Update main/app/tabs/inference/inference.py

main/app/tabs/inference/inference.py

@@ -458,21 +458,17 @@ def inference_tabs():
             gr.Markdown(translations["convert_with_whisper_info"])
         with gr.Row():
             with gr.Column():
-                
                 with gr.Accordion(translations["model_accordion"] + " 1", open=True):
                     with gr.Row():
                         model_pth2 = gr.Dropdown(label=translations["model_name"], choices=model_name, value=model_name[0] if len(model_name) >= 1 else "", interactive=True, allow_custom_value=True)
                         model_index2 = gr.Dropdown(label=translations["index_path"], choices=index_path, value=index_path[0] if len(index_path) >= 1 else "", interactive=True, allow_custom_value=True)
-                        
                         refesh2 = gr.Button(translations["refesh"])
                 with gr.Accordion(translations["model_accordion"] + " 2", open=True):
                     with gr.Row():
                         model_pth3 = gr.Dropdown(label=translations["model_name"], choices=model_name, value=model_name[0] if len(model_name) >= 1 else "", interactive=True, allow_custom_value=True)
                         model_index3 = gr.Dropdown(label=translations["index_path"], choices=index_path, value=index_path[0] if len(index_path) >= 1 else "", interactive=True, allow_custom_value=True)
                         refesh3 = gr.Button(translations["refesh"])
-                    
                 with gr.Group():
-                
                     with gr.Row():
                         cleaner2 = gr.Checkbox(label=translations["clear_audio"], value=False, interactive=True)
                         autotune2 = gr.Checkbox(label=translations["autotune"], value=False, interactive=True)
@@ -485,9 +481,9 @@ def inference_tabs():
                 convert_button3 = gr.Button(translations["convert_audio"], variant="primary")
         with gr.Row():
             with gr.Column():
-                    with gr.Row():
-                        pitch3 = gr.Slider(minimum=-20, maximum=20, step=1, info=translations["pitch_info"], label=translations["pitch"], value=0, interactive=True)
-                        index_strength2 = gr.Slider(label=translations["index_strength"], info=translations["index_strength_info"], minimum=0, maximum=1, value=0.5, step=0.01, interactive=True, visible=model_index2.value != "")
+                with gr.Row():
+                    pitch3 = gr.Slider(minimum=-20, maximum=20, step=1, info=translations["pitch_info"], label=translations["pitch"], value=0, interactive=True)
+                    index_strength2 = gr.Slider(label=translations["index_strength"], info=translations["index_strength_info"], minimum=0, maximum=1, value=0.5, step=0.01, interactive=True, visible=model_index2.value != "")
                 with gr.Accordion(translations["input_output"], open=False):
                     with gr.Column():
                         export_format2 = gr.Radio(label=translations["export_format"], info=translations["export_info"], choices=["wav", "mp3", "flac", "ogg", "opus", "m4a", "mp4", "aac", "alac", "wma", "aiff", "webm", "ac3"], value="wav", interactive=True)