forked from mrq/ai-voice-cloning
fixed the whisperx has no attribute named load_model whatever because I guess whisperx has as stable of an API as I do
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@ -3660,9 +3660,12 @@ def load_whisper_model(language=None, model_name=None, progress=None):
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b_lang = language.encode('ascii')
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b_lang = language.encode('ascii')
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whisper_model = Whisper(model_name, models_dir='./models/', language=b_lang)
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whisper_model = Whisper(model_name, models_dir='./models/', language=b_lang)
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elif args.whisper_backend == "m-bain/whisperx":
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elif args.whisper_backend == "m-bain/whisperx":
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import whisperx
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import whisper, whisperx
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device = "cuda" if get_device_name() == "cuda" else "cpu"
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device = "cuda" if get_device_name() == "cuda" else "cpu"
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whisper_model = whisperx.load_model(model_name, device)
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try:
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whisper_model = whisperx.load_model(model_name, device)
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except Exception as e:
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whisper_model = whisper.load_model(model_name, device)
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if not args.hf_token:
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if not args.hf_token:
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print("No huggingface token used, needs to be saved in environment variable, otherwise will throw error loading VAD model.")
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print("No huggingface token used, needs to be saved in environment variable, otherwise will throw error loading VAD model.")
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