forked from mrq/ai-voice-cloning
option to set results folder location
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74510e8623
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@ -252,7 +252,7 @@ def generate(**kwargs):
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full_start_time = time.time()
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outdir = f"./results/{voice}/"
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outdir = f"./{args.results_folder}/{voice}/"
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os.makedirs(outdir, exist_ok=True)
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audio_cache = {}
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@ -2024,6 +2024,7 @@ def setup_args():
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'output-sample-rate': 44100,
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'output-volume': 1,
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'results-folder': "./results/",
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'tts-backend': TTSES[0],
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@ -2070,6 +2071,7 @@ def setup_args():
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parser.add_argument("--autocalculate-voice-chunk-duration-size", type=float, default=default_arguments['autocalculate-voice-chunk-duration-size'], help="Number of seconds to suggest voice chunk size for (for example, 100 seconds of audio at 10 seconds per chunk will suggest 10 chunks)")
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parser.add_argument("--output-sample-rate", type=int, default=default_arguments['output-sample-rate'], help="Sample rate to resample the output to (from 24KHz)")
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parser.add_argument("--output-volume", type=float, default=default_arguments['output-volume'], help="Adjusts volume of output")
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parser.add_argument("--results-folder", type=str, default=default_arguments['results-folder'], help="Sets output directory")
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parser.add_argument("--tts-backend", default=default_arguments['tts-backend'], help="Specifies which TTS backend to use.")
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@ -2137,6 +2139,7 @@ def get_default_settings( hypenated=True ):
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'output-sample-rate': args.output_sample_rate,
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'autocalculate-voice-chunk-duration-size': args.autocalculate_voice_chunk_duration_size,
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'output-volume': args.output_volume,
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'results-folder': args.results_folder,
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'tts-backend': args.tts_backend,
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@ -2183,6 +2186,7 @@ def update_args( **kwargs ):
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args.output_sample_rate = 44000
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args.autocalculate_voice_chunk_duration_size = settings['autocalculate_voice_chunk_duration_size']
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args.output_volume = settings['output_volume']
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args.results_folder = settings['results_folder']
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args.tts_backend = settings['tts_backend']
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12
src/webui.py
12
src/webui.py
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@ -120,7 +120,7 @@ def update_training_configs():
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def history_view_results( voice ):
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results = []
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files = []
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outdir = f"./results/{voice}/"
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outdir = f"./{args.results_folder}/{voice}/"
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for i, file in enumerate(sorted(os.listdir(outdir))):
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if file[-4:] != ".wav":
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continue
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@ -281,11 +281,11 @@ def update_voices():
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return (
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gr.Dropdown.update(choices=get_voice_list(append_defaults=True)),
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gr.Dropdown.update(choices=get_voice_list()),
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gr.Dropdown.update(choices=get_voice_list("./results/")),
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gr.Dropdown.update(choices=get_voice_list(args.results_folder)),
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)
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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"./{args.results_folder}/{voice}/{file}" )
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def setup_gradio():
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global args
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@ -309,7 +309,7 @@ def setup_gradio():
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voice_list_with_defaults = get_voice_list(append_defaults=True)
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voice_list = get_voice_list()
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result_voices = get_voice_list("./results/")
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result_voices = get_voice_list(args.results_folder)
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autoregressive_models = get_autoregressive_models()
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diffusion_models = get_diffusion_models()
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@ -571,6 +571,8 @@ def setup_gradio():
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EXEC_SETTINGS['autocalculate_voice_chunk_duration_size'] = gr.Number(label="Auto-Calculate Voice Chunk Duration (in seconds)", precision=0, value=args.autocalculate_voice_chunk_duration_size)
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EXEC_SETTINGS['output_volume'] = gr.Slider(label="Output Volume", minimum=0, maximum=2, value=args.output_volume)
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EXEC_SETTINGS['device_override'] = gr.Textbox(label="Device Override", value=args.device_override)
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EXEC_SETTINGS['results_folder'] = gr.Textbox(label="Results Folder", value=args.results_folder)
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with gr.Column():
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# EXEC_SETTINGS['tts_backend'] = gr.Dropdown(TTSES, label="TTS Backend", value=args.tts_backend if args.tts_backend else TTSES[0])
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@ -651,7 +653,7 @@ def setup_gradio():
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]
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)
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history_results_list.change(
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fn=lambda voice, file: f"./results/{voice}/{file}",
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fn=lambda voice, file: f"./{args.results_folder}/{voice}/{file}",
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inputs=[
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history_voices,
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history_results_list,
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