forked from mrq/ai-voice-cloning
forgot to make the transcription tab visible with the bark backend (god the code is a mess now, I'll suck you off if you clean this up for me (not really))
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@ -495,7 +495,7 @@ def setup_gradio():
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merger_button = gr.Button(value="Run Merger")
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with gr.Column():
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merger_output = gr.TextArea(label="Console Output", max_lines=8)
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with gr.Tab("Training", visible=args.tts_backend != "bark"):
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with gr.Tab("Training"):
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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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@ -528,7 +528,7 @@ def setup_gradio():
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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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with gr.Tab("Generate Configuration", visible=args.tts_backend != "bark"):
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with gr.Row():
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with gr.Column():
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TRAINING_SETTINGS["epochs"] = gr.Number(label="Epochs", value=500, precision=0)
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@ -580,7 +580,7 @@ def setup_gradio():
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with gr.Row():
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training_optimize_configuration = gr.Button(value="Validate Training Configuration")
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training_save_configuration = gr.Button(value="Save Training Configuration")
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with gr.Tab("Run Training"):
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with gr.Tab("Run Training", visible=args.tts_backend != "bark"):
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with gr.Row():
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with gr.Column():
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training_configs = gr.Dropdown(label="Training Configuration", choices=training_list, value=training_list[0] if len(training_list) else "")
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