Update app.py

app.py

@@ -100,21 +100,18 @@ class App:
         with gr.Row():
             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")
-
-        with gr.Row():
-            cb_translate = gr.Checkbox(value=whisper_params["is_translate"], label="Translate to English",interactive=True)
+            cb_translate = gr.Checkbox(value=whisper_params["is_translate"], label="Translate to English",interactive=True, visible=False)
             cb_timestamp = gr.Checkbox(value=whisper_params["add_timestamp"], label="Add timestamp to output file",interactive=True, visible=True)
             #dd_file_format = gr.Dropdown(choices=["SRT", "WebVTT", "txt"], value="SRT", label="File Format")
             dd_file_format = gr.Dropdown(choices=["TXT","SRT"], value="TXT", label="Output format", visible=False, info="Output preview format")
 
         # Parameters for translation
         with gr.Row():
-            dd_model_size = gr.Dropdown(label="Model", value=nllb_params["model_size"],choices=self.nllb_inf.available_models)
-            dd_source_lang = gr.Dropdown(label="Source Language", value=nllb_params["source_lang"],choices=self.nllb_inf.available_source_langs)
-            #dd_target_lang = gr.Dropdown(label="Target Language", value=nllb_params["target_lang"],choices=self.nllb_inf.available_target_langs)
-            dd_target_lang = gr.Dropdown(label="Target Language", value="Dutch",choices=["English","Dutch","French","German"])
-            nb_max_length = gr.Number(label="Max Length Per Line", value=nllb_params["max_length"],precision=0,interactive=True)
-
+            cb_translate_output = gr.Checkbox(value=False, label="Translate output",interactive=True)
+            dd_translate_model = gr.Dropdown(choices=self.nllb_inf.available_models, value=nllb_params["model_size"],label="Model")
+            #dd_target_lang = gr.Dropdown(choices=self.nllb_inf.available_target_langs, value=nllb_params["target_lang"],label="Target Language")
+            dd_target_lang = gr.Dropdown(choices=["English","Dutch","French","German"], value=nllb_params["target_lang"],label="Target Language")
+            
 #        with gr.Accordion("Speaker diarization", open=False, visible=True):
 #            cb_diarize = gr.Checkbox(value=diarization_params["is_diarize"], label="Use diarization",interactive=True)
 #            tb_hf_token = gr.Text(label="Token", value=diarization_params["hf_token"],info="Required to use diarization")