Update app.py

app.py

@@ -98,22 +98,20 @@ class App:
         nllb_params = translation_params["nllb"]
 
         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")
-            cb_translate = gr.Checkbox(value=whisper_params["is_translate"], label="Translate to English",interactive=True, visible=False)
-            #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", info="Output preview format", visible=False)           
-        
-        with gr.Row():
-            #dd_translate_model = gr.Dropdown(choices=self.nllb_inf.available_models, value=nllb_params["model_size"],label="Model", info="Model used for translation")
-            dd_translate_model = gr.Dropdown(choices=self.whisper_inf.available_models, value=whisper_params["model_size"],label="Model", info="Model used for translation")
-            #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", info="Language used for output translation")
-
-        with gr.Row():
-            cb_timestamp = gr.Checkbox(value=whisper_params["add_timestamp"], label="Add timestamp to output file",interactive=True)
-            cb_translate_output = gr.Checkbox(value=translation_params["translate_output"], label="Translate output",interactive=True) 
-            
+            with gr.Column(scale=2):
+                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")
+                cb_translate = gr.Checkbox(value=whisper_params["is_translate"], label="Translate to English",interactive=True, visible=False)
+                #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", info="Output preview format", visible=False)  
+            with gr.Column(scale=2):
+                dd_translate_model = gr.Dropdown(choices=self.nllb_inf.available_models, value=nllb_params["model_size"],label="Model", info="Model used for translation")
+                #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", info="Language used for output translation")
+            with gr.Column(scale=1):    
+                cb_timestamp = gr.Checkbox(value=whisper_params["add_timestamp"], label="Add timestamp to output file",interactive=True)
+                cb_translate_output = gr.Checkbox(value=translation_params["translate_output"], label="Translate output",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)
 #            tb_hf_token = gr.Text(label="Token", value=diarization_params["hf_token"],info="Required to use diarization")