Update app.py

app.py

@@ -3,6 +3,8 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from crewai import Crew, Agent, Task
+from langchain_openai import ChatOpenAI
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -10,14 +12,39 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+
+
 class BasicAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
+        print("CrewAI Agent initializing...")
+
+        self.llm = ChatOpenAI(model="gpt-4", temperature=0.3)
+
+        # Define a single agent
+        self.agent = Agent(
+            role="QA Specialist",
+            goal="Answer general knowledge and reasoning-based questions accurately.",
+            backstory="You are an expert agent trained in logical reasoning, trivia, and general facts. Your job is to produce accurate answers to benchmark questions.",
+            allow_delegation=False,
+            verbose=True,
+            llm=self.llm,
+            
+        )
     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
+        print(f"Agent received question: {question[:50]}...")
+        task = Task(
+            description=f"Answer the following question clearly and concisely:\n\n{question}",
+            expected_output="A single sentence or paragraph with the correct answer.",
+            agent=self.agent
+        )
+        crew = Crew(
+            agents=[self.agent],
+            tasks=[task],
+            verbose=False,
+        )
+        result = crew.kickoff()
+        print(f"Agent result: {result}")
+        return result
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """