Update app.py

app.py

@@ -106,12 +106,12 @@ class App:
                     dd_translate_model = gr.Dropdown(choices=self.nllb_inf.available_models, value=nllb_params["model_size"],label="Model", info="Model used for translation", interactive=True)
                     dd_target_lang = gr.Dropdown(choices=["English","Dutch","French","German"], value=nllb_params["target_lang"],label="Language", info="Language used for output translation", interactive=True)
             with gr.Column(scale=1):
+                with gr.Row():
+                    cb_timestamp = gr.Checkbox(value=whisper_params["add_timestamp"], label="Add timestamp to output file",interactive=True)
+                with gr.Row():
+                    cb_translate = gr.Checkbox(value=whisper_params["is_translate"], label="Translate to English", info="Translate using OpenAI Whisper's built-in module",interactive=True)
                 #with gr.Row():
-                cb_timestamp = gr.Checkbox(value=whisper_params["add_timestamp"], label="Add timestamp to output file",interactive=True)
-                #with gr.Row():
-                cb_translate = gr.Checkbox(value=whisper_params["is_translate"], label="Translate to English", info="Translate using OpenAI Whisper's built-in module",interactive=True)
-                #with gr.Row():
-                cb_translate_output = gr.Checkbox(value=translation_params["translate_output"], label="Translate to selected language", info="Translate using Facebook's NLLB",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("Speaker diarization", open=False, visible=True):
             cb_diarize = gr.Checkbox(value=diarization_params["is_diarize"],label="Use diarization",interactive=True)
@@ -122,7 +122,7 @@ class App:
                                                 interactive=True, visible=False)
 
         with gr.Accordion("Preprocessing options", open=False, visible=True):
-            gr.Markdown(value="<b>⚠ Experimental features (Use with caution)</b>")
+            gr.Markdown(value="<span style="color:red">⚠ Experimental features (Use with caution)</span>")
             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",