Update app.py

app.py

@@ -2,8 +2,9 @@ import os
 import gradio as gr
 import requests
 import inspect
+from langchain_core.messages import HumanMessage
 import pandas as pd
-import openai
+from agent import build_graph
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -12,31 +13,19 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
+    """A langgraph agent."""
     def __init__(self):
-        openai.api_key = "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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'."
-        )
+        print("BasicAgent initialized.")
+        self.graph = build_graph()
 
     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"
+        print(f"Agent received question (first 50 chars): {question[:50]}...")
+        # Wrap the question in a HumanMessage from langchain_core
+        messages = [HumanMessage(content=question)]
+        result = self.graph.invoke({"messages": messages})
+        answer = result['messages'][-1].content
+        return answer[14:]
+
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
     Fetches all questions, runs the BasicAgent on them, submits all answers,