Update app.py

app.py

@@ -22,13 +22,11 @@ client = OpenAI(api_key=OPENAI_API_KEY)
 
 # ------------------ Chat Logic ------------------
 session_threads = {}
-session_messages = {}
 
 def reset_session():
     session_id = str(uuid.uuid4())
     thread = client.beta.threads.create()
     session_threads[session_id] = thread.id
-    session_messages[session_id] = []
     return session_id
 
 def process_chat(message, history, session_id):
@@ -65,13 +63,7 @@ def process_chat(message, history, session_id):
     else:
         assistant_response = "⚠️ Assistant did not respond."
 
-    # Optional: detect GitHub image URL
-    image_url = None
-    match = re.search(r'https://raw\.githubusercontent\.com/AndrewLORTech/surgical-pathology-manual/main/[\w\-/]*\.png', assistant_response)
-    if match:
-        image_url = match.group(0)
-
-    return assistant_response, image_url
+    return assistant_response  # ✅ only returning text now
 
 # ------------------ Transcription Logic ------------------
 def create_websocket_client():
@@ -102,10 +94,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
     # ---------- Section 1: Chat Interface ----------
     with gr.Row():
         chatbot = gr.ChatInterface(
-            fn=lambda message, history, session_id: (
-                process_chat(message, history, session_id)[0],
-                process_chat(message, history, session_id)[1],
-            ),
+            fn=lambda message, history, session_id: process_chat(message, history, session_id),
             additional_inputs=[session_id],
             examples=[
                 ["What does clause 3.2 mean?"],
@@ -121,7 +110,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
         transcript_box = gr.Textbox(label="Live Transcript", lines=7, interactive=False, autoscroll=True)
     
     with gr.Row():
-        mic_input = gr.Audio(streaming=True)  # ✅ FIXED: removed unsupported source="microphone"
+        mic_input = gr.Audio(streaming=True)  # ✅ fixed for Hugging Face compatibility
         clear_button = gr.Button("Clear Transcript")
 
     mic_input.stream(fn=send_audio_chunk, inputs=[mic_input, client_id], outputs=transcript_box)