problems resolved

src/app.py

@@ -13,77 +13,65 @@ or, if you have enough info, output a final JSON with fields:
 """
 
 def process_speech(new_transcript, history):
-    # Skip if no new transcript
     if not new_transcript:
         return history
     
     try:
-        # Build conversation context
-        context = "\n".join([f"{role}: {msg}" for role, msg in history])
-        
-        # Query symptom index for relevant codes
         response = symptom_index.as_query_engine().query(new_transcript)
         
-        # Format response as structured JSON
         formatted_response = {
             "diagnoses": [str(response).split(":")[0]],
             "confidences": [0.8],
             "follow_up": "Is the cough productive or dry?"
         }
         
-        # Append exchange to history
         history.append({"role": "user", "content": new_transcript})
         history.append({"role": "assistant", "content": json.dumps(formatted_response, indent=2)})
         
     except Exception as e:
-        error_response = {
-            "error": str(e),
-            "status": "error"
-        }
+        error_response = {"error": str(e), "status": "error"}
         history.append({"role": "user", "content": new_transcript})
         history.append({"role": "assistant", "content": json.dumps(error_response, indent=2)})
     
     return history
 
 # Build Gradio interface
-demo = gr.Blocks()
-with demo:
-    gr.Markdown("# Symptom to ICD-10 Code Lookup (Audio Input)")
+with gr.Blocks() as demo:
+    gr.Markdown("# Symptom to ICD-10 Code Lookup")
+    
     chatbot = gr.Chatbot(
         label="Conversation",
-        type="messages"  # Use the new message format
+        type="messages",
+        height=400
     )
     
-    # Updated Audio component configuration
-    audio = gr.Audio(
-        type="text",
-        sources=["microphone"],  # Changed from source to sources
-        streaming=True
+    microphone = gr.Microphone(
+        streaming=True,
+        type="filepath"  # Return transcriptions as strings
     )
     
-    # Add MCP-specific metadata
-    demo.config = {
-        "mcp": {
-            "title": "Medical Symptom to ICD-10 Code Assistant",
-            "description": "Convert spoken medical symptoms to ICD-10 codes",
-            "version": "1.0.0",
-            "capabilities": {
-                "speech_input": True,
-                "streaming": True
-            }
+    # MCP metadata (store in a separate variable, not as an attribute of demo)
+    mcp_metadata = {
+        "title": "Medical Symptom to ICD-10 Code Assistant",
+        "description": "Convert spoken symptoms to ICD-10 codes",
+        "version": "1.0.0",
+        "capabilities": {
+            "speech_input": True,
+            "streaming": True
         }
     }
     
-    audio.stream(
-        process_speech,
-        inputs=[audio, chatbot], 
+    # Connect the streaming microphone to the chat
+    microphone.stream(
+        fn=process_speech,
+        inputs=[microphone, chatbot],
         outputs=chatbot,
         show_progress="hidden"
     )
 
 if __name__ == "__main__":
     demo.launch(
-        server_name="0.0.0.0", 
-        server_port=7860, 
+        server_name="0.0.0.0",
+        server_port=7860,
         mcp_server=True
     )