I forgot to make it update the whisper model at runtime
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11
src/utils.py
11
src/utils.py
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@ -765,6 +765,17 @@ def get_dataset_list(dir="./training/"):
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def get_training_list(dir="./training/"):
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def get_training_list(dir="./training/"):
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return sorted([f'./training/{d}/train.yaml' for d in os.listdir(dir) if os.path.isdir(os.path.join(dir, d)) and len(os.listdir(os.path.join(dir, d))) > 0 and "train.yaml" in os.listdir(os.path.join(dir, d)) ])
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return sorted([f'./training/{d}/train.yaml' for d in os.listdir(dir) if os.path.isdir(os.path.join(dir, d)) and len(os.listdir(os.path.join(dir, d))) > 0 and "train.yaml" in os.listdir(os.path.join(dir, d)) ])
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def update_whisper_model(name):
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global whisper_model
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if whisper_model:
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del whisper_model
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whisper_model = None
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args.whisper_model = name
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print(f"Loading Whisper model: {args.whisper_model}")
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whisper_model = whisper.load_model(args.whisper_model)
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def update_autoregressive_model(path_name):
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def update_autoregressive_model(path_name):
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global tts
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global tts
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if not tts:
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if not tts:
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@ -209,10 +209,8 @@ def history_copy_settings( voice, file ):
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return import_generate_settings( f"./results/{voice}/{file}" )
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return import_generate_settings( f"./results/{voice}/{file}" )
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def update_model_settings( autoregressive_model, whisper_model ):
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def update_model_settings( autoregressive_model, whisper_model ):
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if args.autoregressive_model != autoregressive_model:
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update_autoregressive_model(autoregressive_model)
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update_autoregressive_model(autoregressive_model)
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update_whisper_model(whisper_model)
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args.whisper_model = whisper_model
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save_args_settings()
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save_args_settings()
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