (e.message || e), { type: 'error', autoClose: 2500 });
+                      });
+                    }
+                  }}
+                /> :
+                <div>
+                  <ToolTipButton
+                    text={
+                      commonStore.currentTempAttachment.name.replace(
+                        new RegExp('(^[^\\.]{5})[^\\.]+'), '$1...')
+                    }
+                    desc={`${commonStore.currentTempAttachment.name} (${bytesToReadable(commonStore.currentTempAttachment.size)})`}
+                    size="small" shape="circular" appearance="secondary" />
+                  <ToolTipButton desc={t('Remove Attachment')}
+                    icon={<Dismiss16Regular />}
+                    size="small" shape="circular" appearance="subtle"
+                    onClick={() => {
+                      commonStore.setCurrentTempAttachment(null);
+                    }} />
+                </div>
+              }
+            </div>
+          </div>
+          <ToolTipButton desc={generating ? t('Stop') : t('Send')}
+            icon={generating ? <RecordStop28Regular /> : <ArrowCircleUp28Regular />}
+            size={mq ? 'large' : 'small'} shape="circular" appearance="subtle"
+            onClick={(e) => {
+              if (generating) {
+                for (const id in chatSseControllers) {
+                  chatSseControllers[id].abort();
+                  commonStore.conversation[id].type = MessageType.Error;
+                  commonStore.conversation[id].done = true;
+                }
+                chatSseControllers = {};
+                commonStore.setConversation(commonStore.conversation);
+                commonStore.setConversationOrder([...commonStore.conversationOrder]);
+              } else {
+                handleKeyDownOrClick(e);
+              }
+            }} />
+        </div>
       </div>
+      <SidePanel />
     </div>
   );
 });
 
-export const Chat: FC = observer(() => {
+const Chat: FC = observer(() => {
   return (
     <div className="flex flex-col gap-1 p-2 h-full overflow-hidden">
       <WorkHeader />
@@ -568,3 +689,5 @@ export const Chat: FC = observer(() => {
     </div>
   );
 });
+
+export default Chat;

frontend/src/pages/Completion.tsx

@@ -5,7 +5,6 @@ import { Button, Dropdown, Input, Option, Textarea } from '@fluentui/react-compo
 import { Labeled } from '../components/Labeled';
 import { ValuedSlider } from '../components/ValuedSlider';
 import { useTranslation } from 'react-i18next';
-import { ApiParameters } from './Configs';
 import commonStore, { ModelStatus } from '../stores/commonStore';
 import { fetchEventSource } from '@microsoft/fetch-event-source';
 import { toast } from 'react-toastify';
@@ -14,18 +13,8 @@ import { PresetsButton } from './PresetsManager/PresetsButton';
 import { ToolTipButton } from '../components/ToolTipButton';
 import { ArrowSync20Regular } from '@fluentui/react-icons';
 import { defaultPresets } from './defaultConfigs';
-
-export type CompletionParams = Omit<ApiParameters, 'apiPort'> & {
-  stop: string,
-  injectStart: string,
-  injectEnd: string
-};
-
-export type CompletionPreset = {
-  name: string,
-  prompt: string,
-  params: CompletionParams
-}
+import { CompletionParams, CompletionPreset } from '../types/completion';
+import { getServerRoot } from '../utils';
 
 let completionSseController: AbortController | null = null;
 
@@ -40,8 +29,10 @@ const CompletionPanel: FC = observer(() => {
   };
 
   useEffect(() => {
-    if (inputRef.current)
+    if (inputRef.current) {
       inputRef.current.style.height = '100%';
+      inputRef.current.style.maxHeight = '100%';
+    }
     scrollToBottom();
   }, []);
 
@@ -80,7 +71,7 @@ const CompletionPanel: FC = observer(() => {
   const onSubmit = (prompt: string) => {
     commonStore.setCompletionSubmittedPrompt(prompt);
 
-    if (commonStore.status.status === ModelStatus.Offline && !commonStore.settings.apiUrl) {
+    if (commonStore.status.status === ModelStatus.Offline && !commonStore.settings.apiUrl && commonStore.platform !== 'web') {
       toast(t('Please click the button in the top right corner to start the model'), { type: 'warning' });
       commonStore.setCompletionGenerating(false);
       return;
@@ -90,10 +81,8 @@ const CompletionPanel: FC = observer(() => {
 
     let answer = '';
     completionSseController = new AbortController();
-    fetchEventSource( // https://api.openai.com/v1/completions || http://127.0.0.1:${port}/completions
-      commonStore.settings.apiUrl ?
-        commonStore.settings.apiUrl + '/v1/completions' :
-        `http://127.0.0.1:${port}/completions`,
+    fetchEventSource( // https://api.openai.com/v1/completions || http://127.0.0.1:${port}/v1/completions
+      getServerRoot(port, true) + '/v1/completions',
       {
         method: 'POST',
         headers: {
@@ -125,6 +114,8 @@ const CompletionPanel: FC = observer(() => {
             console.debug('json error', error);
             return;
           }
+          if (data.model)
+            commonStore.setLastModelName(data.model);
           if (data.choices && Array.isArray(data.choices) && data.choices.length > 0) {
             answer += data.choices[0]?.text || data.choices[0]?.delta?.content || '';
             setPrompt(prompt + answer.replace(/\s+$/, '') + params.injectEnd.replaceAll('\\n', '\n'));
@@ -186,7 +177,7 @@ const CompletionPanel: FC = observer(() => {
             desc={t('By default, the maximum number of tokens that can be answered in a single response, it can be changed by the user by specifying API parameters.')}
             content={
               <ValuedSlider value={params.maxResponseToken} min={100} max={8100}
-                step={400}
+                step={100}
                 input
                 onChange={(e, data) => {
                   setParams({
@@ -269,7 +260,7 @@ const CompletionPanel: FC = observer(() => {
             } />
         </div>
         <div className="grow" />
-        <div className="flex justify-between gap-2">
+        <div className="hidden justify-between gap-2 sm:flex">
           <Button className="grow" onClick={() => {
             const newPrompt = prompt.replace(/\n+\ /g, '\n').split('\n').map((line) => line.trim()).join('\n');
             setPrompt(newPrompt);
@@ -303,7 +294,7 @@ const CompletionPanel: FC = observer(() => {
   );
 });
 
-export const Completion: FC = observer(() => {
+const Completion: FC = observer(() => {
   return (
     <div className="flex flex-col gap-1 p-2 h-full overflow-hidden">
       <WorkHeader />
@@ -311,3 +302,5 @@ export const Completion: FC = observer(() => {
     </div>
   );
 });
+
+export default Completion;

frontend/src/pages/Composition.tsx

@@ -1,7 +1,8 @@
+import 'html-midi-player';
 import React, { FC, useEffect, useRef } from 'react';
 import { observer } from 'mobx-react-lite';
 import { WorkHeader } from '../components/WorkHeader';
-import { Button, Checkbox, Textarea } from '@fluentui/react-components';
+import { Button, Checkbox, Dropdown, Option, Textarea } from '@fluentui/react-components';
 import { Labeled } from '../components/Labeled';
 import { ValuedSlider } from '../components/ValuedSlider';
 import { useTranslation } from 'react-i18next';
@@ -15,24 +16,25 @@ import { PlayerElement, VisualizerElement } from 'html-midi-player';
 import * as mm from '@magenta/music/esm/core.js';
 import { NoteSequence } from '@magenta/music/esm/protobuf.js';
 import { defaultCompositionPrompt } from './defaultConfigs';
-import { FileExists, OpenFileFolder, OpenSaveFileDialogBytes } from '../../wailsjs/go/backend_golang/App';
-import { toastWithButton } from '../utils';
-
-export type CompositionParams = {
-  prompt: string,
-  maxResponseToken: number,
-  temperature: number,
-  topP: number,
-  autoPlay: boolean,
-  useLocalSoundFont: boolean,
-  midi: ArrayBuffer | null,
-  ns: NoteSequence | null
-}
+import {
+  CloseMidiPort,
+  FileExists,
+  OpenFileFolder,
+  OpenMidiPort,
+  OpenSaveFileDialogBytes,
+  SaveFile,
+  StartFile
+} from '../../wailsjs/go/backend_golang/App';
+import { getServerRoot, getSoundFont, toastWithButton } from '../utils';
+import { CompositionParams } from '../types/composition';
+import { useMediaQuery } from 'usehooks-ts';
+import { AudiotrackButton } from './AudiotrackManager/AudiotrackButton';
 
 let compositionSseController: AbortController | null = null;
 
 const CompositionPanel: FC = observer(() => {
   const { t } = useTranslation();
+  const mq = useMediaQuery('(min-width: 640px)');
   const inputRef = useRef<HTMLTextAreaElement>(null);
   const port = commonStore.getCurrentModelConfig().apiParameters.apiPort;
   const visualizerRef = useRef<VisualizerElement>(null);
@@ -71,26 +73,16 @@ const CompositionPanel: FC = observer(() => {
   };
 
   const setSoundFont = async () => {
-    let soundUrl: string;
-    if (commonStore.compositionParams.useLocalSoundFont)
-      soundUrl = 'assets/sound-font';
-    else
-      soundUrl = !commonStore.settings.giteeUpdatesSource ?
-        `https://raw.githubusercontent.com/josStorer/sgm_plus/master` :
-        `https://gitee.com/josc146/sgm_plus/raw/master`;
-    const fallbackUrl = 'https://cdn.jsdelivr.net/gh/josstorer/sgm_plus';
-    await fetch(soundUrl + '/soundfont.json').then(r => {
-      if (!r.ok)
-        soundUrl = fallbackUrl;
-    }).catch(() => soundUrl = fallbackUrl);
     if (playerRef.current) {
-      playerRef.current.soundFont = soundUrl;
+      playerRef.current.soundFont = await getSoundFont();
     }
   };
 
   useEffect(() => {
-    if (inputRef.current)
+    if (inputRef.current) {
       inputRef.current.style.height = '100%';
+      inputRef.current.style.maxHeight = '100%';
+    }
     scrollToBottom();
 
     if (playerRef.current && visualizerRef.current) {
@@ -108,10 +100,40 @@ const CompositionPanel: FC = observer(() => {
     }
   }, []);
 
+  const externalPlayListener = () => {
+    const params = commonStore.compositionParams;
+    const saveAndPlay = async (midi: ArrayBuffer, path: string) => {
+      await SaveFile(path, Array.from(new Uint8Array(midi)));
+      StartFile(path);
+    };
+    if (params.externalPlay) {
+      if (params.midi) {
+        setTimeout(() => {
+          playerRef.current?.stop();
+        });
+        saveAndPlay(params.midi, './midi/last.mid').catch((e: string) => {
+          if (e.includes('being used'))
+            saveAndPlay(params.midi!, './midi/last-2.mid');
+        });
+      }
+    }
+  };
+  useEffect(() => {
+    playerRef.current?.addEventListener('start', externalPlayListener);
+    return () => {
+      playerRef.current?.removeEventListener('start', externalPlayListener);
+    };
+  }, [params.externalPlay]);
+
+  useEffect(() => {
+    if (!(commonStore.activeMidiDeviceIndex in commonStore.midiPorts)) {
+      commonStore.setActiveMidiDeviceIndex(-1);
+      CloseMidiPort();
+    }
+  }, [commonStore.midiPorts]);
+
   const generateNs = (autoPlay: boolean) => {
-    fetch(commonStore.settings.apiUrl ?
-      commonStore.settings.apiUrl + '/text-to-midi' :
-      `http://127.0.0.1:${port}/text-to-midi`, {
+    fetch(getServerRoot(port) + '/text-to-midi', {
       method: 'POST',
       headers: {
         'Content-Type': 'application/json'
@@ -128,7 +150,16 @@ const CompositionPanel: FC = observer(() => {
         });
         updateNs(ns);
         if (autoPlay) {
-          playerRef.current?.start();
+          if (commonStore.compositionParams.externalPlay)
+            externalPlayListener();
+          else {
+            if (commonStore.compositionParams.playOnlyGeneratedContent && playerRef.current) {
+              playerRef.current.currentTime = Math.max(commonStore.compositionParams.generationStartTime - 1, 0);
+            }
+            setTimeout(() => {
+              playerRef.current?.start();
+            });
+          }
         }
       });
     });
@@ -137,7 +168,7 @@ const CompositionPanel: FC = observer(() => {
   const onSubmit = (prompt: string) => {
     commonStore.setCompositionSubmittedPrompt(prompt);
 
-    if (commonStore.status.status === ModelStatus.Offline && !commonStore.settings.apiUrl) {
+    if (commonStore.status.status === ModelStatus.Offline && !commonStore.settings.apiUrl && commonStore.platform !== 'web') {
       toast(t('Please click the button in the top right corner to start the model'), { type: 'warning' });
       commonStore.setCompositionGenerating(false);
       return;
@@ -145,10 +176,8 @@ const CompositionPanel: FC = observer(() => {
 
     let answer = '';
     compositionSseController = new AbortController();
-    fetchEventSource( // https://api.openai.com/v1/completions || http://127.0.0.1:${port}/completions
-      commonStore.settings.apiUrl ?
-        commonStore.settings.apiUrl + '/v1/completions' :
-        `http://127.0.0.1:${port}/completions`,
+    fetchEventSource( // https://api.openai.com/v1/completions || http://127.0.0.1:${port}/v1/completions
+      getServerRoot(port, true) + '/v1/completions',
       {
         method: 'POST',
         headers: {
@@ -178,6 +207,8 @@ const CompositionPanel: FC = observer(() => {
             console.debug('json error', error);
             return;
           }
+          if (data.model)
+            commonStore.setLastModelName(data.model);
           if (data.choices && Array.isArray(data.choices) && data.choices.length > 0) {
             answer += data.choices[0]?.text || data.choices[0]?.delta?.content || '';
             setPrompt(prompt + answer.replace(/\s+$/, ''));
@@ -217,62 +248,118 @@ const CompositionPanel: FC = observer(() => {
             setPrompt(e.target.value);
           }}
         />
-        <div className="flex flex-col gap-1 max-h-48 sm:max-w-sm sm:max-h-full overflow-x-hidden overflow-y-auto p-1">
-          <Labeled flex breakline label={t('Max Response Token')}
-            desc={t('By default, the maximum number of tokens that can be answered in a single response, it can be changed by the user by specifying API parameters.')}
-            content={
-              <ValuedSlider value={params.maxResponseToken} min={100} max={4100}
-                step={100}
-                input
-                onChange={(e, data) => {
+        <div className="flex flex-col gap-1 max-h-48 sm:max-w-sm sm:max-h-full">
+          <div className="flex flex-col gap-1 grow overflow-x-hidden overflow-y-auto p-1">
+            <Labeled flex breakline label={t('Max Response Token')}
+              desc={t('By default, the maximum number of tokens that can be answered in a single response, it can be changed by the user by specifying API parameters.')}
+              content={
+                <ValuedSlider value={params.maxResponseToken} min={100} max={4100}
+                  step={100}
+                  input
+                  onChange={(e, data) => {
+                    setParams({
+                      maxResponseToken: data.value
+                    });
+                  }} />
+              } />
+            <Labeled flex breakline label={t('Temperature')}
+              desc={t('Sampling temperature, it\'s like giving alcohol to a model, the higher the stronger the randomness and creativity, while the lower, the more focused and deterministic it will be.')}
+              content={
+                <ValuedSlider value={params.temperature} min={0} max={2} step={0.1}
+                  input
+                  onChange={(e, data) => {
+                    setParams({
+                      temperature: data.value
+                    });
+                  }} />
+              } />
+            <Labeled flex breakline label={t('Top_P')}
+              desc={t('Just like feeding sedatives to the model. Consider the results of the top n% probability mass, 0.1 considers the top 10%, with higher quality but more conservative, 1 considers all results, with lower quality but more diverse.')}
+              content={
+                <ValuedSlider value={params.topP} min={0} max={1} step={0.1} input
+                  onChange={(e, data) => {
+                    setParams({
+                      topP: data.value
+                    });
+                  }} />
+              } />
+            <div className="grow" />
+            {
+              commonStore.platform !== 'web' &&
+              <Checkbox className="select-none"
+                size="large" label={t('Use Local Sound Font')} checked={params.useLocalSoundFont}
+                onChange={async (_, data) => {
+                  if (data.checked) {
+                    if (!await FileExists('assets/sound-font/accordion/instrument.json')) {
+                      toast(t('Failed to load local sound font, please check if the files exist - assets/sound-font'),
+                        { type: 'warning' });
+                      return;
+                    }
+                  }
                   setParams({
-                    maxResponseToken: data.value
+                    useLocalSoundFont: data.checked as boolean
+                  });
+                  setSoundFont();
+                }} />
+            }
+            {
+              commonStore.platform === 'windows' &&
+              <Checkbox className="select-none"
+                size="large" label={t('Play With External Player')} checked={params.externalPlay}
+                onChange={async (_, data) => {
+                  setParams({
+                    externalPlay: data.checked as boolean
                   });
                 }} />
-            } />
-          <Labeled flex breakline label={t('Temperature')}
-            desc={t('Sampling temperature, it\'s like giving alcohol to a model, the higher the stronger the randomness and creativity, while the lower, the more focused and deterministic it will be.')}
-            content={
-              <ValuedSlider value={params.temperature} min={0} max={2} step={0.1}
-                input
-                onChange={(e, data) => {
-                  setParams({
-                    temperature: data.value
-                  });
-                }} />
-            } />
-          <Labeled flex breakline label={t('Top_P')}
-            desc={t('Just like feeding sedatives to the model. Consider the results of the top n% probability mass, 0.1 considers the top 10%, with higher quality but more conservative, 1 considers all results, with lower quality but more diverse.')}
-            content={
-              <ValuedSlider value={params.topP} min={0} max={1} step={0.1} input
-                onChange={(e, data) => {
-                  setParams({
-                    topP: data.value
-                  });
-                }} />
-            } />
-          <div className="grow" />
-          <Checkbox className="select-none"
-            size="large" label={t('Use Local Sound Font')} checked={params.useLocalSoundFont}
-            onChange={async (_, data) => {
-              if (data.checked) {
-                if (!await FileExists('assets/sound-font/accordion/instrument.json')) {
-                  toast(t('Failed to load local sound font, please check if the files exist - assets/sound-font'),
-                    { type: 'warning' });
-                  return;
-                }
-              }
+            }
+            <Checkbox className="select-none"
+              size="large" label={t('Auto Play At The End')} checked={params.autoPlay} onChange={(_, data) => {
               setParams({
-                useLocalSoundFont: data.checked as boolean
+                autoPlay: data.checked as boolean
               });
-              setSoundFont();
             }} />
-          <Checkbox className="select-none"
-            size="large" label={t('Auto Play At The End')} checked={params.autoPlay} onChange={(_, data) => {
-            setParams({
-              autoPlay: data.checked as boolean
-            });
-          }} />
+            <Checkbox className="select-none"
+              size="large" label={t('Only Auto Play Generated Content')} checked={params.playOnlyGeneratedContent}
+              onChange={async (_, data) => {
+                setParams({
+                  autoPlay: data.checked as boolean || commonStore.compositionParams.autoPlay,
+                  playOnlyGeneratedContent: data.checked as boolean
+                });
+              }} />
+            <Labeled flex breakline label={t('MIDI Input')}
+              desc={t('Select the MIDI input device to be used.')}
+              content={
+                <div className="flex flex-col gap-1">
+                  {
+                    commonStore.platform !== 'web' &&
+                    <Dropdown style={{ minWidth: 0 }}
+                      value={(commonStore.activeMidiDeviceIndex === -1 || !(commonStore.activeMidiDeviceIndex in commonStore.midiPorts))
+                        ? t('None')!
+                        : commonStore.midiPorts[commonStore.activeMidiDeviceIndex].name}
+                      selectedOptions={[commonStore.activeMidiDeviceIndex.toString()]}
+                      onOptionSelect={(_, data) => {
+                        if (data.optionValue) {
+                          const index = Number(data.optionValue);
+                          let action = (index === -1)
+                            ? () => CloseMidiPort()
+                            : () => OpenMidiPort(index);
+                          action().then(() => {
+                            commonStore.setActiveMidiDeviceIndex(index);
+                          }).catch((e) => {
+                            toast(t('Error') + ' - ' + (e.message || e), { type: 'error', autoClose: 2500 });
+                          });
+                        }
+                      }}>
+                      <Option value={'-1'}>{t('None')!}</Option>
+                      {commonStore.midiPorts.map((p, i) =>
+                        <Option key={i} value={i.toString()}>{p.name}</Option>)
+                      }
+                    </Dropdown>
+                  }
+                  <AudiotrackButton setPrompt={setPrompt} />
+                </div>
+              } />
+          </div>
           <div className="flex justify-between gap-2">
             <ToolTipButton desc={t('Regenerate')} icon={<ArrowSync20Regular />} onClick={() => {
               compositionSseController?.abort();
@@ -284,6 +371,9 @@ const CompositionPanel: FC = observer(() => {
               contentText={t('Are you sure you want to reset this page? It cannot be undone.')}
               onConfirm={() => {
                 commonStore.setCompositionSubmittedPrompt(defaultCompositionPrompt);
+                setParams({
+                  generationStartTime: 0
+                });
                 setPrompt(defaultCompositionPrompt);
               }} />
             <Button className="grow" appearance="primary" onClick={() => {
@@ -293,6 +383,9 @@ const CompositionPanel: FC = observer(() => {
                 generateNs(params.autoPlay);
               } else {
                 commonStore.setCompositionGenerating(true);
+                setParams({
+                  generationStartTime: playerRef.current ? playerRef.current.duration : 0
+                });
                 onSubmit(params.prompt);
               }
             }}>{!commonStore.compositionGenerating ? t('Generate') : t('Stop')}</Button>
@@ -311,7 +404,7 @@ const CompositionPanel: FC = observer(() => {
             ref={playerRef}
             style={{ width: '100%' }}
           />
-          <Button icon={<Save28Regular />}
+          <Button icon={<Save28Regular />} size={mq ? 'large' : 'medium'} appearance={mq ? 'secondary' : 'subtle'}
             onClick={() => {
               if (params.midi) {
                 OpenSaveFileDialogBytes('*.mid', 'music.mid', Array.from(new Uint8Array(params.midi))).then((path) => {
@@ -327,7 +420,7 @@ const CompositionPanel: FC = observer(() => {
               }
             }}
           >
-            {t('Save')}
+            {mq ? t('Save') : ''}
           </Button>
         </div>
       </div>
@@ -335,7 +428,7 @@ const CompositionPanel: FC = observer(() => {
   );
 });
 
-export const Composition: FC = observer(() => {
+const Composition: FC = observer(() => {
   return (
     <div className="flex flex-col gap-1 p-2 h-full overflow-hidden">
       <WorkHeader />
@@ -343,3 +436,5 @@ export const Composition: FC = observer(() => {
     </div>
   );
 });
+
+export default Composition;

frontend/src/pages/Configs.tsx

@@ -8,12 +8,13 @@ import {
   Input,
   Label,
   Option,
+  PresenceBadge,
   Select,
   Switch,
   Text
 } from '@fluentui/react-components';
 import { AddCircle20Regular, DataUsageSettings20Regular, Delete20Regular, Save20Regular } from '@fluentui/react-icons';
-import React, { FC, useEffect, useRef } from 'react';
+import React, { FC, useCallback, useEffect, useRef } from 'react';
 import { Section } from '../components/Section';
 import { Labeled } from '../components/Labeled';
 import { ToolTipButton } from '../components/ToolTipButton';
@@ -26,48 +27,41 @@ import { Page } from '../components/Page';
 import { useNavigate } from 'react-router';
 import { RunButton } from '../components/RunButton';
 import { updateConfig } from '../apis';
-import { ConvertModel, ConvertSafetensors, FileExists, GetPyError } from '../../wailsjs/go/backend_golang/App';
-import { checkDependencies, getStrategy } from '../utils';
+import { getStrategy } from '../utils';
 import { useTranslation } from 'react-i18next';
-import { WindowShow } from '../../wailsjs/runtime/runtime';
 import strategyImg from '../assets/images/strategy.jpg';
 import strategyZhImg from '../assets/images/strategy_zh.jpg';
 import { ResetConfigsButton } from '../components/ResetConfigsButton';
 import { useMediaQuery } from 'usehooks-ts';
+import { ApiParameters, Device, ModelParameters, Precision } from '../types/configs';
+import { convertModel, convertToGGML, convertToSt } from '../utils/convert-model';
 
-export type ApiParameters = {
-  apiPort: number
-  maxResponseToken: number;
-  temperature: number;
-  topP: number;
-  presencePenalty: number;
-  frequencyPenalty: number;
-}
+const ConfigSelector: FC<{
+  selectedIndex: number,
+  updateSelectedIndex: (i: number) => void
+}> = observer(({ selectedIndex, updateSelectedIndex }) => {
+  return (
+    <Dropdown style={{ minWidth: 0 }} className="grow" value={commonStore.modelConfigs[selectedIndex].name}
+      selectedOptions={[selectedIndex.toString()]}
+      onOptionSelect={(_, data) => {
+        if (data.optionValue) {
+          updateSelectedIndex(Number(data.optionValue));
+        }
+      }}>
+      {commonStore.modelConfigs.map((config, index) => <Option key={index} value={index.toString()}
+          text={config.name}>
+          <div className="flex justify-between grow">
+            {config.name}
+            {commonStore.modelSourceList.find(item => item.name === config.modelParameters.modelName)?.isComplete
+              && <PresenceBadge status="available" />}
+          </div>
+        </Option>
+      )}
+    </Dropdown>
+  );
+});
 
-export type Device = 'CPU' | 'CUDA' | 'CUDA-Beta' | 'WebGPU' | 'MPS' | 'Custom';
-export type Precision = 'fp16' | 'int8' | 'fp32';
-
-export type ModelParameters = {
-  // different models can not have the same name
-  modelName: string;
-  device: Device;
-  precision: Precision;
-  storedLayers: number;
-  maxStoredLayers: number;
-  useCustomCuda?: boolean;
-  customStrategy?: string;
-  useCustomTokenizer?: boolean;
-  customTokenizer?: string;
-}
-
-export type ModelConfig = {
-  // different configs can have the same name
-  name: string;
-  apiParameters: ApiParameters
-  modelParameters: ModelParameters
-}
-
-export const Configs: FC = observer(() => {
+const Configs: FC = observer(() => {
   const { t } = useTranslation();
   const [selectedIndex, setSelectedIndex] = React.useState(commonStore.currentModelConfigIndex);
   const [selectedConfig, setSelectedConfig] = React.useState(commonStore.modelConfigs[selectedIndex]);
@@ -82,13 +76,13 @@ export const Configs: FC = observer(() => {
       (advancedHeaderRef.current.firstElementChild as HTMLElement).style.padding = '0';
   }, []);
 
-  const updateSelectedIndex = (newIndex: number) => {
+  const updateSelectedIndex = useCallback((newIndex: number) => {
     setSelectedIndex(newIndex);
     setSelectedConfig(commonStore.modelConfigs[newIndex]);
 
     // if you don't want to update the config used by the current startup in real time, comment out this line
     commonStore.setCurrentConfigIndex(newIndex);
-  };
+  }, []);
 
   const setSelectedConfigName = (newName: string) => {
     setSelectedConfig({ ...selectedConfig, name: newName });
@@ -128,17 +122,7 @@ export const Configs: FC = observer(() => {
     <Page title={t('Configs')} content={
       <div className="flex flex-col gap-2 overflow-hidden">
         <div className="flex gap-2 items-center">
-          <Dropdown style={{ minWidth: 0 }} className="grow" value={commonStore.modelConfigs[selectedIndex].name}
-            selectedOptions={[selectedIndex.toString()]}
-            onOptionSelect={(_, data) => {
-              if (data.optionValue) {
-                updateSelectedIndex(Number(data.optionValue));
-              }
-            }}>
-            {commonStore.modelConfigs.map((config, index) =>
-              <Option key={index} value={index.toString()}>{config.name}</Option>
-            )}
-          </Dropdown>
+          <ConfigSelector selectedIndex={selectedIndex} updateSelectedIndex={updateSelectedIndex} />
           <ToolTipButton desc={t('New Config')} icon={<AddCircle20Regular />} onClick={() => {
             commonStore.createModelConfig();
             updateSelectedIndex(commonStore.modelConfigs.length - 1);
@@ -181,7 +165,7 @@ export const Configs: FC = observer(() => {
                   desc={t('By default, the maximum number of tokens that can be answered in a single response, it can be changed by the user by specifying API parameters.')}
                   content={
                     <ValuedSlider value={selectedConfig.apiParameters.maxResponseToken} min={100} max={8100}
-                      step={400}
+                      step={100}
                       input
                       onChange={(e, data) => {
                         setSelectedConfigApiParams({
@@ -244,9 +228,18 @@ export const Configs: FC = observer(() => {
                     <Select style={{ minWidth: 0 }} className="grow"
                       value={selectedConfig.modelParameters.modelName}
                       onChange={(e, data) => {
-                        setSelectedConfigModelParams({
-                          modelName: data.value
-                        });
+                        const modelSource = commonStore.modelSourceList.find(item => item.name === data.value);
+                        if (modelSource?.customTokenizer)
+                          setSelectedConfigModelParams({
+                            modelName: data.value,
+                            useCustomTokenizer: true,
+                            customTokenizer: modelSource?.customTokenizer
+                          });
+                        else // prevent customTokenizer from being overwritten
+                          setSelectedConfigModelParams({
+                            modelName: data.value,
+                            useCustomTokenizer: false
+                          });
                       }}>
                       {!commonStore.modelSourceList.find(item => item.name === selectedConfig.modelParameters.modelName)?.isComplete
                         && <option key={-1}
@@ -262,82 +255,17 @@ export const Configs: FC = observer(() => {
                   </div>
                 } />
                 {
-                  selectedConfig.modelParameters.device !== 'WebGPU' ?
-                    <ToolTipButton text={t('Convert')}
-                      desc={t('Convert model with these configs. Using a converted model will greatly improve the loading speed, but model parameters of the converted model cannot be modified.')}
-                      onClick={async () => {
-                        if (commonStore.platform === 'darwin') {
-                          toast(t('MacOS is not yet supported for performing this operation, please do it manually.') + ' (backend-python/convert_model.py)', { type: 'info' });
-                          return;
-                        } else if (commonStore.platform === 'linux') {
-                          toast(t('Linux is not yet supported for performing this operation, please do it manually.') + ' (backend-python/convert_model.py)', { type: 'info' });
-                          return;
-                        }
-
-                        const ok = await checkDependencies(navigate);
-                        if (!ok)
-                          return;
-
-                        const modelPath = `${commonStore.settings.customModelsPath}/${selectedConfig.modelParameters.modelName}`;
-                        if (await FileExists(modelPath)) {
-                          const strategy = getStrategy(selectedConfig);
-                          const newModelPath = modelPath + '-' + strategy.replace(/[:> *+]/g, '-');
-                          toast(t('Start Converting'), { autoClose: 1000, type: 'info' });
-                          ConvertModel(commonStore.settings.customPythonPath, modelPath, strategy, newModelPath).then(async () => {
-                            if (!await FileExists(newModelPath + '.pth')) {
-                              toast(t('Convert Failed') + ' - ' + await GetPyError(), { type: 'error' });
-                            } else {
-                              toast(`${t('Convert Success')} - ${newModelPath}`, { type: 'success' });
-                            }
-                          }).catch(e => {
-                            const errMsg = e.message || e;
-                            if (errMsg.includes('path contains space'))
-                              toast(`${t('Convert Failed')} - ${t('File Path Cannot Contain Space')}`, { type: 'error' });
-                            else
-                              toast(`${t('Convert Failed')} - ${e.message || e}`, { type: 'error' });
-                          });
-                          setTimeout(WindowShow, 1000);
-                        } else {
-                          toast(`${t('Model Not Found')} - ${modelPath}`, { type: 'error' });
-                        }
-                      }} /> :
-                    <ToolTipButton text={t('Convert To Safe Tensors Format')}
+                  !selectedConfig.modelParameters.device.startsWith('WebGPU') ?
+                    (selectedConfig.modelParameters.device !== 'CPU (rwkv.cpp)' ?
+                      <ToolTipButton text={t('Convert')}
+                        desc={t('Convert model with these configs. Using a converted model will greatly improve the loading speed, but model parameters of the converted model cannot be modified.')}
+                        onClick={() => convertModel(selectedConfig, navigate)} /> :
+                      <ToolTipButton text={t('Convert To GGML Format')}
+                        desc=""
+                        onClick={() => convertToGGML(selectedConfig, navigate)} />)
+                    : <ToolTipButton text={t('Convert To Safe Tensors Format')}
                       desc=""
-                      onClick={async () => {
-                        if (commonStore.platform === 'darwin') {
-                          toast(t('MacOS is not yet supported for performing this operation, please do it manually.') + ' (backend-python/convert_safetensors.py)', { type: 'info' });
-                          return;
-                        } else if (commonStore.platform === 'linux') {
-                          toast(t('Linux is not yet supported for performing this operation, please do it manually.') + ' (backend-python/convert_safetensors.py)', { type: 'info' });
-                          return;
-                        }
-
-                        const ok = await checkDependencies(navigate);
-                        if (!ok)
-                          return;
-
-                        const modelPath = `${commonStore.settings.customModelsPath}/${selectedConfig.modelParameters.modelName}`;
-                        if (await FileExists(modelPath)) {
-                          toast(t('Start Converting'), { autoClose: 1000, type: 'info' });
-                          const newModelPath = modelPath.replace(/\.pth$/, '.st');
-                          ConvertSafetensors(commonStore.settings.customPythonPath, modelPath, newModelPath).then(async () => {
-                            if (!await FileExists(newModelPath)) {
-                              toast(t('Convert Failed') + ' - ' + await GetPyError(), { type: 'error' });
-                            } else {
-                              toast(`${t('Convert Success')} - ${newModelPath}`, { type: 'success' });
-                            }
-                          }).catch(e => {
-                            const errMsg = e.message || e;
-                            if (errMsg.includes('path contains space'))
-                              toast(`${t('Convert Failed')} - ${t('File Path Cannot Contain Space')}`, { type: 'error' });
-                            else
-                              toast(`${t('Convert Failed')} - ${e.message || e}`, { type: 'error' });
-                          });
-                          setTimeout(WindowShow, 1000);
-                        } else {
-                          toast(`${t('Model Not Found')} - ${modelPath}`, { type: 'error' });
-                        }
-                      }} />
+                      onClick={() => convertToSt(selectedConfig, navigate)} />
                 }
                 <Labeled label={t('Strategy')} content={
                   <Dropdown style={{ minWidth: 0 }} className="grow" value={t(selectedConfig.modelParameters.device)!}
@@ -350,18 +278,21 @@ export const Configs: FC = observer(() => {
                       }
                     }}>
                     <Option value="CPU">CPU</Option>
+                    <Option value="CPU (rwkv.cpp)">{t('CPU (rwkv.cpp, Faster)')!}</Option>
                     {commonStore.platform === 'darwin' && <Option value="MPS">MPS</Option>}
                     <Option value="CUDA">CUDA</Option>
                     <Option value="CUDA-Beta">{t('CUDA (Beta, Faster)')!}</Option>
                     <Option value="WebGPU">WebGPU</Option>
+                    <Option value="WebGPU (Python)">WebGPU (Python)</Option>
                     <Option value="Custom">{t('Custom')!}</Option>
                   </Dropdown>
                 } />
                 {
                   selectedConfig.modelParameters.device !== 'Custom' && <Labeled label={t('Precision')}
-                    desc={t('int8 uses less VRAM, but has slightly lower quality. fp16 has higher quality, and fp32 has the best quality.')}
+                    desc={t('int8 uses less VRAM, but has slightly lower quality. fp16 has higher quality.')}
                     content={
-                      <Dropdown style={{ minWidth: 0 }} className="grow"
+                      <Dropdown
+                        style={{ minWidth: 0 }} className="grow"
                         value={selectedConfig.modelParameters.precision}
                         selectedOptions={[selectedConfig.modelParameters.precision]}
                         onOptionSelect={(_, data) => {
@@ -371,19 +302,23 @@ export const Configs: FC = observer(() => {
                             });
                           }
                         }}>
-                        <Option>fp16</Option>
-                        <Option>int8</Option>
-                        {selectedConfig.modelParameters.device !== 'WebGPU' && <Option>fp32</Option>}
+                        {selectedConfig.modelParameters.device !== 'CPU' && selectedConfig.modelParameters.device !== 'MPS' &&
+                          <Option>fp16</Option>}
+                        {selectedConfig.modelParameters.device !== 'CPU (rwkv.cpp)' && <Option>int8</Option>}
+                        {selectedConfig.modelParameters.device.startsWith('WebGPU') && <Option>nf4</Option>}
+                        {selectedConfig.modelParameters.device !== 'CPU (rwkv.cpp)' && !selectedConfig.modelParameters.device.startsWith('WebGPU') &&
+                          <Option>fp32</Option>}
+                        {selectedConfig.modelParameters.device === 'CPU (rwkv.cpp)' && <Option>Q5_1</Option>}
                       </Dropdown>
                     } />
                 }
                 {
-                  selectedConfig.modelParameters.device.includes('CUDA') &&
+                  selectedConfig.modelParameters.device.startsWith('CUDA') &&
                   <Labeled label={t('Current Strategy')}
                     content={<Text> {getStrategy(selectedConfig)} </Text>} />
                 }
                 {
-                  selectedConfig.modelParameters.device.includes('CUDA') &&
+                  selectedConfig.modelParameters.device.startsWith('CUDA') &&
                   <Labeled label={t('Stored Layers')}
                     desc={t('Number of the neural network layers loaded into VRAM, the more you load, the faster the speed, but it consumes more VRAM. (If your VRAM is not enough, it will fail to load)')}
                     content={
@@ -396,7 +331,7 @@ export const Configs: FC = observer(() => {
                         }} />
                     } />
                 }
-                {selectedConfig.modelParameters.device.includes('CUDA') && <div />}
+                {selectedConfig.modelParameters.device.startsWith('CUDA') && <div />}
                 {
                   displayStrategyImg &&
                   <img style={{ width: '80vh', height: 'auto', zIndex: 100 }}
@@ -421,7 +356,7 @@ export const Configs: FC = observer(() => {
                 }
                 {selectedConfig.modelParameters.device === 'Custom' && <div />}
                 {
-                  (selectedConfig.modelParameters.device.includes('CUDA') || selectedConfig.modelParameters.device === 'Custom') &&
+                  (selectedConfig.modelParameters.device.startsWith('CUDA') || selectedConfig.modelParameters.device === 'Custom') &&
                   <Labeled label={t('Use Custom CUDA kernel to Accelerate')}
                     desc={t('Enabling this option can greatly improve inference speed and save some VRAM, but there may be compatibility issues (output garbled). If it fails to start, please turn off this option, or try to upgrade your gpu driver.')}
                     content={
@@ -454,7 +389,7 @@ export const Configs: FC = observer(() => {
                                 });
                               }} />
                             <Input className="grow"
-                              placeholder={t('Tokenizer Path (e.g. backend-python/rwkv_pip/20B_tokenizer.json)')!}
+                              placeholder={t('Tokenizer Path (e.g. backend-python/rwkv_pip/20B_tokenizer.json or rwkv_vocab_v20230424.txt)')!}
                               value={selectedConfig.modelParameters.customTokenizer}
                               onChange={(e, data) => {
                                 setSelectedConfigModelParams({
@@ -470,11 +405,26 @@ export const Configs: FC = observer(() => {
               </div>
             }
           />
+          {mq && <div style={{ minHeight: '30px' }} />}
         </div>
         <div className="flex flex-row-reverse sm:fixed bottom-2 right-2">
-          <RunButton onClickRun={onClickSave} />
+          <div className="flex gap-2">
+            {selectedConfig.modelParameters.device !== 'WebGPU'
+              && <Checkbox className="select-none"
+                size="large" label={t('Enable WebUI')}
+                checked={selectedConfig.enableWebUI}
+                onChange={(_, data) => {
+                  setSelectedConfig({
+                    ...selectedConfig,
+                    enableWebUI: data.checked as boolean
+                  });
+                }} />}
+            <RunButton onClickRun={onClickSave} />
+          </div>
         </div>
       </div>
     } />
   );
 });
+
+export default Configs;

frontend/src/pages/Downloads.tsx

@@ -9,19 +9,7 @@ import { ToolTipButton } from '../components/ToolTipButton';
 import { Folder20Regular, Pause20Regular, Play20Regular } from '@fluentui/react-icons';
 import { AddToDownloadList, OpenFileFolder, PauseDownload } from '../../wailsjs/go/backend_golang/App';
 
-export type DownloadStatus = {
-  name: string;
-  path: string;
-  url: string;
-  transferred: number;
-  size: number;
-  speed: number;
-  progress: number;
-  downloading: boolean;
-  done: boolean;
-}
-
-export const Downloads: FC = observer(() => {
+const Downloads: FC = observer(() => {
   const { t } = useTranslation();
   const finishedModelsLen = commonStore.downloadList.filter((status) => status.done && status.name.endsWith('.pth')).length;
   useEffect(() => {
@@ -91,3 +79,5 @@ export const Downloads: FC = observer(() => {
     } />
   );
 });
+
+export default Downloads;

frontend/src/pages/Home.tsx

@@ -1,11 +1,13 @@
 import { CompoundButton, Link, Text } from '@fluentui/react-components';
-import React, { FC, ReactElement } from 'react';
+import React, { FC } from 'react';
 import banner from '../assets/images/banner.jpg';
 import {
   Chat20Regular,
   ClipboardEdit20Regular,
   DataUsageSettings20Regular,
-  DocumentSettings20Regular
+  DocumentSettings20Regular,
+  MusicNote220Regular,
+  Settings20Regular
 } from '@fluentui/react-icons';
 import { useNavigate } from 'react-router';
 import { observer } from 'mobx-react-lite';
@@ -14,21 +16,13 @@ import manifest from '../../../manifest.json';
 import { BrowserOpenURL } from '../../wailsjs/runtime';
 import { useTranslation } from 'react-i18next';
 import { ConfigSelector } from '../components/ConfigSelector';
-import MarkdownRender from '../components/MarkdownRender';
 import commonStore from '../stores/commonStore';
-import { Completion } from './Completion';
 import { ResetConfigsButton } from '../components/ResetConfigsButton';
+import { AdvancedGeneralSettings } from './Settings';
+import { NavCard } from '../types/home';
+import { LazyImportComponent } from '../components/LazyImportComponent';
 
-export type IntroductionContent = { [lang: string]: string }
-
-type NavCard = {
-  label: string;
-  desc: string;
-  path: string;
-  icon: ReactElement;
-};
-
-const navCards: NavCard[] = [
+const clientNavCards: NavCard[] = [
   {
     label: 'Chat',
     desc: 'Go to chat page',
@@ -55,7 +49,36 @@ const navCards: NavCard[] = [
   }
 ];
 
-export const Home: FC = observer(() => {
+const webNavCards: NavCard[] = [
+  {
+    label: 'Chat',
+    desc: 'Go to chat page',
+    path: '/chat',
+    icon: <Chat20Regular />
+  },
+  {
+    label: 'Completion',
+    desc: 'Writer, Translator, Role-playing',
+    path: '/completion',
+    icon: <ClipboardEdit20Regular />
+  },
+  {
+    label: 'Composition',
+    desc: '',
+    path: '/composition',
+    icon: <MusicNote220Regular />
+  },
+  {
+    label: 'Settings',
+    desc: '',
+    path: '/settings',
+    icon: <Settings20Regular />
+  }
+];
+
+const MarkdownRender = React.lazy(() => import('../components/MarkdownRender'));
+
+const Home: FC = observer(() => {
   const { t } = useTranslation();
   const navigate = useNavigate();
   const lang: string = commonStore.settings.language;
@@ -64,39 +87,64 @@ export const Home: FC = observer(() => {
     navigate({ pathname: path });
   };
 
-  return (
-    <div className="flex flex-col justify-between h-full">
-      <img className="rounded-xl select-none hidden sm:block"
-        style={{ maxHeight: '40%', margin: '0 auto' }} src={banner} />
-      <div className="flex flex-col gap-2">
-        <Text size={600} weight="medium">{t('Introduction')}</Text>
-        <div className="h-40 overflow-y-auto overflow-x-hidden p-1">
-          <MarkdownRender>
-            {lang in commonStore.introduction ? commonStore.introduction[lang] : commonStore.introduction['en']}
-          </MarkdownRender>
+  return commonStore.platform === 'web' ?
+    (
+      <div className="flex flex-col gap-2 h-full overflow-x-hidden overflow-y-auto">
+        <img className="rounded-xl select-none object-cover grow"
+          style={{ maxHeight: '40%' }} src={banner} />
+        <div className="grow"></div>
+        <div className="grid grid-cols-2 sm:grid-cols-4 gap-5">
+          {webNavCards.map(({ label, path, icon, desc }, index) => (
+            <CompoundButton icon={icon} secondaryContent={t(desc)} key={`${path}-${index}`} value={path}
+              size="large" onClick={() => onClickNavCard(path)}>
+              {t(label)}
+            </CompoundButton>
+          ))}
         </div>
-      </div>
-      <div className="grid grid-cols-2 sm:grid-cols-4 gap-5">
-        {navCards.map(({ label, path, icon, desc }, index) => (
-          <CompoundButton icon={icon} secondaryContent={t(desc)} key={`${path}-${index}`} value={path}
-            size="large" onClick={() => onClickNavCard(path)}>
-            {t(label)}
-          </CompoundButton>
-        ))}
-      </div>
-      <div className="flex flex-col gap-2">
-        <div className="flex flex-row-reverse sm:fixed bottom-2 right-2">
-          <div className="flex gap-3">
-            <ResetConfigsButton />
-            <ConfigSelector />
-            <RunButton />
+        <div className="flex flex-col gap-2">
+          <AdvancedGeneralSettings />
+          <div className="flex gap-4 items-end">
+            {t('Version')}: {manifest.version}
+            <Link onClick={() => BrowserOpenURL('https://github.com/josStorer/RWKV-Runner')}>{t('Help')}</Link>
           </div>
         </div>
-        <div className="flex gap-4 items-end">
-          {t('Version')}: {manifest.version}
-          <Link onClick={() => BrowserOpenURL('https://github.com/josStorer/RWKV-Runner')}>{t('Help')}</Link>
+      </div>
+    )
+    : (
+      <div className="flex flex-col justify-between h-full">
+        <img className="rounded-xl select-none object-cover hidden sm:block"
+          style={{ maxHeight: '40%' }} src={banner} />
+        <div className="flex flex-col gap-2">
+          <Text size={600} weight="medium">{t('Introduction')}</Text>
+          <div className="h-40 overflow-y-auto overflow-x-hidden p-1">
+            <LazyImportComponent lazyChildren={MarkdownRender}>
+              {lang in commonStore.introduction ? commonStore.introduction[lang] : commonStore.introduction['en']}
+            </LazyImportComponent>
+          </div>
+        </div>
+        <div className="grid grid-cols-2 sm:grid-cols-4 gap-5">
+          {clientNavCards.map(({ label, path, icon, desc }, index) => (
+            <CompoundButton icon={icon} secondaryContent={t(desc)} key={`${path}-${index}`} value={path}
+              size="large" onClick={() => onClickNavCard(path)}>
+              {t(label)}
+            </CompoundButton>
+          ))}
+        </div>
+        <div className="flex flex-col gap-2">
+          <div className="flex flex-row-reverse sm:fixed bottom-2 right-2">
+            <div className="flex gap-3">
+              <ResetConfigsButton />
+              <ConfigSelector />
+              <RunButton />
+            </div>
+          </div>
+          <div className="flex gap-4 items-end">
+            {t('Version')}: {manifest.version}
+            <Link onClick={() => BrowserOpenURL('https://github.com/josStorer/RWKV-Runner')}>{t('Help')}</Link>
+          </div>
         </div>
       </div>
-    </div>
-  );
+    );
 });
+
+export default Home;

frontend/src/pages/Models.tsx

@@ -1,5 +1,7 @@
-import React, { FC } from 'react';
+import React, { FC, useEffect, useState } from 'react';
 import {
+  Button,
+  Checkbox,
   createTableColumn,
   DataGrid,
   DataGridBody,
@@ -19,24 +21,10 @@ import commonStore from '../stores/commonStore';
 import { BrowserOpenURL } from '../../wailsjs/runtime';
 import { AddToDownloadList, OpenFileFolder } from '../../wailsjs/go/backend_golang/App';
 import { Page } from '../components/Page';
-import { bytesToGb, refreshModels, saveConfigs, toastWithButton } from '../utils';
+import { bytesToGb, getHfDownloadUrl, refreshModels, saveConfigs, toastWithButton } from '../utils';
 import { useTranslation } from 'react-i18next';
 import { useNavigate } from 'react-router';
-
-export type ModelSourceItem = {
-  name: string;
-  size: number;
-  lastUpdated: string;
-  desc?: { [lang: string]: string | undefined; };
-  SHA256?: string;
-  url?: string;
-  downloadUrl?: string;
-  isComplete?: boolean;
-  isLocal?: boolean;
-  localSize?: number;
-  lastUpdatedMs?: number;
-  hide?: boolean;
-};
+import { ModelSourceItem } from '../types/models';
 
 const columns: TableColumnDefinition<ModelSourceItem>[] = [
   createTableColumn<ModelSourceItem>({
@@ -153,7 +141,7 @@ const columns: TableColumnDefinition<ModelSourceItem>[] = [
                     navigate({ pathname: '/downloads' });
                   },
                   { autoClose: 3000 });
-                AddToDownloadList(`${commonStore.settings.customModelsPath}/${item.name}`, item.downloadUrl!);
+                AddToDownloadList(`${commonStore.settings.customModelsPath}/${item.name}`, getHfDownloadUrl(item.downloadUrl!));
               }} />}
             {item.url && <ToolTipButton desc={t('Open Url')} icon={<Open20Regular />} onClick={() => {
               BrowserOpenURL(item.url!);
@@ -165,8 +153,33 @@ const columns: TableColumnDefinition<ModelSourceItem>[] = [
   })
 ];
 
-export const Models: FC = observer(() => {
+const getTags = () => {
+  return Array.from(new Set(
+    ['Recommended',
+      ...commonStore.modelSourceList.map(item => item.tags || []).flat()
+      .filter(i => !i.includes('Other') && !i.includes('Local'))
+      , 'Other', 'Local']));
+};
+
+const getCurrentModelList = () => {
+  if (commonStore.activeModelListTags.length === 0)
+    return commonStore.modelSourceList;
+  else
+    return commonStore.modelSourceList.filter(item => commonStore.activeModelListTags.some(tag => item.tags?.includes(tag)));
+};
+
+const Models: FC = observer(() => {
   const { t } = useTranslation();
+  const [tags, setTags] = useState<Array<string>>(getTags());
+  const [modelSourceList, setModelSourceList] = useState<ModelSourceItem[]>(getCurrentModelList());
+
+  useEffect(() => {
+    setTags(getTags());
+  }, [commonStore.modelSourceList]);
+
+  useEffect(() => {
+    setModelSourceList(getCurrentModelList());
+  }, [commonStore.modelSourceList, commonStore.activeModelListTags]);
 
   return (
     <Page title={t('Models')} content={
@@ -174,10 +187,21 @@ export const Models: FC = observer(() => {
         <div className="flex flex-col gap-1">
           <div className="flex justify-between items-center">
             <Text weight="medium">{t('Model Source Manifest List')}</Text>
-            <ToolTipButton desc={t('Refresh')} icon={<ArrowClockwise20Regular />} onClick={() => {
-              refreshModels(false);
-              saveConfigs();
-            }} />
+            <div className="flex">
+              {commonStore.settings.language === 'zh' &&
+                <Checkbox className="select-none"
+                  size="large" label={t('Use Hugging Face Mirror')}
+                  checked={commonStore.settings.useHfMirror}
+                  onChange={(_, data) => {
+                    commonStore.setSettings({
+                      useHfMirror: data.checked as boolean
+                    });
+                  }} />}
+              <ToolTipButton desc={t('Refresh')} icon={<ArrowClockwise20Regular />} onClick={() => {
+                refreshModels(false);
+                saveConfigs();
+              }} />
+            </div>
           </div>
           <Text size={100}>
             {t('Provide JSON file URLs for the models manifest. Separate URLs with semicolons. The "models" field in JSON files will be parsed into the following table.')}
@@ -186,9 +210,24 @@ export const Models: FC = observer(() => {
             value={commonStore.modelSourceManifestList}
             onChange={(e, data) => commonStore.setModelSourceManifestList(data.value)} />
         </div>
+        <div className="flex gap-2 flex-wrap overflow-y-auto" style={{ minHeight: '88px' }}>
+          {tags.map(tag =>
+            <div key={tag} className="mt-auto">
+              <Button
+                appearance={commonStore.activeModelListTags.includes(tag) ? 'primary' : 'secondary'} onClick={
+                () => {
+                  if (commonStore.activeModelListTags.includes(tag))
+                    commonStore.setActiveModelListTags(commonStore.activeModelListTags.filter(t => t !== tag));
+                  else
+                    commonStore.setActiveModelListTags([...commonStore.activeModelListTags, tag]);
+                }
+              }>{t(tag)}</Button>
+            </div>)
+          }
+        </div>
         <div className="flex grow overflow-hidden">
           <DataGrid
-            items={commonStore.modelSourceList}
+            items={modelSourceList}
             columns={columns}
             sortable={true}
             defaultSortState={{ sortColumn: 'actions', sortDirection: 'ascending' }}
@@ -220,3 +259,5 @@ export const Models: FC = observer(() => {
     } />
   );
 });
+
+export default Models;

frontend/src/pages/PresetsManager/MessagesEditor.tsx

@@ -1,14 +1,14 @@
 import React, { FC, useState } from 'react';
 import { DragDropContext, Draggable, Droppable, DropResult } from 'react-beautiful-dnd';
 import commonStore from '../../stores/commonStore';
-import { Preset } from './PresetsButton';
 import { observer } from 'mobx-react-lite';
 import { v4 as uuid } from 'uuid';
 import { Button, Card, Dropdown, Option, Textarea } from '@fluentui/react-components';
 import { useTranslation } from 'react-i18next';
 import { ToolTipButton } from '../../components/ToolTipButton';
 import { Delete20Regular, ReOrderDotsVertical20Regular } from '@fluentui/react-icons';
-import { ConversationMessage, Role } from '../Chat';
+import { Preset } from '../../types/presets';
+import { ConversationMessage, Role } from '../../types/chat';
 
 type Item = {
   id: string;
@@ -31,7 +31,7 @@ const reorder = (list: Item[], startIndex: number, endIndex: number) => {
   return result;
 };
 
-export const MessagesEditor: FC = observer(() => {
+const MessagesEditor: FC = observer(() => {
   const { t } = useTranslation();
 
   const editingPreset = commonStore.editingPreset!;
@@ -108,7 +108,8 @@ export const MessagesEditor: FC = observer(() => {
                             style={{ borderTopRightRadius: 0, borderBottomRightRadius: 0 }}>
                             <ReOrderDotsVertical20Regular />
                           </Card>
-                          <Dropdown style={{ minWidth: 0, borderRadius: 0 }} listbox={{ style: { minWidth: 0 } }}
+                          <Dropdown style={{ minWidth: 0, borderRadius: 0 }}
+                            listbox={{ style: { minWidth: 'fit-content' } }}
                             value={t(item.role)!}
                             selectedOptions={[item.role]}
                             onOptionSelect={(_, data) => {
@@ -152,3 +153,5 @@ export const MessagesEditor: FC = observer(() => {
     </div>
   );
 });
+
+export default MessagesEditor;

frontend/src/pages/PresetsManager/PresetsButton.tsx

@@ -1,6 +1,6 @@
 // TODO refactor
 
-import React, { FC, PropsWithChildren, ReactElement, useState } from 'react';
+import React, { FC, lazy, PropsWithChildren, ReactElement, useState } from 'react';
 import {
   Button,
   Dialog,
@@ -25,44 +25,19 @@ import {
 } from '@fluentui/react-icons';
 import { ToolTipButton } from '../../components/ToolTipButton';
 import { useTranslation } from 'react-i18next';
-import { botName, Conversation, ConversationMessage, MessageType, userName } from '../Chat';
 import { SelectTabEventHandler } from '@fluentui/react-tabs';
 import { Labeled } from '../../components/Labeled';
 import commonStore from '../../stores/commonStore';
 import logo from '../../assets/images/logo.png';
 import { observer } from 'mobx-react-lite';
-import { MessagesEditor } from './MessagesEditor';
 import { ClipboardGetText, ClipboardSetText } from '../../../wailsjs/runtime';
 import { toast } from 'react-toastify';
 import { CustomToastContainer } from '../../components/CustomToastContainer';
-import { v4 as uuid } from 'uuid';
-import { absPathAsset } from '../../utils';
+import { absPathAsset, setActivePreset } from '../../utils';
+import { Preset, PresetsNavigationItem } from '../../types/presets';
+import { LazyImportComponent } from '../../components/LazyImportComponent';
 
-export type PresetType = 'chat' | 'completion' | 'chatInCompletion'
-
-export type Preset = {
-  name: string,
-  tag: string,
-  // if name and sourceUrl are same, it will be overridden when importing
-  sourceUrl: string,
-  desc: string,
-  avatarImg: string,
-  type: PresetType,
-  // chat
-  welcomeMessage: string,
-  messages: ConversationMessage[],
-  displayPresetMessages: boolean,
-  // completion
-  prompt: string,
-  stop: string,
-  injectStart: string,
-  injectEnd: string,
-  presystem?: boolean,
-  userName?: string,
-  assistantName?: string
-}
-
-export const defaultPreset: Preset = {
+const defaultPreset: Preset = {
   name: 'RWKV',
   tag: 'default',
   sourceUrl: '',
@@ -75,33 +50,17 @@ export const defaultPreset: Preset = {
   prompt: '',
   stop: '',
   injectStart: '',
-  injectEnd: ''
+  injectEnd: '',
+  presystem: true,
+  userName: '',
+  assistantName: ''
 };
 
-const setActivePreset = (preset: Preset) => {
-  commonStore.setActivePreset(preset);
-  //TODO if (preset.displayPresetMessages) {
-  const conversation: Conversation = {};
-  const conversationOrder: string[] = [];
-  for (const message of preset.messages) {
-    const newUuid = uuid();
-    conversationOrder.push(newUuid);
-    conversation[newUuid] = {
-      sender: message.role === 'user' ? userName : botName,
-      type: MessageType.Normal,
-      color: message.role === 'user' ? 'brand' : 'colorful',
-      time: new Date().toISOString(),
-      content: message.content,
-      side: message.role === 'user' ? 'right' : 'left',
-      done: true
-    };
-  }
-  commonStore.setConversation(conversation);
-  commonStore.setConversationOrder(conversationOrder);
-  //}
-};
+const MessagesEditor = lazy(() => import('./MessagesEditor'));
 
-export const PresetCardFrame: FC<PropsWithChildren & { onClick?: () => void }> = (props) => {
+const PresetCardFrame: FC<PropsWithChildren & {
+  onClick?: React.MouseEventHandler<HTMLButtonElement>
+}> = (props) => {
   return <Button
     className="flex flex-col gap-1 w-32 h-56 break-all"
     style={{ minWidth: 0, borderRadius: '0.75rem', justifyContent: 'unset' }}
@@ -111,7 +70,7 @@ export const PresetCardFrame: FC<PropsWithChildren & { onClick?: () => void }> =
   </Button>;
 };
 
-export const PresetCard: FC<{
+const PresetCard: FC<{
   avatarImg: string,
   name: string,
   desc: string,
@@ -124,7 +83,10 @@ export const PresetCard: FC<{
 }) => {
   const { t } = useTranslation();
 
-  return <PresetCardFrame onClick={onClick}>
+  return <PresetCardFrame onClick={(e) => {
+    if (onClick && e.currentTarget.contains(e.target as Node))
+      onClick();
+  }}>
     <img src={absPathAsset(avatarImg)} className="rounded-xl select-none ml-auto mr-auto h-28" />
     <Text size={400}>{name}</Text>
     <Text size={200} style={{
@@ -137,7 +99,8 @@ export const PresetCard: FC<{
       {editable ?
         <ChatPresetEditor presetIndex={presetIndex} triggerButton={
           <ToolTipButton size="small" appearance="transparent" desc={t('Edit')} icon={<Edit20Regular />}
-            onClick={() => {
+            onClick={(e) => {
+              e.stopPropagation();
               commonStore.setEditingPreset({ ...commonStore.presets[presetIndex] });
             }} />
         } />
@@ -147,7 +110,7 @@ export const PresetCard: FC<{
   </PresetCardFrame>;
 });
 
-export const ChatPresetEditor: FC<{
+const ChatPresetEditor: FC<{
   triggerButton: ReactElement,
   presetIndex: number
 }> = observer(({ triggerButton, presetIndex }) => {
@@ -291,7 +254,7 @@ export const ChatPresetEditor: FC<{
                       });
                     }} />
                   } />
-                <MessagesEditor />
+                <LazyImportComponent lazyChildren={MessagesEditor} />
               </div> :
               <div className="flex flex-col gap-1 p-2 overflow-x-hidden overflow-y-auto">
                 <Labeled flex breakline label={`${t('Description')} (${t('Preview Only')})`}
@@ -356,7 +319,7 @@ export const ChatPresetEditor: FC<{
   </Dialog>;
 });
 
-export const ChatPresets: FC = observer(() => {
+const ChatPresets: FC = observer(() => {
   const { t } = useTranslation();
 
   return <div className="flex flex-wrap gap-2">
@@ -392,12 +355,9 @@ export const ChatPresets: FC = observer(() => {
   </div>;
 });
 
-type PresetsNavigationItem = {
-  icon: ReactElement;
-  element: ReactElement;
-};
-
-const pages: { [label: string]: PresetsNavigationItem } = {
+const pages: {
+  [label: string]: PresetsNavigationItem
+} = {
   Chat: {
     icon: <Chat20Regular />,
     element: <ChatPresets />
@@ -412,7 +372,9 @@ const pages: { [label: string]: PresetsNavigationItem } = {
   }
 };
 
-export const PresetsManager: FC<{ initTab: string }> = ({ initTab }) => {
+const PresetsManager: FC<{
+  initTab: string
+}> = ({ initTab }) => {
   const { t } = useTranslation();
   const [tab, setTab] = useState(initTab);
 

frontend/src/pages/Settings.tsx

@@ -16,33 +16,191 @@ import { observer } from 'mobx-react-lite';
 import { useTranslation } from 'react-i18next';
 import { checkUpdate, toastWithButton } from '../utils';
 import { RestartApp } from '../../wailsjs/go/backend_golang/App';
+import { Language, Languages } from '../types/settings';
 
-export const Languages = {
-  dev: 'English', // i18n default
-  zh: '简体中文',
-  ja: '日本語'
-};
+export const GeneralSettings: FC = observer(() => {
+  const { t } = useTranslation();
 
-export type Language = keyof typeof Languages;
+  return <div className="flex flex-col gap-2">
+    <Labeled label={t('Language')} flex spaceBetween content={
+      <Dropdown style={{ minWidth: 0 }} listbox={{ style: { minWidth: 'fit-content' } }}
+        value={Languages[commonStore.settings.language]}
+        selectedOptions={[commonStore.settings.language]}
+        onOptionSelect={(_, data) => {
+          if (data.optionValue) {
+            const lang = data.optionValue as Language;
+            commonStore.setSettings({
+              language: lang
+            });
+          }
+        }}>
+        {
+          Object.entries(Languages).map(([langKey, desc]) =>
+            <Option key={langKey} value={langKey}>{desc}</Option>)
+        }
+      </Dropdown>
+    } />
+    {
+      commonStore.platform === 'windows' &&
+      <Labeled label={t('DPI Scaling')} flex spaceBetween content={
+        <Dropdown style={{ minWidth: 0 }} listbox={{ style: { minWidth: 'fit-content' } }}
+          value={commonStore.settings.dpiScaling + '%'}
+          selectedOptions={[commonStore.settings.dpiScaling.toString()]}
+          onOptionSelect={(_, data) => {
+            if (data.optionValue) {
+              commonStore.setSettings({
+                dpiScaling: Number(data.optionValue)
+              });
+              toastWithButton(t('Restart the app to apply DPI Scaling.'), t('Restart'), () => {
+                RestartApp();
+              }, {
+                autoClose: 5000
+              });
+            }
+          }}>
+          {
+            Array.from({ length: 7 }, (_, i) => (i + 2) * 25).map((v, i) =>
+              <Option key={i} value={v.toString()}>{v + '%'}</Option>)
+          }
+        </Dropdown>
+      } />
+    }
+    <Labeled label={t('Dark Mode')} flex spaceBetween content={
+      <Switch checked={commonStore.settings.darkMode}
+        onChange={(e, data) => {
+          commonStore.setSettings({
+            darkMode: data.checked
+          });
+        }} />
+    } />
+  </div>;
+});
 
-export type SettingsType = {
-  language: Language
-  darkMode: boolean
-  autoUpdatesCheck: boolean
-  giteeUpdatesSource: boolean
-  cnMirror: boolean
-  host: string
-  dpiScaling: number
-  customModelsPath: string
-  customPythonPath: string
-  apiUrl: string
-  apiKey: string
-  apiChatModelName: string
-  apiCompletionModelName: string
-}
+export const AdvancedGeneralSettings: FC = observer(() => {
+  const { t } = useTranslation();
 
-export const Settings: FC = observer(() => {
-  const { t, i18n } = useTranslation();
+  return <div className="flex flex-col gap-2">
+    <Labeled label={'API URL'}
+      content={
+        <div className="flex gap-2">
+          <Input style={{ minWidth: 0 }} className="grow" value={commonStore.settings.apiUrl}
+            onChange={(e, data) => {
+              commonStore.setSettings({
+                apiUrl: data.value
+              });
+            }} />
+          <Dropdown style={{ minWidth: '33px' }} listbox={{ style: { minWidth: 'fit-content' } }}
+            value="..." selectedOptions={[]} expandIcon={null}
+            onOptionSelect={(_, data) => {
+              commonStore.setSettings({
+                apiUrl: data.optionValue
+              });
+              if (data.optionText === 'OpenAI') {
+                if (commonStore.settings.apiChatModelName === 'rwkv')
+                  commonStore.setSettings({
+                    apiChatModelName: 'gpt-3.5-turbo'
+                  });
+                if (commonStore.settings.apiCompletionModelName === 'rwkv')
+                  commonStore.setSettings({
+                    apiCompletionModelName: 'gpt-3.5-turbo-instruct'
+                  });
+              } else if (data.optionText === 'RWKV') {
+                if (commonStore.settings.apiChatModelName === 'gpt-3.5-turbo')
+                  commonStore.setSettings({
+                    apiChatModelName: 'rwkv'
+                  });
+                if (commonStore.settings.apiCompletionModelName === 'gpt-3.5-turbo-instruct' || commonStore.settings.apiCompletionModelName === 'text-davinci-003')
+                  commonStore.setSettings({
+                    apiCompletionModelName: 'rwkv'
+                  });
+              }
+            }}>
+            <Option value="">{t('Localhost')!}</Option>
+            <Option value="https://rwkv.ai-creator.net/chntuned">RWKV</Option>
+            <Option value="https://api.openai.com">OpenAI</Option>
+          </Dropdown>
+        </div>
+      } />
+    <Labeled label={'API Key'}
+      content={
+        <Input type="password" className="grow" placeholder="sk-" value={commonStore.settings.apiKey}
+          onChange={(e, data) => {
+            commonStore.setSettings({
+              apiKey: data.value
+            });
+          }} />
+      } />
+    <Labeled label={t('API Chat Model Name')}
+      content={
+        <div className="flex gap-2">
+          <Input style={{ minWidth: 0 }} className="grow" placeholder="rwkv"
+            value={commonStore.settings.apiChatModelName}
+            onChange={(e, data) => {
+              commonStore.setSettings({
+                apiChatModelName: data.value
+              });
+            }} />
+          <Dropdown style={{ minWidth: '33px' }} listbox={{ style: { minWidth: 'fit-content' } }}
+            value="..." selectedOptions={[]} expandIcon={null}
+            onOptionSelect={(_, data) => {
+              if (data.optionValue) {
+                commonStore.setSettings({
+                  apiChatModelName: data.optionValue
+                });
+              }
+            }}>
+            {
+              ['rwkv', 'gpt-4-1106-preview', 'gpt-4', 'gpt-4-32k', 'gpt-4-0613', 'gpt-4-32k-0613', 'gpt-3.5-turbo-1106', 'gpt-3.5-turbo', 'gpt-3.5-turbo-16k']
+              .map((v, i) =>
+                <Option key={i} value={v}>{v}</Option>
+              )
+            }
+          </Dropdown>
+        </div>
+      } />
+    <Labeled label={t('API Completion Model Name')}
+      content={
+        <div className="flex gap-2">
+          <Input style={{ minWidth: 0 }} className="grow" placeholder="rwkv"
+            value={commonStore.settings.apiCompletionModelName}
+            onChange={(e, data) => {
+              commonStore.setSettings({
+                apiCompletionModelName: data.value
+              });
+            }} />
+          <Dropdown style={{ minWidth: '33px' }} listbox={{ style: { minWidth: 'fit-content', minHeight: 0 } }}
+            value="..." selectedOptions={[]} expandIcon={null}
+            onOptionSelect={(_, data) => {
+              if (data.optionValue) {
+                commonStore.setSettings({
+                  apiCompletionModelName: data.optionValue
+                });
+              }
+            }}>
+            {
+              ['rwkv', 'gpt-3.5-turbo-instruct', 'text-davinci-003', 'text-davinci-002', 'code-davinci-002', 'text-curie-001', 'text-babbage-001', 'text-ada-001']
+              .map((v, i) =>
+                <Option key={i} value={v}>{v}</Option>
+              )
+            }
+          </Dropdown>
+        </div>
+      } />
+    <Labeled label={t('Core API URL')}
+      desc={t('Override core API URL(/chat/completions and /completions). If you don\'t know what this is, leave it blank.')}
+      content={
+        <Input style={{ minWidth: 0 }} className="grow" value={commonStore.settings.coreApiUrl}
+          onChange={(e, data) => {
+            commonStore.setSettings({
+              coreApiUrl: data.value
+            });
+          }} />
+      } />
+  </div>;
+});
+
+const Settings: FC = observer(() => {
+  const { t } = useTranslation();
   const advancedHeaderRef = useRef<HTMLDivElement>(null);
 
   useEffect(() => {
@@ -53,227 +211,101 @@ export const Settings: FC = observer(() => {
   return (
     <Page title={t('Settings')} content={
       <div className="flex flex-col gap-2 overflow-y-auto overflow-x-hidden p-1">
-        <Labeled label={t('Language')} flex spaceBetween content={
-          <Dropdown style={{ minWidth: 0 }} listbox={{ style: { minWidth: 0 } }}
-            value={Languages[commonStore.settings.language]}
-            selectedOptions={[commonStore.settings.language]}
-            onOptionSelect={(_, data) => {
-              if (data.optionValue) {
-                const lang = data.optionValue as Language;
-                commonStore.setSettings({
-                  language: lang
-                });
-              }
-            }}>
-            {
-              Object.entries(Languages).map(([langKey, desc]) =>
-                <Option key={langKey} value={langKey}>{desc}</Option>)
-            }
-          </Dropdown>
-        } />
         {
-          commonStore.platform === 'windows' &&
-          <Labeled label={t('DPI Scaling')} flex spaceBetween content={
-            <Dropdown style={{ minWidth: 0 }} listbox={{ style: { minWidth: 0 } }}
-              value={commonStore.settings.dpiScaling + '%'}
-              selectedOptions={[commonStore.settings.dpiScaling.toString()]}
-              onOptionSelect={(_, data) => {
-                if (data.optionValue) {
-                  commonStore.setSettings({
-                    dpiScaling: Number(data.optionValue)
-                  });
-                  toastWithButton(t('Restart the app to apply DPI Scaling.'), t('Restart'), () => {
-                    RestartApp();
-                  }, {
-                    autoClose: 5000
-                  });
-                }
-              }}>
-              {
-                Array.from({ length: 7 }, (_, i) => (i + 2) * 25).map((v, i) =>
-                  <Option key={i} value={v.toString()}>{v + '%'}</Option>)
-              }
-            </Dropdown>
-          } />
-        }
-        <Labeled label={t('Dark Mode')} flex spaceBetween content={
-          <Switch checked={commonStore.settings.darkMode}
-            onChange={(e, data) => {
-              commonStore.setSettings({
-                darkMode: data.checked
-              });
-            }} />
-        } />
-        <Labeled label={t('Automatic Updates Check')} flex spaceBetween content={
-          <Switch checked={commonStore.settings.autoUpdatesCheck}
-            onChange={(e, data) => {
-              commonStore.setSettings({
-                autoUpdatesCheck: data.checked
-              });
-              if (data.checked)
-                checkUpdate(true);
-            }} />
-        } />
-        {
-          commonStore.settings.language === 'zh' &&
-          <Labeled label={t('Use Gitee Updates Source')} flex spaceBetween content={
-            <Switch checked={commonStore.settings.giteeUpdatesSource}
-              onChange={(e, data) => {
-                commonStore.setSettings({
-                  giteeUpdatesSource: data.checked
-                });
-              }} />
-          } />
-        }
-        {
-          commonStore.settings.language === 'zh' && commonStore.platform !== 'linux' &&
-          <Labeled label={t('Use Tsinghua Pip Mirrors')} flex spaceBetween content={
-            <Switch checked={commonStore.settings.cnMirror}
-              onChange={(e, data) => {
-                commonStore.setSettings({
-                  cnMirror: data.checked
-                });
-              }} />
-          } />
-        }
-        <Labeled label={t('Allow external access to the API (service must be restarted)')} flex spaceBetween content={
-          <Switch checked={commonStore.settings.host !== '127.0.0.1'}
-            onChange={(e, data) => {
-              commonStore.setSettings({
-                host: data.checked ? '0.0.0.0' : '127.0.0.1'
-              });
-            }} />
-        } />
-        <Accordion collapsible openItems={!commonStore.advancedCollapsed && 'advanced'} onToggle={(e, data) => {
-          if (data.value === 'advanced')
-            commonStore.setAdvancedCollapsed(!commonStore.advancedCollapsed);
-        }}>
-          <AccordionItem value="advanced">
-            <AccordionHeader ref={advancedHeaderRef} size="large">{t('Advanced')}</AccordionHeader>
-            <AccordionPanel>
-              <div className="flex flex-col gap-2 overflow-hidden">
-                {commonStore.platform !== 'darwin' &&
-                  <Labeled label={t('Custom Models Path')}
-                    content={
-                      <Input className="grow" placeholder="./models" value={commonStore.settings.customModelsPath}
-                        onChange={(e, data) => {
-                          commonStore.setSettings({
-                            customModelsPath: data.value
-                          });
-                        }} />
-                    } />
-                }
-                <Labeled label={t('Custom Python Path')} // if set, will not use precompiled cuda kernel
-                  content={
-                    <Input className="grow" placeholder="./py310/python" value={commonStore.settings.customPythonPath}
-                      onChange={(e, data) => {
-                        commonStore.setDepComplete(false);
-                        commonStore.setSettings({
-                          customPythonPath: data.value
-                        });
-                      }} />
-                  } />
-                <Labeled label={'API URL'}
-                  content={
-                    <div className="flex gap-2">
-                      <Input style={{ minWidth: 0 }} className="grow" value={commonStore.settings.apiUrl}
-                        onChange={(e, data) => {
-                          commonStore.setSettings({
-                            apiUrl: data.value
-                          });
-                        }} />
-                      <Dropdown style={{ minWidth: 0 }} listbox={{ style: { minWidth: 0 } }}
-                        value="..." selectedOptions={[]} expandIcon={null}
-                        onOptionSelect={(_, data) => {
-                          commonStore.setSettings({
-                            apiUrl: data.optionValue
-                          });
-                          if (data.optionText === 'OpenAI') {
-                            if (commonStore.settings.apiChatModelName === 'rwkv')
-                              commonStore.setSettings({
-                                apiChatModelName: 'gpt-3.5-turbo'
-                              });
-                            if (commonStore.settings.apiCompletionModelName === 'rwkv')
-                              commonStore.setSettings({
-                                apiCompletionModelName: 'text-davinci-003'
-                              });
-                          }
-                        }}>
-                        <Option value="">{t('Localhost')!}</Option>
-                        <Option value="https://api.openai.com">OpenAI</Option>
-                      </Dropdown>
-                    </div>
-                  } />
-                <Labeled label={'API Key'}
-                  content={
-                    <Input className="grow" placeholder="sk-" value={commonStore.settings.apiKey}
-                      onChange={(e, data) => {
-                        commonStore.setSettings({
-                          apiKey: data.value
-                        });
-                      }} />
-                  } />
-                <Labeled label={t('API Chat Model Name')}
-                  content={
-                    <div className="flex gap-2">
-                      <Input style={{ minWidth: 0 }} className="grow" placeholder="rwkv"
-                        value={commonStore.settings.apiChatModelName}
-                        onChange={(e, data) => {
-                          commonStore.setSettings({
-                            apiChatModelName: data.value
-                          });
-                        }} />
-                      <Dropdown style={{ minWidth: 0 }} listbox={{ style: { minWidth: 0 } }}
-                        value="..." selectedOptions={[]} expandIcon={null}
-                        onOptionSelect={(_, data) => {
-                          if (data.optionValue) {
-                            commonStore.setSettings({
-                              apiChatModelName: data.optionValue
-                            });
-                          }
-                        }}>
-                        {
-                          ['rwkv', 'gpt-4', 'gpt-4-0613', 'gpt-4-32k', 'gpt-4-32k-0613', 'gpt-3.5-turbo', 'gpt-3.5-turbo-0613', 'gpt-3.5-turbo-16k', 'gpt-3.5-turbo-16k-0613']
-                          .map((v, i) =>
-                            <Option key={i} value={v}>{v}</Option>
-                          )
-                        }
-                      </Dropdown>
-                    </div>
-                  } />
-                <Labeled label={t('API Completion Model Name')}
-                  content={
-                    <div className="flex gap-2">
-                      <Input style={{ minWidth: 0 }} className="grow" placeholder="rwkv"
-                        value={commonStore.settings.apiCompletionModelName}
-                        onChange={(e, data) => {
-                          commonStore.setSettings({
-                            apiCompletionModelName: data.value
-                          });
-                        }} />
-                      <Dropdown style={{ minWidth: 0 }} listbox={{ style: { minWidth: 0 } }}
-                        value="..." selectedOptions={[]} expandIcon={null}
-                        onOptionSelect={(_, data) => {
-                          if (data.optionValue) {
-                            commonStore.setSettings({
-                              apiCompletionModelName: data.optionValue
-                            });
-                          }
-                        }}>
-                        {
-                          ['rwkv', 'text-davinci-003', 'text-davinci-002', 'text-curie-001', 'text-babbage-001', 'text-ada-001']
-                          .map((v, i) =>
-                            <Option key={i} value={v}>{v}</Option>
-                          )
-                        }
-                      </Dropdown>
-                    </div>
-                  } />
+          commonStore.platform === 'web' ?
+            (
+              <div className="flex flex-col gap-2">
+                <GeneralSettings />
+                <AdvancedGeneralSettings />
               </div>
-            </AccordionPanel>
-          </AccordionItem>
-        </Accordion>
+            )
+            :
+            (
+              <div className="flex flex-col gap-2">
+                <GeneralSettings />
+                <Labeled label={t('Automatic Updates Check')} flex spaceBetween content={
+                  <Switch checked={commonStore.settings.autoUpdatesCheck}
+                    onChange={(e, data) => {
+                      commonStore.setSettings({
+                        autoUpdatesCheck: data.checked
+                      });
+                      if (data.checked)
+                        checkUpdate(true);
+                    }} />
+                } />
+                {
+                  commonStore.settings.language === 'zh' &&
+                  <Labeled label={t('Use Gitee Updates Source')} flex spaceBetween content={
+                    <Switch checked={commonStore.settings.giteeUpdatesSource}
+                      onChange={(e, data) => {
+                        commonStore.setSettings({
+                          giteeUpdatesSource: data.checked
+                        });
+                      }} />
+                  } />
+                }
+                {
+                  commonStore.settings.language === 'zh' && commonStore.platform !== 'linux' &&
+                  <Labeled label={t('Use Tsinghua Pip Mirrors')} flex spaceBetween content={
+                    <Switch checked={commonStore.settings.cnMirror}
+                      onChange={(e, data) => {
+                        commonStore.setSettings({
+                          cnMirror: data.checked
+                        });
+                      }} />
+                  } />
+                }
+                <Labeled label={t('Allow external access to the API (service must be restarted)')} flex spaceBetween
+                  content={
+                    <Switch checked={commonStore.settings.host !== '127.0.0.1'}
+                      onChange={(e, data) => {
+                        commonStore.setSettings({
+                          host: data.checked ? '0.0.0.0' : '127.0.0.1'
+                        });
+                      }} />
+                  } />
+                <Accordion collapsible openItems={!commonStore.advancedCollapsed && 'advanced'} onToggle={(e, data) => {
+                  if (data.value === 'advanced')
+                    commonStore.setAdvancedCollapsed(!commonStore.advancedCollapsed);
+                }}>
+                  <AccordionItem value="advanced">
+                    <AccordionHeader ref={advancedHeaderRef} size="large">{t('Advanced')}</AccordionHeader>
+                    <AccordionPanel>
+                      <div className="flex flex-col gap-2 overflow-hidden">
+                        {commonStore.platform !== 'darwin' &&
+                          <Labeled label={t('Custom Models Path')}
+                            content={
+                              <Input className="grow" placeholder="./models"
+                                value={commonStore.settings.customModelsPath}
+                                onChange={(e, data) => {
+                                  commonStore.setSettings({
+                                    customModelsPath: data.value
+                                  });
+                                }} />
+                            } />
+                        }
+                        <Labeled label={t('Custom Python Path')} // if set, will not use precompiled cuda kernel
+                          content={
+                            <Input className="grow" placeholder="./py310/python"
+                              value={commonStore.settings.customPythonPath}
+                              onChange={(e, data) => {
+                                commonStore.setDepComplete(false);
+                                commonStore.setSettings({
+                                  customPythonPath: data.value
+                                });
+                              }} />
+                          } />
+                        <AdvancedGeneralSettings />
+                      </div>
+                    </AccordionPanel>
+                  </AccordionItem>
+                </Accordion>
+              </div>
+            )
+        }
       </div>
     } />
   );
 });
+
+export default Settings;

frontend/src/pages/Train.tsx

@@ -1,4 +1,4 @@
-import React, { FC, ReactElement, useEffect, useRef, useState } from 'react';
+import React, { FC, useEffect, useRef, useState } from 'react';
 import { useTranslation } from 'react-i18next';
 import { Button, Dropdown, Input, Option, Select, Switch, Tab, TabList } from '@fluentui/react-components';
 import {
@@ -24,7 +24,6 @@ import { Labeled } from '../components/Labeled';
 import { ToolTipButton } from '../components/ToolTipButton';
 import { DataUsageSettings20Regular, Folder20Regular } from '@fluentui/react-icons';
 import { useNavigate } from 'react-router';
-import { Precision } from './Configs';
 import {
   CategoryScale,
   Chart as ChartJS,
@@ -40,6 +39,12 @@ import { ChartJSOrUndefined } from 'react-chartjs-2/dist/types';
 import { WindowShow } from '../../wailsjs/runtime';
 import { t } from 'i18next';
 import { DialogButton } from '../components/DialogButton';
+import {
+  DataProcessParameters,
+  LoraFinetuneParameters,
+  LoraFinetunePrecision,
+  TrainNavigationItem
+} from '../types/train';
 
 ChartJS.register(
   CategoryScale,
@@ -61,6 +66,11 @@ const parseLossData = (data: string) => {
   const loss = parseFloat(lastMatch[8]);
   commonStore.setChartTitle(`Epoch ${epoch}: ${lastMatch[2]} - ${lastMatch[3]}/${lastMatch[4]} - ${lastMatch[5]}/${lastMatch[6]} - ${lastMatch[7]} Loss=${loss}`);
   addLossDataToChart(epoch, loss);
+  if (loss > 5)
+    toast(t('Loss is too high, please check the training data, and ensure your gpu driver is up to date.'), {
+      type: 'warning',
+      toastId: 'train_loss_high'
+    });
   return true;
 };
 
@@ -86,39 +96,6 @@ const addLossDataToChart = (epoch: number, loss: number) => {
   commonStore.setChartData(commonStore.chartData);
 };
 
-export type DataProcessParameters = {
-  dataPath: string;
-  vocabPath: string;
-}
-
-export type LoraFinetunePrecision = 'bf16' | 'fp16' | 'tf32';
-
-export type LoraFinetuneParameters = {
-  baseModel: string;
-  ctxLen: number;
-  epochSteps: number;
-  epochCount: number;
-  epochBegin: number;
-  epochSave: number;
-  microBsz: number;
-  accumGradBatches: number;
-  preFfn: boolean;
-  headQk: boolean;
-  lrInit: string;
-  lrFinal: string;
-  warmupSteps: number;
-  beta1: number;
-  beta2: number;
-  adamEps: string;
-  devices: number;
-  precision: LoraFinetunePrecision;
-  gradCp: boolean;
-  loraR: number;
-  loraAlpha: number;
-  loraDropout: number;
-  loraLoad: string
-}
-
 const loraFinetuneParametersOptions: Array<[key: keyof LoraFinetuneParameters, type: string, name: string]> = [
   ['devices', 'number', 'Devices'],
   ['precision', 'LoraFinetunePrecision', 'Precision'],
@@ -157,11 +134,13 @@ const errorsMap = Object.entries({
   'python3 ./finetune/lora/train.py': 'Memory is not enough, try to increase the virtual memory (Swap of WSL) or use a smaller base model.',
   'cuda out of memory': 'VRAM is not enough',
   'valueerror: high <= 0': 'Training data is not enough, reduce context length or add more data for training',
-  '+= \'+ptx\'': 'You are using WSL 1 for training, please upgrade to WSL 2. e.g. Run "wsl --set-version Ubuntu-22.04 2"',
+  '+= \'+ptx\'': 'Can not find an Nvidia GPU. Perhaps the gpu driver of windows is too old, or you are using WSL 1 for training, please upgrade to WSL 2. e.g. Run "wsl --set-version Ubuntu-22.04 2"',
   'size mismatch for blocks': 'Size mismatch for blocks. You are attempting to continue training from the LoRA model, but it does not match the base model. Please set LoRA model to None.',
   'cuda_home environment variable is not set': 'Matched CUDA is not installed',
   'unsupported gpu architecture': 'Matched CUDA is not installed',
-  'error building extension \'fused_adam\'': 'Matched CUDA is not installed'
+  'error building extension \'fused_adam\'': 'Matched CUDA is not installed',
+  'rwkv{version} is not supported': 'This version of RWKV is not supported yet.',
+  'modelinfo is invalid': 'Failed to load model, try to increase the virtual memory (Swap of WSL) or use a smaller base model.'
 });
 
 export const wslHandler = (data: string) => {
@@ -491,11 +470,12 @@ const LoraFinetune: FC = observer(() => {
                   return;
                 if (loraParams.loraLoad) {
                   const outputPath = `models/${loraParams.baseModel}-LoRA-${loraParams.loraLoad}`;
-                  MergeLora(commonStore.settings.customPythonPath, true, loraParams.loraAlpha,
+                  MergeLora(commonStore.settings.customPythonPath, !!commonStore.monitorData && commonStore.monitorData.totalVram !== 0, loraParams.loraAlpha,
                     'models/' + loraParams.baseModel, 'lora-models/' + loraParams.loraLoad,
                     outputPath).then(async () => {
                     if (!await FileExists(outputPath)) {
-                      toast(t('Failed to merge model') + ' - ' + await GetPyError(), { type: 'error' });
+                      if (commonStore.platform === 'windows' || commonStore.platform === 'linux')
+                        toast(t('Failed to merge model') + ' - ' + await GetPyError(), { type: 'error' });
                     } else {
                       toast(t('Merge model successfully'), { type: 'success' });
                     }
@@ -568,10 +548,6 @@ const LoraFinetune: FC = observer(() => {
   );
 });
 
-type TrainNavigationItem = {
-  element: ReactElement;
-};
-
 const pages: { [label: string]: TrainNavigationItem } = {
   'LoRA Finetune': {
     element: <LoraFinetune />
@@ -582,7 +558,7 @@ const pages: { [label: string]: TrainNavigationItem } = {
 };
 
 
-export const Train: FC = () => {
+const Train: FC = () => {
   const { t } = useTranslation();
   const [tab, setTab] = useState('LoRA Finetune');
 
@@ -607,3 +583,5 @@ export const Train: FC = () => {
     </div>
   </div>;
 };
+
+export default Train;

frontend/src/pages/index.tsx

@@ -1,5 +1,4 @@
-import { ReactElement } from 'react';
-import { Configs } from './Configs';
+import { FC, lazy, LazyExoticComponent, ReactElement } from 'react';
 import {
   ArrowDownload20Regular,
   Chat20Regular,
@@ -12,21 +11,12 @@ import {
   Settings20Regular,
   Storage20Regular
 } from '@fluentui/react-icons';
-import { Home } from './Home';
-import { Chat } from './Chat';
-import { Models } from './Models';
-import { Train } from './Train';
-import { Settings } from './Settings';
-import { About } from './About';
-import { Downloads } from './Downloads';
-import { Completion } from './Completion';
-import { Composition } from './Composition';
 
 type NavigationItem = {
   label: string;
   path: string;
   icon: ReactElement;
-  element: ReactElement;
+  element: LazyExoticComponent<FC>;
   top: boolean;
 };
 
@@ -35,70 +25,70 @@ export const pages: NavigationItem[] = [
     label: 'Home',
     path: '/',
     icon: <Home20Regular />,
-    element: <Home />,
+    element: lazy(() => import('./Home')),
     top: true
   },
   {
     label: 'Chat',
     path: '/chat',
     icon: <Chat20Regular />,
-    element: <Chat />,
+    element: lazy(() => import('./Chat')),
     top: true
   },
   {
     label: 'Completion',
     path: '/completion',
     icon: <ClipboardEdit20Regular />,
-    element: <Completion />,
+    element: lazy(() => import('./Completion')),
     top: true
   },
   {
     label: 'Composition',
     path: '/composition',
     icon: <MusicNote220Regular />,
-    element: <Composition />,
+    element: lazy(() => import('./Composition')),
     top: true
   },
   {
     label: 'Configs',
     path: '/configs',
     icon: <DocumentSettings20Regular />,
-    element: <Configs />,
+    element: lazy(() => import('./Configs')),
     top: true
   },
   {
     label: 'Models',
     path: '/models',
     icon: <DataUsageSettings20Regular />,
-    element: <Models />,
+    element: lazy(() => import('./Models')),
     top: true
   },
   {
     label: 'Downloads',
     path: '/downloads',
     icon: <ArrowDownload20Regular />,
-    element: <Downloads />,
+    element: lazy(() => import('./Downloads')),
     top: true
   },
   {
     label: 'Train',
     path: '/train',
     icon: <Storage20Regular />,
-    element: <Train />,
+    element: lazy(() => import('./Train')),
     top: true
   },
   {
     label: 'Settings',
     path: '/settings',
     icon: <Settings20Regular />,
-    element: <Settings />,
+    element: lazy(() => import('./Settings')),
     top: false
   },
   {
     label: 'About',
     path: '/about',
     icon: <Info20Regular />,
-    element: <About />,
+    element: lazy(() => import('./About')),
     top: false
   }
 ];

frontend/src/startup.ts

@@ -1,43 +1,49 @@
-import commonStore, { Platform } from './stores/commonStore';
-import { GetPlatform, ListDirFiles, ReadJson } from '../wailsjs/go/backend_golang/App';
+import commonStore, { MonitorData, Platform } from './stores/commonStore';
+import { FileExists, GetPlatform, ListDirFiles, ReadJson } from '../wailsjs/go/backend_golang/App';
 import { Cache, checkUpdate, downloadProgramFiles, LocalConfig, refreshLocalModels, refreshModels } from './utils';
 import { getStatus } from './apis';
 import { EventsOn, WindowSetTitle } from '../wailsjs/runtime';
 import manifest from '../../manifest.json';
 import { defaultModelConfigs, defaultModelConfigsMac } from './pages/defaultConfigs';
-import { Preset } from './pages/PresetsManager/PresetsButton';
-import { wslHandler } from './pages/Train';
 import { t } from 'i18next';
+import { Preset } from './types/presets';
+import { toast } from 'react-toastify';
+import { MidiMessage, MidiPort } from './types/composition';
 
 export async function startup() {
-  downloadProgramFiles();
-  EventsOn('downloadList', (data) => {
-    if (data)
-      commonStore.setDownloadList(data);
-  });
-  EventsOn('wsl', wslHandler);
-  EventsOn('wslerr', (e) => {
-    console.log(e);
-  });
-  initLocalModelsNotify();
-  initLoraModels();
-
   initPresets();
 
-  initHardwareMonitor();
-
   await GetPlatform().then(p => commonStore.setPlatform(p as Platform));
+
+  if (commonStore.platform !== 'web') {
+    downloadProgramFiles();
+    EventsOn('downloadList', (data) => {
+      if (data)
+        commonStore.setDownloadList(data);
+    });
+    EventsOn('wsl', (await import('./pages/Train')).wslHandler);
+    EventsOn('wslerr', (e) => {
+      console.log(e);
+    });
+    initLocalModelsNotify();
+    initLoraModels();
+    initHardwareMonitor();
+    initMidi();
+  }
+
   await initConfig();
 
-  initCache(true).then(initRemoteText); // depends on config customModelsPath
+  if (commonStore.platform !== 'web') {
+    initCache(true).then(initRemoteText); // depends on config customModelsPath
 
-  if (commonStore.settings.autoUpdatesCheck) // depends on config settings
-    checkUpdate();
+    if (commonStore.settings.autoUpdatesCheck) // depends on config settings
+      checkUpdate();
 
-  getStatus(1000).then(status => { // depends on config api port
-    if (status)
-      commonStore.setStatus(status);
-  });
+    getStatus(1000).then(status => { // depends on config api port
+      if (status)
+        commonStore.setStatus(status);
+    });
+  }
 }
 
 async function initRemoteText() {
@@ -88,7 +94,8 @@ async function initCache(initUnfinishedModels: boolean) {
 
 async function initPresets() {
   await ReadJson('presets.json').then((presets: Preset[]) => {
-    commonStore.setPresets(presets, false);
+    if (Array.isArray(presets))
+      commonStore.setPresets(presets, false);
   }).catch(() => {
   });
 }
@@ -121,19 +128,31 @@ async function initLocalModelsNotify() {
   });
 }
 
-type monitorData = {
-  usedMemory: number;
-  totalMemory: number;
-  gpuUsage: number;
-  gpuPower: number;
-  usedVram: number;
-  totalVram: number;
-}
-
 async function initHardwareMonitor() {
   EventsOn('monitor', (data: string) => {
-    const results: monitorData = JSON.parse(data);
-    if (results)
+    const results: MonitorData = JSON.parse(data);
+    if (results) {
+      commonStore.setMonitorData(results);
       WindowSetTitle(`RWKV-Runner (${t('RAM')}: ${results.usedMemory.toFixed(1)}/${results.totalMemory.toFixed(1)} GB, ${t('VRAM')}: ${(results.usedVram / 1024).toFixed(1)}/${(results.totalVram / 1024).toFixed(1)} GB, ${t('GPU Usage')}: ${results.gpuUsage}%)`);
+    }
   });
 }
+
+async function initMidi() {
+  EventsOn('midiError', (data: string) => {
+    if (commonStore.platform === 'windows')
+      toast('MIDI Error: ' + data, { type: 'error' });
+  });
+  EventsOn('midiPorts', (data: MidiPort[]) => {
+    commonStore.setMidiPorts(data);
+  });
+  EventsOn('midiMessage', async (data: MidiMessage) => {
+    await (await import('./pages/AudiotrackManager/AudiotrackEditor')).midiMessageHandler(data);
+  });
+  if (await FileExists('assets/sound-font/accordion/instrument.json')) {
+    commonStore.setCompositionParams({
+      ...commonStore.compositionParams,
+      useLocalSoundFont: true
+    });
+  }
+}

frontend/src/stores/commonStore.ts

@@ -2,21 +2,27 @@ import { makeAutoObservable } from 'mobx';
 import { getUserLanguage, isSystemLightMode, saveCache, saveConfigs, savePresets } from '../utils';
 import { WindowSetDarkTheme, WindowSetLightTheme } from '../../wailsjs/runtime';
 import manifest from '../../../manifest.json';
-import { ModelConfig } from '../pages/Configs';
-import { Conversation } from '../pages/Chat';
-import { ModelSourceItem } from '../pages/Models';
-import { DownloadStatus } from '../pages/Downloads';
-import { SettingsType } from '../pages/Settings';
-import { IntroductionContent } from '../pages/Home';
-import { AboutContent } from '../pages/About';
 import i18n from 'i18next';
-import { CompletionPreset } from '../pages/Completion';
 import { defaultCompositionPrompt, defaultModelConfigs, defaultModelConfigsMac } from '../pages/defaultConfigs';
-import commonStore from './commonStore';
-import { Preset } from '../pages/PresetsManager/PresetsButton';
-import { DataProcessParameters, LoraFinetuneParameters } from '../pages/Train';
 import { ChartData } from 'chart.js';
-import { CompositionParams } from '../pages/Composition';
+import { Preset } from '../types/presets';
+import { AboutContent } from '../types/about';
+import { Attachment, ChatParams, Conversation } from '../types/chat';
+import { CompletionPreset } from '../types/completion';
+import {
+  CompositionParams,
+  InstrumentType,
+  MidiMessage,
+  MidiPort,
+  Track,
+  tracksMinimalTotalTime
+} from '../types/composition';
+import { ModelConfig } from '../types/configs';
+import { DownloadStatus } from '../types/downloads';
+import { IntroductionContent } from '../types/home';
+import { ModelSourceItem } from '../types/models';
+import { SettingsType } from '../types/settings';
+import { DataProcessParameters, LoraFinetuneParameters } from '../types/train';
 
 export enum ModelStatus {
   Offline,
@@ -31,9 +37,16 @@ export type Status = {
   device_name: string;
 }
 
-export type Platform = 'windows' | 'darwin' | 'linux';
+export type MonitorData = {
+  usedMemory: number;
+  totalMemory: number;
+  gpuUsage: number;
+  gpuPower: number;
+  usedVram: number;
+  totalVram: number;
+}
 
-const labels = ['January', 'February', 'March', 'April', 'May', 'June', 'July'];
+export type Platform = 'windows' | 'darwin' | 'linux' | 'web';
 
 class CommonStore {
   // global
@@ -42,8 +55,10 @@ class CommonStore {
     pid: 0,
     device_name: 'CPU'
   };
+  monitorData: MonitorData | null = null;
   depComplete: boolean = false;
   platform: Platform = 'windows';
+  lastModelName: string = '';
   // presets manager
   editingPreset: Preset | null = null;
   presets: Preset[] = [];
@@ -55,9 +70,18 @@ class CommonStore {
   conversationOrder: string[] = [];
   activePreset: Preset | null = null;
   attachmentUploading: boolean = false;
-  attachmentName: string = '';
-  attachmentSize: number = 0;
-  attachmentContent: string = '';
+  attachments: {
+    [uuid: string]: Attachment[]
+  } = {};
+  currentTempAttachment: Attachment | null = null;
+  chatParams: ChatParams = {
+    maxResponseToken: 1000,
+    temperature: 1,
+    topP: 0.3,
+    presencePenalty: 0,
+    frequencyPenalty: 1
+  };
+  sidePanelCollapsed: boolean | 'auto' = 'auto';
   // completion
   completionPreset: CompletionPreset | null = null;
   completionGenerating: boolean = false;
@@ -70,16 +94,34 @@ class CommonStore {
     topP: 0.8,
     autoPlay: true,
     useLocalSoundFont: false,
+    externalPlay: false,
     midi: null,
-    ns: null
+    ns: null,
+    generationStartTime: 0,
+    playOnlyGeneratedContent: true
   };
   compositionGenerating: boolean = false;
   compositionSubmittedPrompt: string = defaultCompositionPrompt;
+  // composition midi device
+  midiPorts: MidiPort[] = [];
+  activeMidiDeviceIndex: number = -1;
+  instrumentType: InstrumentType = InstrumentType.Piano;
+  // composition tracks
+  tracks: Track[] = [];
+  trackScale: number = 1;
+  trackTotalTime: number = tracksMinimalTotalTime;
+  trackCurrentTime: number = 0;
+  trackPlayStartTime: number = 0;
+  playingTrackId: string = '';
+  recordingTrackId: string = '';
+  recordingContent: string = ''; // used to improve performance of midiMessageHandler, and I'm too lazy to maintain an ID dictionary for this (although that would be better for realtime effects)
+  recordingRawContent: MidiMessage[] = [];
   // configs
   currentModelConfigIndex: number = 0;
   modelConfigs: ModelConfig[] = [];
   modelParamsCollapsed: boolean = true;
   // models
+  activeModelListTags: string[] = [];
   modelSourceManifestList: string = 'https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner@master/manifest.json;';
   modelSourceList: ModelSourceItem[] = [];
   // downloads
@@ -100,7 +142,7 @@ class CommonStore {
     epochSteps: 200,
     epochCount: 20,
     epochBegin: 0,
-    epochSave: 2,
+    epochSave: 1,
     microBsz: 1,
     accumGradBatches: 8,
     preFfn: false,
@@ -127,14 +169,16 @@ class CommonStore {
     autoUpdatesCheck: true,
     giteeUpdatesSource: getUserLanguage() === 'zh',
     cnMirror: getUserLanguage() === 'zh',
+    useHfMirror: false,
     host: '127.0.0.1',
     dpiScaling: 100,
     customModelsPath: './models',
     customPythonPath: '',
     apiUrl: '',
-    apiKey: 'sk-',
+    apiKey: '',
     apiChatModelName: 'rwkv',
-    apiCompletionModelName: 'rwkv'
+    apiCompletionModelName: 'rwkv',
+    coreApiUrl: ''
   };
   // about
   about: AboutContent = manifest.about;
@@ -172,7 +216,7 @@ class CommonStore {
   createModelConfig = (config: ModelConfig = defaultModelConfigs[0], saveConfig: boolean = true) => {
     if (config.name === defaultModelConfigs[0].name) {
       // deep copy
-      config = JSON.parse(JSON.stringify(commonStore.platform !== 'darwin' ? defaultModelConfigs[0] : defaultModelConfigsMac[0]));
+      config = JSON.parse(JSON.stringify(this.platform !== 'darwin' ? defaultModelConfigs[0] : defaultModelConfigsMac[0]));
       config.name = new Date().toLocaleString();
     }
     this.modelConfigs.push(config);
@@ -226,6 +270,10 @@ class CommonStore {
     this.about = value;
   };
 
+  setLastModelName(value: string) {
+    this.lastModelName = value;
+  }
+
   setDepComplete = (value: boolean, inSaveCache: boolean = true) => {
     this.depComplete = value;
     if (inSaveCache)
@@ -252,6 +300,10 @@ class CommonStore {
     this.completionGenerating = value;
   }
 
+  setMonitorData(value: MonitorData) {
+    this.monitorData = value;
+  }
+
   setPlatform(value: Platform) {
     this.platform = value;
   }
@@ -282,7 +334,7 @@ class CommonStore {
       savePresets();
   }
 
-  setActivePreset(value: Preset) {
+  setActivePreset(value: Preset | null) {
     this.activePreset = value;
   }
 
@@ -334,16 +386,81 @@ class CommonStore {
     this.attachmentUploading = value;
   }
 
-  setAttachmentName(value: string) {
-    this.attachmentName = value;
+  setAttachments(value: {
+    [uuid: string]: Attachment[]
+  }) {
+    this.attachments = value;
   }
 
-  setAttachmentSize(value: number) {
-    this.attachmentSize = value;
+  setAttachment(uuid: string, value: Attachment[] | null) {
+    if (value === null)
+      delete this.attachments[uuid];
+    else
+      this.attachments[uuid] = value;
   }
 
-  setAttachmentContent(value: string) {
-    this.attachmentContent = value;
+  setCurrentTempAttachment(value: Attachment | null) {
+    this.currentTempAttachment = value;
+  }
+
+  setChatParams(value: Partial<ChatParams>) {
+    this.chatParams = { ...this.chatParams, ...value };
+  }
+
+  setSidePanelCollapsed(value: boolean | 'auto') {
+    this.sidePanelCollapsed = value;
+  }
+
+  setTracks(value: Track[]) {
+    this.tracks = value;
+  }
+
+  setTrackScale(value: number) {
+    this.trackScale = value;
+  }
+
+  setTrackTotalTime(value: number) {
+    this.trackTotalTime = value;
+  }
+
+  setTrackCurrentTime(value: number) {
+    this.trackCurrentTime = value;
+  }
+
+  setTrackPlayStartTime(value: number) {
+    this.trackPlayStartTime = value;
+  }
+
+  setMidiPorts(value: MidiPort[]) {
+    this.midiPorts = value;
+  }
+
+  setInstrumentType(value: InstrumentType) {
+    this.instrumentType = value;
+  }
+
+  setRecordingTrackId(value: string) {
+    this.recordingTrackId = value;
+  }
+
+  setActiveMidiDeviceIndex(value: number) {
+    this.activeMidiDeviceIndex = value;
+  }
+
+  setRecordingContent(value: string) {
+    this.recordingContent = value;
+  }
+
+  setRecordingRawContent(value: MidiMessage[]) {
+    this.recordingRawContent = value;
+  }
+
+  setPlayingTrackId(value: string) {
+    this.playingTrackId = value;
+  }
+
+  setActiveModelListTags(value: string[]) {
+    this.activeModelListTags = value;
   }
 }
 

frontend/src/style.scss

@@ -1,12 +1,10 @@
 [data-theme='dark'] {
   @import 'highlight.js/scss/github-dark.scss';
-  @import 'github-markdown-css/github-markdown-dark.css';
   --color-neutral-muted: rgba(110, 118, 129, 0.4);
 }
 
 [data-theme='light'] {
   @import 'highlight.js/scss/github.scss';
-  @import 'github-markdown-css/github-markdown-light.css';
   --color-neutral-muted: rgba(150, 160, 170, 0.3);
 }
 
@@ -16,7 +14,6 @@
 
 body {
   margin: 0;
-  overflow: hidden;
   width: 100%;
   height: 100%;
 }

frontend/src/types/about.ts

@@ -0,0 +1 @@
+export type AboutContent = { [lang: string]: string }

frontend/src/types/chat.ts

@@ -0,0 +1,37 @@
+import { ApiParameters } from './configs';
+
+export const userName = 'M E';
+export const botName = 'A I';
+export const welcomeUuid = 'welcome';
+
+export enum MessageType {
+  Normal,
+  Error
+}
+
+export type Side = 'left' | 'right'
+export type Color = 'neutral' | 'brand' | 'colorful'
+export type MessageItem = {
+  sender: string,
+  type: MessageType,
+  color: Color,
+  avatarImg?: string,
+  time: string,
+  content: string,
+  side: Side,
+  done: boolean
+}
+export type Conversation = {
+  [uuid: string]: MessageItem
+}
+export type Role = 'assistant' | 'user' | 'system';
+export type ConversationMessage = {
+  role: Role;
+  content: string;
+}
+export type Attachment = {
+  name: string;
+  size: number;
+  content: string;
+}
+export type ChatParams = Omit<ApiParameters, 'apiPort'>

frontend/src/types/completion.ts

@@ -0,0 +1,12 @@
+import { ApiParameters } from './configs';
+
+export type CompletionParams = Omit<ApiParameters, 'apiPort'> & {
+  stop: string,
+  injectStart: string,
+  injectEnd: string
+};
+export type CompletionPreset = {
+  name: string,
+  prompt: string,
+  params: CompletionParams
+}

frontend/src/types/composition.ts

@@ -0,0 +1,88 @@
+import { NoteSequence } from '@magenta/music/esm/protobuf';
+
+export const tracksMinimalTotalTime = 5000;
+
+export type CompositionParams = {
+  prompt: string,
+  maxResponseToken: number,
+  temperature: number,
+  topP: number,
+  autoPlay: boolean,
+  useLocalSoundFont: boolean,
+  externalPlay: boolean,
+  midi: ArrayBuffer | null,
+  ns: NoteSequence | null,
+  generationStartTime: number,
+  playOnlyGeneratedContent: boolean,
+}
+export type Track = {
+  id: string;
+  mainInstrument: string;
+  content: string;
+  rawContent: MidiMessage[];
+  offsetTime: number;
+  contentTime: number;
+};
+export type MidiPort = {
+  name: string;
+}
+
+export type MessageType = 'NoteOff' | 'NoteOn' | 'ElapsedTime' | 'ControlChange';
+
+export type MidiMessage = {
+  messageType: MessageType;
+  channel: number;
+  note: number;
+  velocity: number;
+  control: number;
+  value: number;
+  instrument: InstrumentType;
+}
+
+export enum InstrumentType {
+  Piano,
+  Percussion,
+  Drum,
+  Tuba,
+  Marimba,
+  Bass,
+  Guitar,
+  Violin,
+  Trumpet,
+  Sax,
+  Flute,
+  Lead,
+  Pad,
+}
+
+export const InstrumentTypeNameMap = [
+  'Piano',
+  'Percussion',
+  'Drum',
+  'Tuba',
+  'Marimba',
+  'Bass',
+  'Guitar',
+  'Violin',
+  'Trumpet',
+  'Sax',
+  'Flute',
+  'Lead',
+  'Pad'
+];
+
+export const InstrumentTypeTokenMap = [
+  'pi',
+  'p',
+  'd',
+  't',
+  'm',
+  'b',
+  'g',
+  'v',
+  'tr',
+  's',
+  'f',
+  'l',
+  'pa'
+];