Update app.py

app.py

@@ -4,22 +4,22 @@ import soundfile as sf
 import tempfile
 import os
 
-# URL of your dedicated processing server (adjust port/path if needed)
+# URL of your dedicated processing server.
+# Adjust the SERVER_URL (and port/endpoint) as needed.
 SERVER_URL = "http://204.12.245.139:5000/process_audio"
 
 def process_audio(audio):
     """
-    Process the input audio:
-      - Expects 'audio' as a tuple: (sample_rate, numpy_array)
-      - Writes the audio data to a temporary WAV file
-      - Sends the file via POST to your server endpoint
-      - Returns the transcription (or server response) as text
+    Receives audio from the browser (a tuple: (sample_rate, numpy_array)),
+    writes it to a temporary WAV file, then sends it in a POST request
+    to your GPU-accelerated server endpoint. Expects a JSON response with either
+    a 'transcription' or 'response' key.
     """
     if audio is None:
         return "No audio provided. Please record something."
     
     sample_rate, audio_data = audio
-    # Write the audio data to a temporary WAV file.
+    # Write audio to a temporary WAV file
     with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp_file:
         wav_path = tmp_file.name
         sf.write(wav_path, audio_data, sample_rate)
@@ -30,7 +30,7 @@ def process_audio(audio):
             response = requests.post(SERVER_URL, files=files, timeout=30)
         if response.status_code == 200:
             json_data = response.json()
-            # Expect server to return a key 'transcription' or 'response'
+            # Try to retrieve 'transcription' then fallback to 'response'
             result = json_data.get("transcription") or json_data.get("response")
             if not result:
                 result = "Server processed the audio, but did not return a result."
@@ -40,22 +40,22 @@ def process_audio(audio):
         result = f"Exception during processing: {e}"
     finally:
         os.remove(wav_path)
-    
     return result
 
 # Create a Gradio interface.
-# Note: We removed "source" from gr.Audio to ensure compatibility with your Gradio version.
+# Note: The "source" keyword is omitted because your installed Gradio version does not accept it.
 iface = gr.Interface(
     fn=process_audio,
     inputs=gr.Audio(type="numpy", label="Record Your Voice"),
     outputs=gr.Textbox(label="Server Response"),
     title="Live AI Call Agent – Browser Mic Frontend",
     description=(
-        "Record audio using your browser microphone. The audio will be sent to our dedicated server "
-        "for processing with GPU acceleration. Your server should return a transcription or generated response."
+        "Record audio using your browser microphone. The audio will be sent to our dedicated "
+        "server for processing with GPU acceleration. Your server should return a transcription or "
+        "an AI-generated response."
     )
 )
 
 if __name__ == "__main__":
-    # Launch the Gradio app to listen on all interfaces. Hugging Face Spaces will assign a public URL.
+    # Launch the app so that it listens on all interfaces. Adjust the port if needed.
     iface.launch(server_name="0.0.0.0", server_port=7860)