Update app.py

app.py

@@ -338,7 +338,7 @@ def update_stems(model):
 
 
 
-with gr.Blocks(title="🎵 Audio-Separator 🎵",theme=gr.themes.Base(primary_hue=gr.themes.colors.red, secondary_hue=gr.themes.colors.pink) as app:
+with gr.Blocks(title="🎵 Audio-Separator 🎵",theme=gr.themes.Base()) as app:
     gr.HTML("<h1> 🎵 Audio-Separator 🎵 </h1>")
     
     with gr.Tab("Roformer"):
@@ -346,10 +346,12 @@ with gr.Blocks(title="🎵 Audio-Separator 🎵",theme=gr.themes.Base(primary_hu
             with gr.Row():
                 roformer_model = gr.Dropdown(label="Select the Model", choices=list(ROFORMER_MODELS.keys()))
             with gr.Row():
-                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.")
-                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_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=-12, maximum=12, 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.Row():
+                    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.")               
+                    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.")
+                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=-12, maximum=12, 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.Row():
             roformer_audio = gr.Audio(label="Input Audio", type="filepath")
         with gr.Row():
@@ -365,6 +367,7 @@ with gr.Blocks(title="🎵 Audio-Separator 🎵",theme=gr.themes.Base(primary_hu
             with gr.Row():
                 mdx23c_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.")
                 mdx23c_override_seg_size = gr.Checkbox(value=False, label="Override segment size", info="Override model default segment size instead of using the model default value.")
+            with gr.Row():
                 mdx23c_overlap = gr.Slider(minimum=2, maximum=50, step=1, value=8, label="Overlap", info="Amount of overlap between prediction windows. Higher is better but slower.")
                 mdx23c_pitch_shift = gr.Slider(minimum=-12, maximum=12, 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.Row():
@@ -382,6 +385,7 @@ with gr.Blocks(title="🎵 Audio-Separator 🎵",theme=gr.themes.Base(primary_hu
             with gr.Row():
                 mdx_hop_length = gr.Slider(minimum=32, maximum=2048, step=32, value=1024, label="Hop Length", info="Usually called stride in neural networks; only change if you know what you're doing.")
                 mdx_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.Row():
                 mdx_overlap = gr.Slider(minimum=0.001, maximum=0.999, step=0.001, value=0.25, label="Overlap", info="Amount of overlap between prediction windows. Higher is better but slower.")
                 mdx_denoise = gr.Checkbox(value=False, label="Denoise", info="Enable denoising after separation.")
         with gr.Row():
@@ -399,10 +403,12 @@ with gr.Blocks(title="🎵 Audio-Separator 🎵",theme=gr.themes.Base(primary_hu
             with gr.Row():
                 vr_window_size = gr.Slider(minimum=320, maximum=1024, step=32, value=512, label="Window Size", info="Balance quality and speed. 1024 = fast but lower, 320 = slower but better quality.")
                 vr_aggression = gr.Slider(minimum=1, maximum=50, step=1, value=5, label="Agression", info="Intensity of primary stem extraction.")
-                vr_tta = gr.Checkbox(value=False, label="TTA", info="Enable Test-Time-Augmentation; slow but improves quality.")
+            with gr.Row():
+            vr_tta = gr.Checkbox(value=False, label="TTA", info="Enable Test-Time-Augmentation; slow but improves quality.")
+            with gr.Row():
                 vr_post_process = gr.Checkbox(value=False, label="Post Process", info="Identify leftover artifacts within vocal output; may improve separation for some songs.")
                 vr_post_process_threshold = gr.Slider(minimum=0.1, maximum=0.3, step=0.1, value=0.2, label="Post Process Threshold", info="Threshold for post-processing.")
-                vr_high_end_process = gr.Checkbox(value=False, label="High End Process", info="Mirror the missing frequency range of the output.")
+            vr_high_end_process = gr.Checkbox(value=False, label="High End Process", info="Mirror the missing frequency range of the output.")
         with gr.Row():
             vr_audio = gr.Audio(label="Input Audio", type="filepath")
         with gr.Row():