Update app.py

app.py

@@ -410,16 +410,16 @@ with gr.Blocks(
                 roformer_model = gr.Dropdown(value="MelBand Roformer Kim | Big Beta 5e FT by unwa", label="Select the Model", choices=list(ROFORMER_MODELS.keys()), scale=3)
                 roformer_output_format = gr.Dropdown(value="wav", choices=["wav", "flac", "mp3"], label="Output Format", info="The format of the output audio file.", scale=1)
             with gr.Accordion("Advanced settings", open=False):
-                with gr.Column(variant='compact'):
+                with gr.Column(variant='panel'):
                     with gr.Group():
                         roformer_override_seg_size = gr.Checkbox(value=False, label="Override segment size", info="Override model default segment size instead of using the model default value.")
                         roformer_seg_size = gr.Slider(minimum=32, maximum=4000, step=32, value=256, label="Segment Size", info="Larger consumes more resources, but may give better results.")
-                with gr.Column(variant='compact'):
+                with gr.Column(variant='panel'):
                     with gr.Group():
                         with gr.Row():
                             roformer_overlap = gr.Slider(minimum=2, maximum=10, step=1, value=8, label="Overlap", info="Amount of overlap between prediction windows. Lower is better but slower.")
                             roformer_pitch_shift = gr.Slider(minimum=-24, maximum=24, step=1, value=0, label="Pitch shift", info="Shift audio pitch by a number of semitones while processing. may improve output for deep/high vocals.")
-                with gr.Column(variant='compact'):
+                with gr.Column(variant='panel'):
                     with gr.Group():
                         with gr.Row():
                             roformer_batch_size = gr.Slider(minimum=1, maximum=16, step=1, value=1, label="Batch Size", info="Larger consumes more RAM but may process slightly faster.")