Jaikinator
87 lines
2.6 KiB
Python
87 lines
2.6 KiB
Python
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from pyannote.audio import Pipeline
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from whisper import Whisper, load_model
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import os
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import glob
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from warnings import warn
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WHISPER_DEFAULT_PATH = os.path.join(os.path.dirname(os.path.dirname(__file__)),
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"models", "whisper")
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PYANNOTE_DEFAULT_PATH = os.path.join(os.path.dirname(os.path.dirname(__file__)),
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"models", "pyannote",
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"speaker_diarization", "config.yaml")
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def load_whisper_model(model: str ="medium", local : bool = False, download_root: str = WHISPER_DEFAULT_PATH) -> Whisper:
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"""
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Load modules from whisper
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Parameters
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----------
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whisper : str
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whisper model
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available models:
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- 'tiny.en'
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- 'tiny'
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- 'base.en'
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- 'base'
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- 'small.en'
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- 'small'
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- 'medium.en'
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- 'medium'
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- 'large-v1'
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- 'large-v2'
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- 'large'
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local : bool
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If true, load from local cache
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download_root : str
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Path to download the model
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default: /models/whisper
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Returns
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-------
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Whisper Object
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"""
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warn("load_whisper_model is deprecated. Use Transcriptor.load_model() instead.", DeprecationWarning)
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if local:
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available_models = [os.path.basename(x) for x in glob.glob(os.path.join(download_root, "*"))]
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for i, module in enumerate(available_models):
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available_models[i] = module.split(".")[0]
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if model not in available_models:
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raise RuntimeError("Model not found. Consider downloading the model first. By deactivating the local flag, the model will be downloaded automatically.")
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return load_model(model, download_root=download_root)
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def load_pyannote_model(model: str = PYANNOTE_DEFAULT_PATH,
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token: str = "",
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local : bool = True,
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*args, **kwargs) -> Pipeline:
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"""
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Load modules from pyannote
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Parameters
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----------
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model : str
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pyannote model
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default: /models/pyannote/speaker_diarization/config.yaml
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token : str
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HUGGINGFACE_TOKEN
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local : bool
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If true, load from local cache
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Returns
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-------
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Pipeline Object
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"""
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warn("load_pyannote_model is deprecated. Use Diarisation.load_model() instead.", DeprecationWarning)
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if local:
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return Pipeline.from_pretrained(model,*args, **kwargs)
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else:
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return Pipeline.from_pretrained(model, use_auth_token = token, *args, **kwargs)
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