Update app.py

app.py

@@ -97,18 +97,18 @@ class App:
             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)
+            cb_diarize = gr.Checkbox(value=diarization_params["is_diarize"], label="Speaker diarization",interactive=True)
+            tb_hf_token = gr.Text(label="HuggingFace Token", value=diarization_params["hf_token"],
+                      info="This is only needed the first time you download the model. If you already have"
+                           " models, you don't need to enter. To download the model, you must manually go "
+                           "to https://huggingface.co/pyannote/speaker-diarization-3.1 and agree to"
+                           " their requirement.")
 
         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"],
-                                  info="This is only needed the first time you download the model. If you already have"
-                                       " models, you don't need to enter. To download the model, you must manually go "
-                                       "to https://huggingface.co/pyannote/speaker-diarization-3.1 and agree to"
-                                       " their requirement.")
             dd_diarization_device = gr.Dropdown(label="Device",
                                                 choices=self.whisper_inf.diarizer.get_available_device(),
                                                 value=self.whisper_inf.diarizer.get_device())