Update app.py

app.py

@@ -90,8 +90,10 @@ def get_transcript_url(url):
 
     df = pd.DataFrame(res)
     df = df.loc[:, ["text", "sentiment", "confidence"]]
+
+    topic = transcription_result['iab_categories_result']['summary']
     
-    return transcription_result['text'], transcription_result['summary'], df
+    return transcription_result['text'], transcription_result['summary'], df, topic
 
 # def get_transcript_file(filename):
 
@@ -187,10 +189,12 @@ with gr.Blocks() as demo:
            summary = gr.Textbox(label = "Summary Result")
         with gr.TabItem('Sentiment Analysis', visible = False) as sentiment_tab:
             sentiment_analysis = gr.Dataframe(label = "Sentiment Analysis Result" )
+        with gr.TabItem('Topic Detection', visible = False) as topic_detection_tab:
+            topic_detection = gr.Textbox(label = "Topic Detection Result" )
         
     
-    inputs.submit(get_transcript_url, [inputs], [transcript, summary, sentiment_analysis])
-    b1.click(get_transcript_url, [inputs], [transcript, summary, sentiment_analysis])
+    inputs.submit(get_transcript_url, [inputs], [transcript, summary, sentiment_analysis, topic_detection])
+    b1.click(get_transcript_url, [inputs], [transcript, summary, sentiment_analysis,topic_detection])
 
     examples = gr.Examples(examples = [["https://github.com/AssemblyAI-Examples/assemblyai-and-python-in-5-minutes/blob/main/audio.mp3?raw=true"]], inputs = inputs, outputs=[transcript, summary, sentiment_analysis], cache_examples = True, fn = get_transcript_url)