Update app.py

app.py

@@ -96,11 +96,11 @@ class App:
             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")
             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")
-            cb_translate = gr.Checkbox(value=whisper_params["is_translate"], label="Translate",interactive=True, info="Translate output to English")
+            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, visible=False)
             dd_file_format = gr.Dropdown(choices=["TXT","SRT"], value="TXT", label="Output format", visible=False, info="Output preview format")
 
-        with gr.Accordion("Diarization options", open=False):
+        with gr.Accordion("Diarization options", open=False, visible=False):
             cb_diarize = gr.Checkbox(value=diarization_params["is_diarize"], label="Speaker diarization (Token required)",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"