forked from mrq/ai-voice-cloning
some cleanup
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parent
5460e191b0
commit
2f6dd9c076
28
src/webui.py
28
src/webui.py
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@ -171,8 +171,14 @@ def read_generate_settings_proxy(file, saveAs='.temp'):
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gr.update(visible=j is not None),
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)
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def prepare_dataset_proxy( voice, language, skip_existings, progress=gr.Progress(track_tqdm=True) ):
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return prepare_dataset( get_voices(load_latents=False)[voice], outdir=f"./training/{voice}/", language=language, skip_existings=skip_existings, progress=progress )
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def prepare_dataset_proxy( voice, language, validation_size, skip_existings, progress=gr.Progress(track_tqdm=True) ):
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messages = []
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message = prepare_dataset( get_voices(load_latents=False)[voice], outdir=f"./training/{voice}/", language=language, skip_existings=skip_existings, progress=progress )
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messages.append(message)
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if validation_size > 0:
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message = prepare_validation_dataset( voice, text_length=validation_size )
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messages.append(message)
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return "\n".join(messages)
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def update_args_proxy( *args ):
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kwargs = {}
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@ -377,14 +383,18 @@ def setup_gradio():
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with gr.Tab("Prepare Dataset"):
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with gr.Row():
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with gr.Column():
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dataset_settings = [
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gr.Dropdown( choices=voice_list, label="Dataset Source", type="value", value=voice_list[0] if len(voice_list) > 0 else "" ),
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gr.Textbox(label="Language", value="en"),
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gr.Checkbox(label="Skip Already Transcribed", value=False)
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]
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DATASET_SETTINGS = {}
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DATASET_SETTINGS['voice'] = gr.Dropdown( choices=voice_list, label="Dataset Source", type="value", value=voice_list[0] if len(voice_list) > 0 else "" )
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with gr.Row():
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DATASET_SETTINGS['language'] = gr.Textbox(label="Language", value="en")
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DATASET_SETTINGS['validation_size'] = gr.Number(label="Validation Text Length Cull Size", value=12, precision=0)
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DATASET_SETTINGS['skip'] = gr.Checkbox(label="Skip Already Transcribed", value=False)
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with gr.Row():
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transcribe_button = gr.Button(value="Transcribe")
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validation_text_cull_size = gr.Number(label="Validation Text Length Cull Size", value=12, precision=0)
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prepare_validation_button = gr.Button(value="Prepare Validation")
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dataset_settings = list(DATASET_SETTINGS.values())
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with gr.Column():
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prepare_dataset_output = gr.TextArea(label="Console Output", interactive=False, max_lines=8)
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with gr.Tab("Generate Configuration"):
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@ -692,7 +702,7 @@ def setup_gradio():
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prepare_validation_dataset,
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inputs=[
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dataset_settings[0],
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validation_text_cull_size,
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DATASET_SETTINGS['validation_size'],
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],
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outputs=prepare_dataset_output #console_output
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)
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