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@ -150,7 +150,7 @@ if __name__ == "__main__":
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args = parser.parse_args()
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with gr.Blocks() as demo:
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with gr.Tab("Data processing"):
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with gr.Tab("1 - Data processing"):
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out_path = gr.Textbox(
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label="Output path (where data and checkpoints will be saved):",
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value=args.out_path,
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@ -222,7 +222,7 @@ if __name__ == "__main__":
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print("Dataset Processed!")
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return "Dataset Processed!", train_meta, eval_meta
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with gr.Tab("Fine-tuning XTTS Encoder"):
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with gr.Tab("2 - Fine-tuning XTTS Encoder"):
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train_csv = gr.Textbox(
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label="Train CSV:",
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)
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@ -281,7 +281,7 @@ if __name__ == "__main__":
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return "Model training done!", config_path, vocab_file, ft_xtts_checkpoint, speaker_wav
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with gr.Tab("Inference"):
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with gr.Tab("3 - Inference"):
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with gr.Row():
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with gr.Column() as col1:
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xtts_checkpoint = gr.Textbox(
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