bump MIDI-LLM-tokenizer (fix note off)
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@ -37,10 +37,14 @@ def text_to_midi(body: TextToMidiBody):
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async def midi_to_text(file_data: UploadFile):
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vocab_config = "backend-python/utils/midi_vocab_config.json"
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cfg = VocabConfig.from_json(vocab_config)
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filter_config = "backend-python/utils/midi_filter_config.json"
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filter_cfg = FilterConfig.from_json(filter_config)
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mid = mido.MidiFile(file=file_data.file)
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text = convert_midi_to_str(cfg, mid)
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output_list = convert_midi_to_str(cfg, filter_cfg, mid)
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if len(output_list) == 0:
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raise HTTPException(status.HTTP_400_BAD_REQUEST, "bad midi file")
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return {"text": text}
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return {"text": output_list[0]}
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class TxtToMidiBody(BaseModel):
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63
backend-python/utils/midi.py
vendored
63
backend-python/utils/midi.py
vendored
@ -52,6 +52,8 @@ class VocabConfig:
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bin_name_to_program_name: Dict[str, str]
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# Mapping from program number to instrument name.
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instrument_names: Dict[str, str]
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# Manual override for velocity bins. Each element is the max velocity value for that bin by index.
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velocity_bins_override: Optional[List[int]] = None
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def __post_init__(self):
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self.validate()
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@ -116,6 +118,12 @@ class VocabConfig:
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raise ValueError("velocity_bins must be at least 2")
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if len(self.bin_instrument_names) > 16:
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raise ValueError("bin_instruments must have at most 16 values")
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if self.velocity_bins_override:
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print("VocabConfig is using velocity_bins_override. Ignoring velocity_exp.")
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if len(self.velocity_bins_override) != self.velocity_bins:
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raise ValueError(
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"velocity_bins_override must have same length as velocity_bins"
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)
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if (
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self.ch10_instrument_bin_name
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and self.ch10_instrument_bin_name not in self.bin_instrument_names
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@ -156,6 +164,11 @@ class VocabUtils:
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def velocity_to_bin(self, velocity: float) -> int:
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velocity = max(0, min(velocity, self.cfg.velocity_events - 1))
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if self.cfg.velocity_bins_override:
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for i, v in enumerate(self.cfg.velocity_bins_override):
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if velocity <= v:
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return i
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return 0
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binsize = self.cfg.velocity_events / (self.cfg.velocity_bins - 1)
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if self.cfg.velocity_exp == 1.0:
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return ceil(velocity / binsize)
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@ -176,6 +189,8 @@ class VocabUtils:
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)
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def bin_to_velocity(self, bin: int) -> int:
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if self.cfg.velocity_bins_override:
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return self.cfg.velocity_bins_override[bin]
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binsize = self.cfg.velocity_events / (self.cfg.velocity_bins - 1)
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if self.cfg.velocity_exp == 1.0:
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return max(0, ceil(bin * binsize - 1))
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@ -358,13 +373,32 @@ class AugmentConfig:
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)
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@dataclass
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class FilterConfig:
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# Whether to filter out MIDI files with duplicate MD5 hashes.
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deduplicate_md5: bool
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# Minimum time delay between notes in a file before splitting into multiple documents.
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piece_split_delay: float
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# Minimum length of a piece in milliseconds.
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min_piece_length: float
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@classmethod
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def from_json(cls, path: str):
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with open(path, "r") as f:
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config = json.load(f)
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return cls(**config)
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def mix_volume(velocity: int, volume: int, expression: int) -> float:
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return velocity * (volume / 127.0) * (expression / 127.0)
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def convert_midi_to_str(
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cfg: VocabConfig, mid: mido.MidiFile, augment: AugmentValues = None
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) -> str:
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cfg: VocabConfig,
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filter_cfg: FilterConfig,
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mid: mido.MidiFile,
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augment: AugmentValues = None,
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) -> List[str]:
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utils = VocabUtils(cfg)
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if augment is None:
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augment = AugmentValues.default()
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@ -390,7 +424,9 @@ def convert_midi_to_str(
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} # {channel: {(note, program) -> True}}
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started_flag = False
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output_list = []
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output = ["<start>"]
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output_length_ms = 0.0
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token_data_buffer: List[
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Tuple[int, int, int, float]
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] = [] # need to sort notes between wait tokens
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@ -432,16 +468,33 @@ def convert_midi_to_str(
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token_data_buffer = []
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def consume_note_program_data(prog: int, chan: int, note: int, vel: float):
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nonlocal output, started_flag, delta_time_ms, cfg, utils, token_data_buffer
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nonlocal output, output_length_ms, started_flag, delta_time_ms, cfg, utils, token_data_buffer
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is_token_valid = (
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utils.prog_data_to_token_data(prog, chan, note, vel) is not None
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)
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if not is_token_valid:
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return
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if delta_time_ms > filter_cfg.piece_split_delay * 1000.0:
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# check if any notes are still held
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silent = True
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for channel in channel_notes.keys():
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if len(channel_notes[channel]) > 0:
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silent = False
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break
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if silent:
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flush_token_data_buffer()
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output.append("<end>")
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if output_length_ms > filter_cfg.min_piece_length * 1000.0:
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output_list.append(" ".join(output))
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output = ["<start>"]
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output_length_ms = 0.0
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started_flag = False
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if started_flag:
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wait_tokens = utils.data_to_wait_tokens(delta_time_ms)
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if len(wait_tokens) > 0:
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flush_token_data_buffer()
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output_length_ms += delta_time_ms
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output += wait_tokens
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delta_time_ms = 0.0
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token_data_buffer.append((prog, chan, note, vel * augment.velocity_mod_factor))
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@ -510,7 +563,9 @@ def convert_midi_to_str(
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flush_token_data_buffer()
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output.append("<end>")
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return " ".join(output)
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if output_length_ms > filter_cfg.min_piece_length * 1000.0:
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output_list.append(" ".join(output))
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return output_list
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def generate_program_change_messages(cfg: VocabConfig):
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5
backend-python/utils/midi_filter_config.json
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5
backend-python/utils/midi_filter_config.json
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@ -0,0 +1,5 @@
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{
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"deduplicate_md5": true,
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"piece_split_delay": 10.0,
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"min_piece_length": 30.0
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}
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