the api has changed in recent version of gradio

src/app.py

@@ -26,21 +26,22 @@ def process_speech(new_transcript, history):
         
         # Format response as structured JSON
         formatted_response = {
-            "diagnoses": [str(response).split(":")[0]],  # Extract ICD code
-            "confidences": [0.8],  # Add confidence scoring
-            "follow_up": "Is the cough productive or dry?"  # Add interactive questioning
+            "diagnoses": [str(response).split(":")[0]],
+            "confidences": [0.8],
+            "follow_up": "Is the cough productive or dry?"
         }
         
         # Append exchange to history
-        history.append((new_transcript, json.dumps(formatted_response, indent=2)))
+        history.append({"role": "user", "content": new_transcript})
+        history.append({"role": "assistant", "content": json.dumps(formatted_response, indent=2)})
         
     except Exception as e:
-        # Handle errors gracefully for MCP clients
         error_response = {
             "error": str(e),
             "status": "error"
         }
-        history.append((new_transcript, json.dumps(error_response, indent=2)))
+        history.append({"role": "user", "content": new_transcript})
+        history.append({"role": "assistant", "content": json.dumps(error_response, indent=2)})
     
     return history
 
@@ -48,8 +49,17 @@ def process_speech(new_transcript, history):
 demo = gr.Blocks()
 with demo:
     gr.Markdown("# Symptom to ICD-10 Code Lookup (Audio Input)")
-    chatbot = gr.Chatbot(label="Conversation")
-    audio = gr.Audio(source="microphone", type="text", streaming=True)
+    chatbot = gr.Chatbot(
+        label="Conversation",
+        type="messages"  # Use the new message format
+    )
+    
+    # Updated Audio component configuration
+    audio = gr.Audio(
+        type="text",
+        sources=["microphone"],  # Changed from source to sources
+        streaming=True
+    )
     
     # Add MCP-specific metadata
     demo.config = {
@@ -75,6 +85,5 @@ if __name__ == "__main__":
     demo.launch(
         server_name="0.0.0.0", 
         server_port=7860, 
-        mcp_server=True,
-        mcp_polling_interval=1000  # 1 second polling interval
+        mcp_server=True
     )