Update app.py

app.py

@@ -131,7 +131,7 @@ with gr.Blocks(css = css) as demo:
             """)
     gr.HTML('''
      <p style="margin-bottom: 10px; font-size: 94%">
-                Whisper is a general-purpose speech recognition model released by OpenAI that can perform multilingual speech recognition as well as speech translation and language identification. Combined with a emotion detection model,this allows for detecting emotion directly from speech in multiple languages and can potentially be used to analyze setiment from customer calls.
+                Whisper is a general-purpose speech recognition model released by OpenAI that can perform multilingual speech recognition as well as speech translation and language identification. Combined with a emotion detection model,this allows for detecting emotion directly from speech in multiple languages and can potentially be used to analyze sentiment from customer calls.
               </p>
               ''')
     
@@ -150,7 +150,7 @@ with gr.Blocks(css = css) as demo:
             emotion_output = gr.Textbox(label = "Detected Emotion")
     
     transcribe_audio_r.click(translate_and_classify, inputs = audio_input_r, outputs = [transcript_output,emotion_output])
-    transcribe_audio_u.click(translate_and_classify, inputs = audio_input_u, outputs = [transcript_output,emotion_output])    
+    transcribe_audio_u.click(translate_and_classify, inputs = audio_input_u, outputs = [transcript_output,emotion_output])   
     gr.HTML('''
         <div class="footer">
                     <p>Whisper Model by <a href="https://github.com/openai/whisper" style="text-decoration: underline;" target="_blank">OpenAI</a> -   
@@ -158,6 +158,7 @@ with gr.Blocks(css = css) as demo:
                     </p>
         </div>
         ''')
+    #gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=nickmuchi-earnings-call-whisperer)")
     
     
 demo.launch()