Update app.py

app.py

@@ -3,21 +3,117 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+import re
+import wikipedia
+from transformers import pipeline
+from sympy import sympify
 
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
-# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------c
 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
+        print("Initializing production agent")
+
+        self.llm = pipeline(
+            "text2text-generation",
+            model="google/flan-t5-base",
+            max_new_tokens=200
+        )
+
+        print("Agent ready")
+
+    # TOOL 1 - Wikipedia Search
+    def search_wikipedia(self, query):
+        try:
+            summary = wikipedia.summary(
+                query,
+                sentences=2
+            )
+
+            return summary
+        except Exception:
+            return "No information found"
+
+    # TOOL 2 - Math Solver
+    def solve_math(self, expression):
+        try:
+            result = sympify(expression)
+            return str(result)
+        except Exception:
+            return None
+
+
+    # TOOL 3 - Detector
+    def detect_math(self, question):
+        math_pattern = r"[0-9\+\-\*\/\(\)\.]"
+        return bool(re.search(math_pattern, question))
+
+
+    # MAIN AGENT LOGIC
+    def __call__(self, question:str) -> str:
+        print(f"Question: {question}")
+
+        question_lower = question.lower()
+
+        try:
+            # Using math tool
+            if self.detect_math(question):
+                cleaned = re.sub(
+                    r"[^0-9\+\-\*\/\(\)\.]",
+                    "",
+                    question
+                )
+
+                result = self.solve_math(cleaned)
+                if result:
+                    print("Math tool used")
+                    return result
+
+                    
+            if any(
+                keyword in question_lower
+                for keyword in [
+                    "who",
+                    "what",
+                    "when",
+                    "where"
+                ]
+            ):
+                topic = question
+
+                info = self.search_wikipedia(topic)
+
+                if info != "No information found.":
+                    print("Wikipedia tool used")
+                    return info
+
+            prompt = f"""
+            Answer the question clearly and concisely
+
+            Question:
+            {question}
+
+            Answer:
+            """
+
+            response = self.llm(prompt)[0]["generated_text"]
+            answer = response.strip()
+            print("LLM used")
+            return answer
+
+        except Exception as e:
+            print("Agent error:", e)
+            return "Unable to answer the question."
+
+
+        
+
+        
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """