Update app.py

app.py

@@ -101,9 +101,6 @@ class App:
                     input_multi = gr.Radio(["Audio", "Video", "Multiple"], label="Process one or multiple files", value="Audio")
                 with gr.Row():
                     dd_file_format = gr.Dropdown(choices=["CSV","SRT","TXT"], value="CSV", label="Output format", multiselect=True, interactive=True, visible=True)
-                with gr.Row():                    
-                    cb_timestamp_preview = gr.Checkbox(value=whisper_params["add_timestamp_preview"],label="Show preview with timestamps", interactive=True)
-                    cb_timestamp_file = gr.Checkbox(value=whisper_params["add_timestamp_file"], label="Add timestamp to filenames", interactive=True)
             with gr.Column(scale=4):
                 input_file_audio = gr.Audio(type='filepath', elem_id="audio_input", show_download_button=True, visible=True, interactive=True)
                 input_file_video = gr.Video(elem_id="audio_input", show_download_button=True, visible=False, interactive=True)
@@ -118,6 +115,9 @@ 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_preview = gr.Checkbox(value=whisper_params["add_timestamp_preview"],label="Add timestamps to preview", interactive=True)
+                    cb_timestamp_file = gr.Checkbox(value=whisper_params["add_timestamp_file"], label="Add timestamp to filenames", 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)
                     cb_translate_output = gr.Checkbox(value=translation_params["translate_output"], label="Translate to selected language", info="Translate using Facebook's NLLB",interactive=True)
@@ -330,7 +330,7 @@ class App:
                             with gr.Row():
                                 tb_indicator = gr.Dataframe(label="Output preview (Always review output generated by AI models)",
                                                             headers= ["Time","Speaker","Text"],
-                                                            column_widths = ["5%","10%","85%"],
+                                                            column_widths = ["10%","10%","79%"],
                                                             datatype = ["str","str","markdown"],
                                                             show_search="search",
                                                             wrap=True,