Update app.py

app.py

@@ -7,8 +7,10 @@ import io
 
 st.title("Sai Vahini AI Voice Assistant 🕉️")
 
-api_url = "https://saivahini.onrender.com/process_audio"  # Replace if needed
+# ✅ Render API URL (Make sure this matches your deployed API on Render)
+RENDER_API_URL = "https://saivahini.onrender.com/process_audio"  # Update if needed
 
+# ✅ WebRTC audio processing
 def audio_frame_callback(frame):
     audio = frame.to_ndarray(format="s16le")
     audio_bytes = audio.tobytes()
@@ -18,7 +20,7 @@ def audio_frame_callback(frame):
 if "frames" not in st.session_state:
     st.session_state.frames = []
 
-# WebRTC streamer for automatic audio capture
+# ✅ WebRTC streamer for automatic audio capture
 webrtc_streamer(
     key="audio-recorder",
     mode=WebRtcMode.SENDRECV,
@@ -29,6 +31,7 @@ webrtc_streamer(
 if st.button("✅ Process Recorded Audio"):
     if st.session_state.frames:
         with st.spinner("🔄 Processing your voice..."):
+            # ✅ Convert recorded audio frames into WAV format
             audio_bytes = io.BytesIO()
             with wave.open(audio_bytes, "wb") as wf:
                 wf.setnchannels(1)
@@ -38,24 +41,37 @@ if st.button("✅ Process Recorded Audio"):
 
             audio_bytes.seek(0)
 
-            # Send to your API
-            response = requests.post(api_url, files={"file": ("audio.wav", audio_bytes, "audio/wav")})
+            # ✅ Send recorded audio to Render API
+            try:
+                response = requests.post(RENDER_API_URL, files={"file": ("audio.wav", audio_bytes, "audio/wav")})
 
-            if response.status_code == 200:
-                result = response.json()
-                st.success("✅ AI Response:")
-                st.write("**Transcription:**", result["transcription"])
-                st.write("**Answer:**", result["response"])
+                # ✅ Handle API response
+                if response.status_code == 200:
+                    result = response.json()
+                    st.success("✅ AI Response:")
+                    st.write("**Transcription:**", result.get("transcription", "No transcription"))
+                    st.write("**Answer:**", result.get("response", "No response found."))
 
-                audio_response = result["audio"]
+                    # ✅ Fetch and play AI-generated audio response
+                    audio_response_url = result.get("audio")
+                    if audio_response_url:
+                        st.write(f"🔊 Fetching AI-generated voice from: {audio_response_url}")
+                        audio_response = requests.get(audio_response_url)
+                        if audio_response.status_code == 200:
+                            st.audio(audio_response.content, format="audio/wav")
+                        else:
+                            st.error(f"❌ Failed to load AI audio ({audio_response.status_code})")
+                    else:
+                        st.warning("⚠️ No audio response received from API.")
+                    
+                    # ✅ Clear session state for new recording
+                    st.session_state.frames = []
+                
+                else:
+                    st.error(f"❌ API Error: {response.status_code} - {response.text}")
 
-                # Fetch and play audio response
-                audio_content = requests.get(audio_response).content
-                st.audio(audio_content, format="audio/wav")
+            except requests.exceptions.RequestException as e:
+                st.error(f"❌ Failed to connect to API: {str(e)}")
 
-                # Clear session state for new recording
-                st.session_state.frames = []
-            else:
-                st.error(f"❌ API Error: {response.status_code}")
     else:
         st.error("⚠️ No audio captured. Please record first!")