Update app.py

app.py

@@ -3,6 +3,7 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from transformers import pipeline
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -10,14 +11,24 @@ 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.")
+    #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
+        
 class BasicAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
+        self.qa_pipeline = pipeline("question-answering", model="distilbert-base-uncased-distilled-squad")
+    
     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
+        # Provide dummy context if you don’t have one (not ideal but may work for basic testing)
+        context = "Your context goes here. You might pull this from files or a knowledge base."
+        result = self.qa_pipeline(question=question, context=context)
+        return result["answer"]
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """