Update app.py

app.py

@@ -3,21 +3,76 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
-
+from smolagents.models import InferenceClientModel
+from smolagents import ToolCallingAgent
+from smolagents import DuckDuckGoSearchTool
+from smolagents import Tool
+import traceback
 # (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 ------
+print("Token loaded:", bool(os.getenv("zinebhftoken")))
+custom_prompt = """
+You are an intelligent AI agent participating in the GALA (Generative Agent Learning Assignment).
+Your goal is to answer each question accurately, concisely, and factually.
+
+Instructions:
+1. Analyze the user's question carefully.
+2. If you can answer it directly from your own knowledge, do so in one or two sentences.
+3. If the question requires recent, factual, or numeric data (e.g. "current CEO", "latest version", "in 2025", etc.), use the DuckDuckGoSearchTool to find the answer.
+4. When using a tool, be precise in your query and summarize the result clearly.
+5. Always provide clean, readable text without markdown or citations unless explicitly requested.
+6. If a question is ambiguous, briefly explain your assumption before answering.
+7. Never refuse to answer unless the question is unrelated to the task or violates safety rules.
+
+Format:
+- Respond directly with the final answer only.
+- Do not include reasoning steps or technical metadata.
+
+Example behaviors:
+User: Who is the CEO of OpenAI?
+→ Use search tool → "The CEO of OpenAI is Sam Altman."
+
+User: What is the capital of Japan?
+→ Direct answer → "The capital of Japan is Tokyo."
+
+Remember: you are being evaluated for correctness and clarity.
+"""
+
+@Tool
+def calculatorTool(query:str) -> str:
+    try:
+        result=eval(query)
+        return str(result)
+    except Exception as e:
+        return f"error while calculating {e}"        
+CalculatorTool=Tool(
+    name="calculator",
+    description="it calculates basic arithmetics",
+    func=calculatorTool
+)
 class BasicAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
+        api_key = os.getenv('zinebhftoken')
+        if not api_key:
+            raise ValueError("❌ Missing Hugging Face token. Add it in Settings → Secrets with the name 'chatbotagenthf'.")
+        model = InferenceClientModel(
+            model_id="mistralai/Mixtral-8x7B-Instruct-v0.1",
+            token=api_key     
+        )
+        self.agent=ToolCallingAgent(tools=[DuckDuckGoSearchTool()], model=model, 
+                api_key=api_key)
+    
     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
+        try:
+          print(f"Agent received question (first 50 chars): {question[:50]}...")
+          agent_answer=self.agent.run(question)
+          print(f"Agent returning answer: {agent_answer}")
+          return agent_answer
+        except Exception as e:
+            print(f"Agent encountered an error: {e}")
+            traceback.print_exc()
+            return 'Error generating answer'
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -191,6 +246,5 @@ if __name__ == "__main__":
         print("ℹ️  SPACE_ID environment variable not found (running locally?). Repo URL cannot be determined.")
 
     print("-"*(60 + len(" App Starting ")) + "\n")
-
     print("Launching Gradio Interface for Basic Agent Evaluation...")
     demo.launch(debug=True, share=False)