Update app.py

app.py

@@ -3,6 +3,9 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from transformers import pipeline
+import re
+import math
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -10,14 +13,81 @@ 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.")
+        print("Loading stronger instruction model...")
+        self.generator = pipeline(
+            "text-generation",
+            model="mistralai/Mistral-7B-Instruct-v0.2",
+            max_new_tokens=256,
+            do_sample=False,
+        )
+        print("Model loaded.")
+
+    # ---- Simple math tool ----
+    def try_math(self, question: str):
+        try:
+            # Detect simple arithmetic expressions
+            expression = re.findall(r"[\d\.\+\-\*\/\(\) ]+", question)
+            if expression:
+                candidate = expression[0]
+                result = eval(candidate)
+                return str(result)
+        except:
+            pass
+        return None
+
+    # ---- Clean output for EXACT MATCH ----
+    def clean_answer(self, text: str) -> str:
+        text = text.strip()
+
+        if "Answer:" in text:
+            text = text.split("Answer:")[-1]
+
+        text = text.split("\n")[0]
+        text = text.strip()
+
+        # Remove trailing punctuation
+        text = re.sub(r"[\.]$", "", text)
+
+        return text.strip()
+
+    def ask_model(self, question: str):
+        prompt = f"""
+You are solving a benchmark evaluation problem.
+
+Think step by step internally.
+But output ONLY the final answer.
+Do NOT explain.
+Do NOT add extra words.
+
+Question:
+{question}
+
+Final Answer:
+"""
+        output = self.generator(prompt)[0]["generated_text"]
+        answer = output.replace(prompt, "")
+        return self.clean_answer(answer)
+
     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[:60]}...")
+
+        math_result = self.try_math(question)
+        if math_result:
+            print("Used math tool.")
+            return math_result
+            
+        answer = self.ask_model(question)
+
+        if len(answer.split()) > 6:
+            print("Retrying due to long answer...")
+            answer = self.ask_model(question)
+
+        print(f"Final Answer: {answer}")
+        return answer
+
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """