Update app.py

app.py

@@ -179,44 +179,18 @@ When you've found the answer, stop reasoning and return ONLY the answer.
         my_agent = Agent(
             name="Expert Question Answering Agent",
             instructions=instructions,
-            tools=[
-                tavily_search,
+            tools = [
+                web_search,
                 visit_website
             ],
             model="gpt-4o-mini"
-            # OR for Gemini:
-            # model=LitellmModel(
-            #     model="gemini/gemini-2.5-flash",
-            #     api_key=os.getenv("GEMINI_API_KEY")
-            # )
         )
-        
-        print("\n--- Intermediate Reasoning ---")
-
-        result = Runner.run_streamed(my_agent, input=question, max_turns=25)
-
-        print("=== Run starting ===")
-    
-        async for event in result.stream_events():
-            # We'll ignore the raw responses event deltas
-            if event.type == "raw_response_event":
-                continue
-            # When the agent updates, print that
-            elif event.type == "agent_updated_stream_event":
-                print(f"Agent updated: {event.new_agent.name}")
-                continue
-            # When items are generated, print them
-            elif event.type == "run_item_stream_event":
-                if event.item.type == "tool_call_item":
-                    print("-- Tool was called")
-                elif event.item.type == "tool_call_output_item":
-                    print(f"-- Tool output: {event.item.output}")
-                elif event.item.type == "message_output_item":
-                    print(f"-- Message output:\n {ItemHelpers.text_message_output(event.item)}")
-                else:
-                    pass  # Ignore other event types
-
 
+        result = Runner.run_sync(
+            my_agent,
+            input=question,
+            max_turns=25
+        )
 
         print(f"Agent gave answer (first 50 chars): {result.final_output[:50]}...")
         return result.final_output