Update app.py

app.py

@@ -3,25 +3,49 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from transformers import pipeline  # Added import [[1]]
 
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
-# --- Basic Agent Definition ---
+# --- Enhanced Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
-class BasicAgent:
+class EnhancedAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
+        print("EnhancedAgent initialized with QA pipeline")
+        self.qa_pipeline = pipeline(
+            "question-answering",
+            model="deepset/roberta-base-squad2",  # Improved QA model [[1]]
+            tokenizer="deepset/roberta-base-squad2"
+        )
+    
     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"Processing question: {question[:50]}...")
+        try:
+            # Handle yes/no questions explicitly
+            if "yes or no" in question.lower():
+                result = self.qa_pipeline(question)
+                answer = result[0]['answer'] if result else "No answer"
+                return "Yes" if "yes" in answer.lower() else "No"
+            
+            # General QA processing
+            result = self.qa_pipeline(question)
+            answer = result[0]['answer'] if result else "No answer found"
+            
+            # Post-processing for common GAIA patterns
+            if answer.startswith("The answer is"):
+                return answer.split("The answer is")[-1].strip()
+            
+            return answer[:500]  # Limit length to avoid overflow
+            
+        except Exception as e:
+            print(f"Error processing question: {e}")
+            return f"Error: {str(e)}"
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
-    Fetches all questions, runs the BasicAgent on them, submits all answers,
+    Fetches all questions, runs the EnhancedAgent on them, submits all answers,
     and displays the results.
     """
     # --- Determine HF Space Runtime URL and Repo URL ---
@@ -40,7 +64,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
     # 1. Instantiate Agent ( modify this part to create your agent)
     try:
-        agent = BasicAgent()
+        agent = EnhancedAgent()  # Changed to new agent class
     except Exception as e:
         print(f"Error instantiating agent: {e}")
         return f"Error initializing agent: {e}", None
@@ -142,7 +166,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
 # --- Build Gradio Interface using Blocks ---
 with gr.Blocks() as demo:
-    gr.Markdown("# Basic Agent Evaluation Runner")
+    gr.Markdown("# Enhanced GAIA Agent Evaluation Runner")
     gr.Markdown(
         """
         **Instructions:**
@@ -190,5 +214,5 @@ if __name__ == "__main__":
 
     print("-"*(60 + len(" App Starting ")) + "\n")
 
-    print("Launching Gradio Interface for Basic Agent Evaluation...")
+    print("Launching Gradio Interface for Enhanced GAIA Agent Evaluation...")
     demo.launch(debug=True, share=False)