Update app.py

app.py

@@ -65,8 +65,7 @@ class App:
     def __init__(self, args):
         self.args = args
         #self.app = gr.Blocks(css=CSS, theme=self.args.theme, delete_cache=(60, 3600))
-        #self.app = gr.Blocks(css=CSS, theme=gr.themes.Ocean(), delete_cache=(60, 3600))
-        self.app = gr.Blocks(css=CSS,theme=gr.themes.Ocean(), title="Whisper - Automatic speech recognition", delete_cache=(60, 3600))
+        self.app = gr.Blocks(css=CSS,theme=gr.themes.Ocean(), title="Automatic speech recognition", delete_cache=(60, 3600))
         self.whisper_inf = WhisperFactory.create_whisper_inference(
             whisper_type=self.args.whisper_type,
             whisper_model_dir=self.args.whisper_model_dir,
@@ -98,19 +97,24 @@ class App:
         nllb_params = translation_params["nllb"]
 
         with gr.Row():
-            with gr.Column(scale=4):
+            with gr.Column(scale=2):
                 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", interactive=True)
                     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", interactive=True)
                     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", interactive=True, visible=False)
-                with gr.Row():
+            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", 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):    
-                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.Row():
+            with gr.Column(scale=2):
+                with gr.Row():
+                    cb_timestamp = gr.Checkbox(value=whisper_params["add_timestamp"], label="Add timestamp to output file",interactive=True)
+            with gr.Column(scale=2):
+                with gr.Row():
+                    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)