Update app.py

app.py

@@ -33,39 +33,37 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
-
-        # Initialize the Agent
+        openaikey =  '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'
+        # self.system_message = (
+        #     "You are a question answering agent for scientific and encyclopedic questions. "
+        #     "Your goal is to provide concise, factually correct answers using only verified sources. "
+        #     "Always return a direct answer, no extra text or explanation. "
+        #     "If a question asks for a count, return only the number."
+        # )
+        
         model = InferenceClientModel(
-            model_id="HuggingFaceH4/zephyr-7b-beta",
-            token=os.getenv("HUGGINGFACEHUB_API_TOKEN"),
-            provider="hf-inference"
+            model_id="gpt-4o",
+            token=openaikey,
+            provider="openai"#,
+            # temperature=0.0 # 0.7 by default (not sure)
         )
 
+
         self.agent = ToolCallingAgent(
             tools=[DuckDuckGoSearchTool()],
             model=model
         )
 
     def __call__(self, question: str) -> str:
-        print(f"Agent received question (first 50 chars): {question[:50]}...") 
-        # #print("Your token:", repr(os.getenv("HUGGINGFACEHUB_API_TOKEN"))) ##########
-        # try:
-        #     # Example: replace this with your actual inference call
-        #     response = self.agent.run(question)  
-        #     print("Agent response:", response)
-        
-        # except Exception as e:
-        #     import traceback
-        #     print("====== Exception occurred during inference ======")
-        #     traceback.print_exc()  # This prints the full stack trace to your console/log
-        #     print("Exception message:", str(e))
-
-        # Run the agent to get the answer
+        print(f"Agent received question (first 50 chars): {question[:50]}...")
+        # Inject system prompt + question
+        # question_with_prompt = f"{self.system_message}\n\n{question.strip()}"
+        # answer = self.agent.run(question_with_prompt)
         answer = self.agent.run(question)
         print(f"Agent returning answer: {answer.strip()}")
-        # Return the answer stripped (no extra spaces/newlines)
         return answer.strip()
 
+
 # Put it all together
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """