Update app.py

app.py

@@ -31,30 +31,14 @@ demo = gr.Interface(
     title="Audio Transcription HNM",
     description="Upload an audio file to transcribe it into text",
 )
-    
 
 if __name__ == "__main__":
-    
-    # Add the Groq badge
-    gr.HTML("""
-    <div id="groq-badge">
-        <div style="color: #f55036; font-weight: bold;">POWERED BY GROQ</div>
-    </div>
-    """)
-    
-    submit_button.click(
-        process_audio,
-        inputs=[audio_input, api_key_input],
-        outputs=[transcription_output, response_output]
-    )
-    
-    gr.Markdown("""
-    ## How to use this app:
-    1. Enter your [Groq API Key](https://console.groq.com/keys) in the provided field.
-    2. Click on the upload section and provide a supported audio file. Supported audio files include mp3, mp4, mpeg, mpga, m4a, wav, and webm file types.
-    3. Click the "Process" button to transcribe your speech and generate a response from our AI assistant.
-    4. The transcription and AI assistant response will appear in the respective text boxes.
-    
-    """)
-    
     demo.launch()
+
+"""
+## How to use this app:
+1. Enter your [Groq API Key](https://console.groq.com/keys) in the provided field.
+2. Click on the upload section and provide a supported audio file. Supported audio files include mp3, mp4, mpeg, mpga, m4a, wav, and webm file types.
+3. Click the "Process" button to transcribe your speech and generate a response from our AI assistant.
+4. The transcription and AI assistant response will appear in the respective text boxes.
+"""