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modify app
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app.py
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@@ -141,8 +141,10 @@ def perform_ito(input_audio, reference_audio, ito_reference_audio, num_steps, op
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""" APP display """
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with gr.Blocks() as demo:
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gr.Markdown("# Mastering Style Transfer
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with gr.Tab("Upload Audio"):
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with gr.Row():
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@@ -189,7 +191,7 @@ with gr.Blocks() as demo:
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outputs=[output_audio_yt, param_output_yt, error_message_yt]
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)
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gr.Markdown("## Inference Time Optimization (ITO)")
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with gr.Row():
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ito_reference_audio = gr.Audio(label="ITO Reference Audio (optional)")
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@@ -242,20 +244,8 @@ with gr.Blocks() as demo:
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y_min = loss_df['loss'].min()
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y_max = loss_df['loss'].max()
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# Create a new plot configuration
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plot_config = {
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"x": "step",
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"y": "loss",
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"title": "ITO Loss Curve",
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"x_title": "Step",
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"y_title": "Loss",
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"height": 300,
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"width": 600,
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"y_lim": [y_min, y_max],
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}
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# Return the plot configuration along with the data
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return final_audio, final_params, final_log,
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ito_button.click(
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""" APP display """
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gr.Markdown("# ITO-Master: Inference Time Optimization for Mastering Style Transfer")
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with gr.Blocks() as demo:
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gr.Markdown("# Step 1: Mastering Style Transfer")
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with gr.Tab("Upload Audio"):
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with gr.Row():
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outputs=[output_audio_yt, param_output_yt, error_message_yt]
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)
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gr.Markdown("## Step 2: Inference Time Optimization (ITO)")
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with gr.Row():
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ito_reference_audio = gr.Audio(label="ITO Reference Audio (optional)")
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y_min = loss_df['loss'].min()
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y_max = loss_df['loss'].max()
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# Return the plot configuration along with the data
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return final_audio, final_params, final_log, loss_df
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ito_button.click(
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