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 ---
@@ -11,13 +12,38 @@ 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
+     def __init__(self):
+        print("Let me get ready ...")
+        self.pipeline = pipeline(
+            "text2text-generation",
+            model="google/flan-t5-base",
+            tokenizer="google/flan-t5-base",
+            max_length=256,
+            do_sample=False
+        )
+
+         self.system_prompt = (
+            "You are a general AI assistant. I will ask you a question. "
+            "Report your thoughts, and finish your answer with the following template: "
+            "FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible "
+            "OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma "
+            "to write your number neither use units such as $ or percent sign unless specified otherwise. If you are "
+            "asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in "
+            "plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules "
+            "depending of whether the element to be put in the list is a number or a string."
+        )
+   def __call__(self, question: str) -> str:
+        prompt = f"{self.system_prompt}\n\nQuestion: {question}"
+        print(f"Prompt:\n{prompt[:300]}...")  # Trimmed for logging
+
+        try:
+            result = self.pipeline(prompt)
+            answer = result[0]["generated_text"].strip()
+            print(f"Answer: {answer}")
+            return answer
+        except Exception as e:
+            print(f"Pipeline error: {e}")
+            return "FINAL ANSWER: ERROR"
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """