Update src/webui.py

src/webui.py

@@ -221,8 +221,8 @@ if __name__ == '__main__':
                             reverb_damping = gr.Slider(0, 1, value=0.7, label='Damping level', info='Absorption of high frequencies in the reverb')
                     
             output_format = gr.Dropdown(['mp3', 'wav'], value='mp3', label='Output file type', info='mp3: small file size, decent quality. wav: Large file size, best quality')
-
-            clear_btn = gr.ClearButton(value='Clear Settings', components=[song_input, rvc_model, keep_files, local_file])
+            with gr.Column():   
+                clear_btn = gr.ClearButton(value='Clear Settings', components=[song_input, rvc_model, keep_files, local_file])
                  
             with gr.Row():
                 generate_btn = gr.Button("Generate", variant='primary')
@@ -243,20 +243,17 @@ if __name__ == '__main__':
                                      protect, f0_method, crepe_hop_length, pitch_all, reverb_rm_size, reverb_wet,
                                      reverb_dry, reverb_damping, output_format, ai_cover])
 
-        # Download tab
-        with gr.Tab('Download model'):
-
-            with gr.Tab('From HuggingFace/Pixeldrain URL'):
-                with gr.Row():
-                    model_zip_link = gr.Text(label='Download link to model', info='Should be a zip file containing a .pth model file and an optional .index file.')
-                    model_name = gr.Text(label='Name your model', info='Give your new model a unique name from your other voice models.')
-
-                download_btn = gr.Button('Download 🌐', variant='primary', scale=19)
-                with gr.Row():
-                    dl_output_message = gr.Text(label='Output Message', interactive=False, scale=20)
+            # Download tab
+            with gr.Tab('Download model'):
+                with gr.Tab('From HuggingFace/Pixeldrain URL'):
+                    with gr.Row():
+                        model_zip_link = gr.Text(label='Download link to model', info='Should be a zip file containing a .pth model file and an optional .index file.')
+                        model_name = gr.Text(label='Name your model', info='Give your new model a unique name from your other voice models.')
+                    download_btn = gr.Button('Download 🌐', variant='primary', scale=19)
+                    with gr.Row():
+                        dl_output_message = gr.Text(label='Output Message', interactive=False, scale=20)
+                    download_btn.click(download_online_model, inputs=[model_zip_link, model_name], outputs=dl_output_message)
                     
-                download_btn.click(download_online_model, inputs=[model_zip_link, model_name], outputs=dl_output_message)
-
                 gr.Markdown('## Input Examples')
                 gr.Examples(
                     [
@@ -297,23 +294,22 @@ if __name__ == '__main__':
                 download_pub_btn.click(download_online_model, inputs=[pub_zip_link, pub_model_name], outputs=pub_dl_output_message)
 
         
-        with gr.Tab('Upload model'):
-            gr.Markdown('## Upload locally trained RVC v2 model and index file')
-            gr.Markdown('- Find model file (weights folder) and optional index file (logs/[name] folder)')
-            gr.Markdown('- Compress files into zip file')
-            gr.Markdown('- Upload zip file and give unique name for voice')
-            gr.Markdown('- Click Upload model')
-
-            with gr.Row():
-                with gr.Column():
-                    zip_file = gr.File(label='Zip file')
-
-                local_model_name = gr.Text(label='Model name')
-
-            with gr.Row():
-                model_upload_button = gr.Button('Upload model', variant='primary', scale=19)
-                local_upload_output_message = gr.Text(label='Output Message', interactive=False, scale=20)
-                model_upload_button.click(upload_local_model, inputs=[zip_file, local_model_name], outputs=local_upload_output_message)
+            with gr.Tab('Upload model'):
+                gr.Markdown('## Upload locally trained RVC v2 model and index file')
+                gr.Markdown('- Find model file (weights folder) and optional index file (logs/[name] folder)')
+                gr.Markdown('- Compress files into zip file')
+                gr.Markdown('- Upload zip file and give unique name for voice')
+                gr.Markdown('- Click Upload model')
+                
+                with gr.Row():
+                    with gr.Column():
+                        zip_file = gr.File(label='Zip file')
+                        
+                    local_model_name = gr.Text(label='Model name')
+                with gr.Row():
+                    model_upload_button = gr.Button('Upload model', variant='primary', scale=19)
+                    local_upload_output_message = gr.Text(label='Output Message', interactive=False, scale=20)
+                    model_upload_button.click(upload_local_model, inputs=[zip_file, local_model_name], outputs=local_upload_output_message)
 
     app.launch(
         share=args.share_enabled,