Update app.py

app.py

@@ -93,18 +93,18 @@ class App:
         uvr_params = self.default_params["bgm_separation"]
 
         with gr.Row():
-                with gr.Column(scale=3):
-                    dd_model = gr.Dropdown(choices=self.whisper_inf.available_models, value=whisper_params["model_size"],label="Model", info="Larger models will increase the quality of the transcription, but reduce performance")
-                with gr.Column(scale=3):
-                    dd_lang = gr.Dropdown(choices=["Automatic Detection"] + self.whisper_inf.available_langs,value=whisper_params["lang"], label="Language", info="If the language is known upfront, always set it manually")
-                    #dd_file_format = gr.Dropdown(choices=["SRT", "WebVTT", "txt"], value="SRT", label="File Format")
-                    dd_file_format = gr.Dropdown(choices=["SRT", "txt"], value="txt", label="Output format", visible=False)
-                with gr.Column(scale=1):
-                    cb_diarize = gr.Checkbox(value=diarization_params["is_diarize"], label="Speaker diarization",interactive=True)
-                with gr.Column(scale=1):
-                    cb_translate = gr.Checkbox(value=whisper_params["is_translate"], label="Translate to English",interactive=True)
-                with gr.Column(scale=1):
-                    cb_timestamp = gr.Checkbox(value=whisper_params["add_timestamp"], label="Add timestamp to output file",interactive=True)
+            with gr.Column(scale=2):
+                dd_model = gr.Dropdown(choices=self.whisper_inf.available_models, value=whisper_params["model_size"],label="Model", info="Larger models will increase the quality of the transcription, but reduce performance")
+            with gr.Column(scale=2):
+                dd_lang = gr.Dropdown(choices=["Automatic Detection"] + self.whisper_inf.available_langs,value=whisper_params["lang"], label="Language", info="If the language is known upfront, always set it manually")
+            with gr.Column(scale=1):
+                #dd_file_format = gr.Dropdown(choices=["SRT", "WebVTT", "txt"], value="SRT", label="File Format")
+                dd_file_format = gr.Dropdown(choices=["SRT", "txt"], value="txt", label="Output format", visible=False)
+
+        with gr.Row():
+            cb_diarize = gr.Checkbox(value=diarization_params["is_diarize"], label="Speaker diarization",interactive=True)
+            cb_translate = gr.Checkbox(value=whisper_params["is_translate"], label="Translate to English",interactive=True)
+            cb_timestamp = gr.Checkbox(value=whisper_params["add_timestamp"], label="Add timestamp to output file",interactive=True)
 
         with gr.Accordion("Diarization options", open=False):
             tb_hf_token = gr.Text(label="HuggingFace Token", value=diarization_params["hf_token"],