Update app.py

app.py

@@ -5,7 +5,7 @@ import re
 import requests
 import tempfile
 from openai import OpenAI
-from streamlit_webrtc import webrtc_streamer, WebRtcMode, ClientSettings
+from streamlit_webrtc import webrtc_streamer, WebRtcMode
 import av
 import numpy as np
 import wave
@@ -81,7 +81,6 @@ with col1:
 
 # ------------------ Chat & Voice Panel ------------------
 with col2:
-    # Display previous messages
     for message in st.session_state.messages:
         st.chat_message(message["role"]).write(message["content"])
 
@@ -91,11 +90,7 @@ with col2:
         key="speech",
         mode=WebRtcMode.SENDONLY,
         in_audio_enabled=True,
-        audio_receiver_size=256,
-        client_settings=ClientSettings(
-            media_stream_constraints={"audio": True, "video": False},
-            rtc_configuration={"iceServers": [{"urls": ["stun:stun.l.google.com:19302"]}]},
-        ),
+        audio_receiver_size=256
     )
 
     if audio_ctx.audio_receiver:
@@ -104,8 +99,8 @@ with col2:
         audio_data = result.to_ndarray()
         st.session_state.audio_buffer.append(audio_data)
 
-        # ⏱️ Auto stop after short time
-        if len(st.session_state.audio_buffer) > 30:  # about 3s
+        # ⏱️ Auto stop after ~3 seconds
+        if len(st.session_state.audio_buffer) > 30:
             tmp_path = tempfile.NamedTemporaryFile(delete=False, suffix=".wav").name
             save_wav(st.session_state.audio_buffer, tmp_path)
             st.session_state.audio_buffer = []
@@ -119,7 +114,6 @@ with col2:
                 st.chat_message("user").write(transcript)
                 prompt = transcript
 
-                # ---- Assistant interaction ----
                 try:
                     if st.session_state.thread_id is None:
                         thread = client.beta.threads.create()
@@ -158,7 +152,6 @@ with col2:
                     st.chat_message("assistant").write(assistant_message)
                     st.session_state.messages.append({"role": "assistant", "content": assistant_message})
 
-                    # Image link extract
                     image_match = re.search(
                         r'https://raw\.githubusercontent\.com/AndrewLORTech/surgical-pathology-manual/main/[\w\-/]*\.png',
                         assistant_message
@@ -173,4 +166,4 @@ with col2:
     if prompt := st.chat_input("💬 Or type your question..."):
         st.session_state.messages.append({"role": "user", "content": prompt})
         st.chat_message("user").write(prompt)
-        # Send prompt to assistant logic follows same flow above (you can wrap in a function)
+        # You can add assistant logic here if you want it to run immediately