Update app.py

app.py

@@ -3,6 +3,7 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+import transfomers
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -10,14 +11,39 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
-class BasicAgent:
+class GeneralAgent:
     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
+        print("Initializing BERT-based QA agent...")
+        # Cargar el modelo BERT preentrenado en SQuAD para tareas de Pregunta y Respuesta
+        self.qa_pipeline = pipeline("question-answering", model="bert-large-uncased-whole-word-masking-finetuned-squad")
+    
+    def __call__(self, question: str, context: str = None) -> str:
+        """
+        Procesa la pregunta y devuelve una respuesta basada en el contexto proporcionado.
+        Si no se proporciona contexto, devuelve un mensaje de error.
+        """
+        if context is None:
+            return "FINAL ANSWER: No context provided."
+        
+        # Crear un prompt dentro del contexto que estructure la tarea más explícitamente
+        prompt = f"""
+You are a general AI assistant. I will ask you a question based on the provided context. 
+Please provide the answer in a clear and concise manner.
+Question: {question}
+Context: {context}
+Answer:
+"""
+        
+        try:
+            # Usar el pipeline para obtener la respuesta de la pregunta con el contexto
+            result = self.qa_pipeline(question=question, context=prompt)
+            answer = result["answer"]
+        except Exception as e:
+            print(f"Error durante QA: {e}")
+            answer = "Error processing question."
+        
+        # Devuelve la respuesta final con el formato requerido
+        return f"FINAL ANSWER: {answer}"
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """