Update app.py

app.py

@@ -53,13 +53,15 @@ model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may
 custom_role_conversions=None,
 )
 
+#Tools
 final_answer = FinalAnswerTool()
+duckDuckGoSearch = DuckDuckGoSearchTool()
 
 #Agent
 agent_codeagent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
-    max_steps=6,
+    tools=[final_answer, duckDuckGoSearch] ## add your tools here (don't remove final answer)
+    max_steps=5,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
@@ -69,49 +71,6 @@ agent_codeagent = CodeAgent(
 )
 
 
-# #def run_and_submit_one():
-#     # 1. Instantiate Agent ( modify this part to create your agent)
-#     try:
-#         #agent = BasicAgent()
-#         agent = agent_codeagent
-        
-#     except Exception as e:
-#         print(f"Error instantiating agent: {e}")
-#         return f"Error initializing agent: {e}", None
-    
-#    # 2. Fetch Questions by loading from local json
-#     status_message, questions_data = load_questions_from_file()
-
-#     if questions_data is not None and len(questions_data) > 0:
-#         first_question = questions_data[0]
-#         print("First question object:", first_question)
-
-#         #To test
-#         question_text = first_question.get("question")
-#         task_id = first_question.get("task_id")
-#         print(f"\nTask ID: {task_id}")
-#         print(f"Question: {question_text}")
-#     else:
-#         print("No data found.")
-
-#     # 3. Run your Agent
-#     results_log = []
-#     answers_payload = []
-
-#     try:
-#         submitted_answer = agent(question_text)
-#         answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
-#         results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
-#     except Exception as e:
-#         print(f"Error running agent on task {task_id}: {e}")
-#         results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
-
-#     if not answers_payload:
-#         print("Agent did not produce any answers to submit.")
-#         return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
-
-#run_and_submit_one()       
-
 # Gradio handler that runs the agent
 def run_once(state):
     if state is not None: