test code changes (#2)

- test code changes (bb33938925eddfa781bdd22a88f54c39523444a1)

app.py

@@ -3,7 +3,7 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
-
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
@@ -12,12 +12,20 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
+        # Initialize the tokenizer and model for CodeT5
+        print("Loading CodeT5+ model...")
+        self.tokenizer = AutoTokenizer.from_pretrained("Salesforce/codet5p-770m")
+        self.model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5p-770m")
+        print("BasicAgent initialized with CodeT5+ model.")
+    
     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
+        # Process the question and generate an answer using CodeT5
+        print(f"Agent received question: {question[:50]}...")
+        inputs = self.tokenizer(question, return_tensors="pt", truncation=True, padding=True)
+        outputs = self.model.generate(**inputs, max_new_tokens=128)
+        answer = self.tokenizer.decode(outputs[0], skip_special_tokens=True)
+        print(f"Agent returning answer: {answer[:50]}...")
+        return answer
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """