Update app.py

app.py

@@ -3,6 +3,7 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+import openai
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -12,13 +13,30 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
-    def __call__(self, question: str) -> str:
-        print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        openai.api_key = os.getenv("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")  # or hardcode if local test
+        self.system_prompt = (
+            "You are a helpful research assistant. "
+            "Only answer with the exact factual answer without explanation. "
+            "If you cannot answer exactly from the information, say 'Unknown'."
+        )
 
+    def __call__(self, question: str) -> str:
+        try:
+            print(f"Agent received question: {question[:60]}...")
+            response = openai.ChatCompletion.create(
+                model="gpt-4",
+                messages=[
+                    {"role": "system", "content": self.system_prompt},
+                    {"role": "user", "content": question},
+                ],
+                temperature=0
+            )
+            answer = response["choices"][0]["message"]["content"].strip()
+            print(f"Agent answer: {answer}")
+            return answer
+        except Exception as e:
+            print(f"OpenAI API error: {e}")
+            return "ERROR"
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
     Fetches all questions, runs the BasicAgent on them, submits all answers,