Update app.py

app.py

@@ -122,15 +122,15 @@ class App:
                     cb_translate = gr.Checkbox(value=whisper_params["is_translate"], label="Translate to English", info="Translate using OpenAI Whisper's built-in module",interactive=True)
                     cb_translate_output = gr.Checkbox(value=translation_params["translate_output"], label="Translate to selected language", info="Translate using Facebook's NLLB",interactive=True)
 
-        with gr.Accordion("Diarization options", open=False, visible=True):
-            tb_hf_token = gr.Text(label="Token", value=diarization_params["hf_token"],info="An access token is required to use diarization & can be created [here](https://hf.co/settings/tokens). If not done yet for your account, you need to accept the terms & conditions of [diarization](https://huggingface.co/pyannote/speaker-diarization-3.1) & [segmentation](https://huggingface.co/pyannote/segmentation-3.0).")
-            dd_diarization_device = gr.Dropdown(label="Device",
-                                                choices=self.whisper_inf.diarizer.get_available_device(),
-                                                value=self.whisper_inf.diarizer.get_device(),
-                                                interactive=True, visible=False)
-
-        with gr.Accordion("Preprocessing options", open=False, visible=True):
-        
+        with gr.Accordion("Options", open=False, visible=True):
+
+            with gr.Accordion("Diarization", open=False, visible=True):
+                tb_hf_token = gr.Text(label="Token", value=diarization_params["hf_token"],info="An access token is required to use diarization & can be created [here](https://hf.co/settings/tokens). If not done yet for your account, you need to accept the terms & conditions of [diarization](https://huggingface.co/pyannote/speaker-diarization-3.1) & [segmentation](https://huggingface.co/pyannote/segmentation-3.0).")
+                dd_diarization_device = gr.Dropdown(label="Device",
+                                                    choices=self.whisper_inf.diarizer.get_available_device(),
+                                                    value=self.whisper_inf.diarizer.get_device(),
+                                                    interactive=True, visible=False)
+            
             with gr.Accordion("Voice Detection Filter", open=False, visible=True):
                 cb_vad_filter = gr.Checkbox(label="Enable Silero VAD Filter", value=vad_params["vad_filter"],
                                             info="Enable to transcribe only detected voice parts",