forked from mrq/ai-voice-cloning
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14
src/utils.py
14
src/utils.py
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@ -898,19 +898,19 @@ def update_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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args.autoregressive_model = path_name
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def update_autoregressive_model(autoregressive_model_path):
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args.autoregressive_model = autoregressive_model_path
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save_args_settings()
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print(f'Stored autoregressive model to settings: {path_name}')
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print(f'Stored autoregressive model to settings: {autoregressive_model_path}')
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global tts
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if not tts:
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raise Exception("TTS is uninitialized or still initializing...")
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print(f"Loading model: {path_name}")
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print(f"Loading model: {autoregressive_model_path}")
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if hasattr(tts, 'load_autoregressive_model') and tts.load_autoregressive_model(path_name):
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tts.load_autoregressive_model(path_name)
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if hasattr(tts, 'load_autoregressive_model') and tts.load_autoregressive_model(autoregressive_model_path):
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tts.load_autoregressive_model(autoregressive_model_path)
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# polyfill in case a user did NOT update the packages
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# this shouldn't happen anymore, as I just clone mrq/tortoise-tts, and inject it into sys.path
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else:
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@ -930,7 +930,7 @@ def update_autoregressive_model(path_name):
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print(f"Loaded model: {tts.autoregressive_model_path}")
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return path_name
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return autoregressive_model_path
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def update_args( listen, share, check_for_updates, models_from_local_only, low_vram, embed_output_metadata, latents_lean_and_mean, voice_fixer, voice_fixer_use_cuda, force_cpu_for_conditioning_latents, defer_tts_load, device_override, sample_batch_size, concurrency_count, output_sample_rate, output_volume ):
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global args
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