Update app.py

app.py

@@ -220,7 +220,7 @@ def translate_transcriptions(df, selected_translation_lang_2):
     
     print("translations done")
 
-    return (df)
+    return df
 
 
 def create_srt_and_burn(df, video_in):
@@ -284,14 +284,13 @@ video_out = gr.Video(label="Video Out", mirror_webcam=False)
 
 
 df_init = pd.DataFrame(columns=['start','end','text'])
-df_init_2 = pd.DataFrame(columns=['start','end','text','translation'])
 
 selected_source_lang = gr.Dropdown(choices=source_language_list, type="value", value="Let the model analyze", label="Spoken language in video", interactive=True)
 selected_translation_lang_2 = gr.Dropdown(choices=translation_models_list, type="value", value="English", label="In which language you want the transcriptions?", interactive=True)
 selected_whisper_model = gr.Dropdown(choices=whisper_models, type="value", value="base", label="Selected Whisper model", interactive=True)
 
 transcription_df = gr.DataFrame(value=df_init,label="Transcription dataframe", row_count=(0, "dynamic"), max_rows = 10, wrap=True, overflow_row_behaviour='paginate')
-transcription_and_translation_df = gr.DataFrame(value=df_init_2,label="Transcription and translation dataframe", max_rows = 10, wrap=True, overflow_row_behaviour='paginate')
+transcription_and_translation_df = gr.DataFrame(value=df_init,label="Transcription and translation dataframe", max_rows = 10, wrap=True, overflow_row_behaviour='paginate')
 
 
 demo = gr.Blocks(css='''