Update app.py

app.py

@@ -41,24 +41,31 @@ def get_transcript_sentiment(url):
 with gr.Blocks() as demo:
     gr.Markdown(
         """
-    # Provide MP3 -> Whisper generates captions -> Hugging Face generates sentiment
+    # Provide MP3 ->  
+    # Whisper generates captions ->  
+    # Hugging Face generates sentiment  
     Paste the URL of an audio file (mp3) into the box and get the sentiment.
     """
     )
     with gr.Column(scale=1, min_width=800):
         text_input = gr.Text(placeholder='MP3 URL here', label='URL')
-        df_output = gr.DataFrame(wrap=True, max_rows=10)
+        df_output = gr.DataFrame(wrap=True, max_rows=10, headers=['Transcript Sentence', 'Sentiment', 'Score'])
         run_btn = gr.Button('Submit')
         run_btn.click(fn=get_transcript_sentiment, inputs=text_input, outputs=df_output)
         
-    gr.Markdown('### Example 1: [San Francisco Government Public Defender Candidate Statements](https://sanfrancisco.granicus.com/player/clip/42153?view_id=74&redirect=true&h=31a924a5a2f50ac4f57f07b44f58331c)')
-           
+    gr.Markdown('''
+    ### Example 1:  
+    [San Francisco Government Public Defender Candidate Statements](https://sanfrancisco.granicus.com/player/clip/42153?view_id=74&redirect=true&h=31a924a5a2f50ac4f57f07b44f58331c)
+    '''
+    )
     gr.Examples(
-        [['https://archive-media2.granicus.com/OnDemand/sanfrancisco/sanfrancisco_33cae840-42ed-458b-8eaf-bd4760747ab0.mp3'], ['https://archive-media2.granicus.com/OnDemand/sanfrancisco/sanfrancisco_8c0f76b6-527a-4702-b117-ed40c1eb26fd.mp3']],
+        [['https://archive-media2.granicus.com/OnDemand/sanfrancisco/sanfrancisco_33cae840-42ed-458b-8eaf-bd4760747ab0.mp3'],
         [text_input],
         fn=get_transcript_sentiment,
-        label='Example 1'
+        label='Click to insert example URL'
         )
 
+
+
      
 demo.launch()