Update app.py

app.py

@@ -178,32 +178,49 @@ When you've found the answer, stop reasoning and return ONLY the answer.
         my_agent = Agent(
             name="Expert Question Answering Agent",
             instructions=instructions,
-            tools = [
+            tools=[
                 tavily_search,
                 visit_website
             ],
             model="gpt-4o-mini"
-#            model=LitellmModel(
-#                model="gemini/gemini-2.5-flash",
-#                api_key=os.getenv("GEMINI_API_KEY")
-#            )
-
+            # OR for Gemini:
+            # model=LitellmModel(
+            #     model="gemini/gemini-2.5-flash",
+            #     api_key=os.getenv("GEMINI_API_KEY")
+            # )
         )
-
-        result = Runner.run_sync(
-                my_agent,
-                input=question,
-                max_turns=25
-            )
+        
         print("\n--- Intermediate Reasoning ---")
-        for step in result.steps:
-            print("🧠 Thought:", step.thought)
-            print("⚙️ Action:", step.tool_call)
-            print("🔍 Observation:", step.observation)
-            print("-" * 50)
-
-        print(f"Agent returning fixed answer(first 50 chars): {result.final_output[:50]}...")
-        return result.final_output
+        final_answer = None
+        stream = Runner.run_streamed(my_agent, input=question, max_turns=25)
+
+        for event in stream:
+            if event.thought:
+                print("🧠 Thought:", event.thought)
+            if event.tool_call:
+                print("⚙️ Action:", event.tool_call)
+            if event.observation:
+                print("🔍 Observation:", event.observation)
+            if event.final_output:
+                print(f"✅ Final Answer: {event.final_output}")
+                final_answer = event.final_output
+
+        return final_answer
+
+#        result = Runner.run_sync(
+#                my_agent,
+#                input=question,
+#               max_turns=25
+#           )
+#        print("\n--- Intermediate Reasoning ---")
+#        for step in result.steps:
+#            print("🧠 Thought:", step.thought)
+#           print("⚙️ Action:", step.tool_call)
+#            print("🔍 Observation:", step.observation)
+#           print("-" * 50)
+
+#        print(f"Agent returning fixed answer(first 50 chars): {result.final_output[:50]}...")
+#       return result.final_output
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """