Update app.py

app.py

@@ -335,7 +335,7 @@ class App:
                             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)    
+                    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]
@@ -343,7 +343,6 @@ class App:
                     btn_run.click(fn=self.whisper_inf.transcribe_file,
                                   inputs=params + whisper_params.as_list(),
                                   outputs=[tb_indicator, files_subtitles, tb_info])
-                    # btn_run.click(fn=self.update_dataframe,inputs=[cb_timestamp_preview,cb_diarize],outputs=tb_indicator)
                     # btn_openfolder.click(fn=lambda: self.open_folder("outputs"), inputs=None, outputs=None)
 
                     input_multi.change(fn=self.update_viewer,inputs=input_multi,outputs=[input_file_audio,input_file_video,input_file_multi])
@@ -392,20 +391,6 @@ class App:
         else:
             return gr.update(visible=False), gr.update(visible=False), gr.update(visible=True)
 
-    @staticmethod
-    def update_dataframe(value_cb_timestamp_preview,value_cb_diarize,value_input_multi):
-        
-        if value_cb_timestamp_preview==True and value_cb_diarize==True:
-            return gr.Dataframe(headers=["Time","Speaker","Text"],column_widths=["10%","15%","70%"],datatype=["str","str","markdown"])
-        elif value_cb_timestamp_preview==True and value_cb_diarize==False:
-            return gr.Dataframe(headers=["Time","Text"],column_widths=["10%","85%"],datatype=["str","markdown"])
-        elif value_cb_timestamp_preview==False and value_cb_diarize==True:
-            return gr.Dataframe(headers=["Speaker","Text"],column_widths=["15%","80%"],datatype=["str","markdown"])
-        elif value_cb_timestamp_preview==False and value_cb_diarize==False:
-            return gr.Dataframe(headers=["Text"],column_widths=["95%"],datatype=["markdown"])
-        else:
-            return gr.Dataframe(headers=["Text"],column_widths=["95%"],datatype=["markdown"])
-
 # Create the parser for command-line arguments
 parser = argparse.ArgumentParser()
 parser.add_argument('--whisper_type', type=str, default="faster-whisper",