Update app.py

app.py

@@ -326,18 +326,15 @@ class App:
                         btn_reset = gr.Button(value="Reset")
                         btn_reset.click(None,js="window.location.reload()")
                     with gr.Row():
-                        #with gr.Column(scale=4):
+                        with gr.Column(scale=4):
                             #tb_indicator = gr.Textbox(label="Output preview (Always review output generated by AI models)", show_copy_button=True, show_label=True)
-                            #with gr.Row():
-                            #    tb_indicator = gr.Dataframe(label="Output preview (Always review output generated by AI models)", headers=[""], show_search="search", wrap=True, line_breaks=True, show_label=True, show_copy_button=True, show_fullscreen_button=True, interactive=False, elem_id="md_disclaimer")
+                            with gr.Row():
+                                tb_indicator = gr.Dataframe(label="Output preview (Always review output generated by AI models)", headers=[""], show_search="search", wrap=True, line_breaks=True, show_label=True, show_copy_button=True, show_fullscreen_button=True, interactive=False, elem_id="md_disclaimer")
                         with gr.Column(scale=1):
                             tb_info = gr.Textbox(label="Output info", interactive=False, show_copy_button=True)
                             files_subtitles = gr.Files(label="Output data", interactive=False, file_count="multiple")
                             # btn_openfolder = gr.Button('📂', scale=1)                        
-
-                    tb_indicator = gr.Dataframe(label="Output preview (Always review output generated by AI models)", headers=[""], show_search="search", wrap=True, line_breaks=True, show_label=True, show_copy_button=True, show_fullscreen_button=True, interactive=False, elem_id="md_disclaimer")    
-
-                    
+         
                     params = [input_file_audio, input_file_video, input_file_multi, input_multi, tb_input_folder, dd_file_format, cb_timestamp_file, cb_translate_output, dd_translate_model, dd_target_lang, cb_timestamp_preview, cb_diarize]
  
                     btn_run.click(fn=self.whisper_inf.transcribe_file,