app.py

import os
import gradio as gr
import requests
import pandas as pd
from smolagents import ToolCallingAgent, tool
from duckduckgo_search import DDGS
import math

# --- Constants ---
DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"

# --- Tools ---
@tool
def duck_search(query: str) -> str:
    """
    Searches the web using DuckDuckGo and returns a short summary.

    Args:
        query: The search query string.

    Returns:
        A string summarizing the top search results.
    """
    try:
        results = ddg(query, max_results=3)
        if results:
            return "\n\n".join([f"{r['title']}: {r['body']}" for r in results])
        else:
            return "No results found."
    except Exception as e:
        return f"Search error: {e}"

@tool
def calculator(expression: str) -> str:
    """
    Safely evaluates math expressions using Python's math module.

    Args:
        expression: A valid math expression as a string (e.g., 'sqrt(16) + 10').

    Returns:
        The result of the evaluated expression or an error message.
    """
    try:
        result = eval(expression, {"__builtins__": {}}, math.__dict__)
        return str(result)
    except Exception as e:
        return f"Calculation error: {e}"

# --- Agent Wrapper ---
class WebSearchAgent:
    def __init__(self):
        self.agent = ToolCallingAgent(
            name="GAIAWebToolAgent",
            description="Agent that answers questions using web search and calculator tools.",
            tools=[duck_search, calculator],
            step_limit=5,
            system_prompt=(
                "You're a helpful reasoning agent. Use available tools like web search "
                "and calculator to answer the user's question accurately and concisely."
            ),
        )
        print("✅ Agent initialized.")

    def __call__(self, question: str) -> str:
        print(f"🔍 Question: {question}")
        try:
            return self.agent.run(question)
        except Exception as e:
            print(f"❌ Agent error: {e}")
            return f"Error: {e}"

# --- Evaluation and Submission ---
def run_and_submit_all(profile: gr.OAuthProfile | None):
    space_id = os.getenv("SPACE_ID")
    if profile:
        username = profile.username
        print(f"👤 User: {username}")
    else:
        return "Please login to Hugging Face.", None

    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
    questions_url = f"{DEFAULT_API_URL}/questions"
    submit_url = f"{DEFAULT_API_URL}/submit"

    try:
        agent = WebSearchAgent()
    except Exception as e:
        return f"Agent initialization error: {e}", None

    try:
        print("📥 Fetching questions...")
        response = requests.get(questions_url, timeout=15)
        response.raise_for_status()
        questions = response.json()
        if not questions:
            return "No questions received.", None
        print(f"✅ Retrieved {len(questions)} questions.")
    except Exception as e:
        return f"Failed to fetch questions: {e}", None

    results_log = []
    answers_payload = []

    for item in questions:
        task_id = item.get("task_id")
        question = item.get("question")
        if not task_id or not question:
            continue
        try:
            answer = agent(question)
            results_log.append({
                "Task ID": task_id,
                "Question": question,
                "Submitted Answer": answer
            })
            answers_payload.append({
                "task_id": task_id,
                "submitted_answer": answer
            })
        except Exception as e:
            error_msg = f"Agent error: {e}"
            results_log.append({
                "Task ID": task_id,
                "Question": question,
                "Submitted Answer": error_msg
            })

    if not answers_payload:
        return "No answers were generated.", pd.DataFrame(results_log)

    print("📤 Submitting answers...")
    try:
        response = requests.post(submit_url, json={
            "username": username.strip(),
            "agent_code": agent_code,
            "answers": answers_payload
        }, timeout=60)
        response.raise_for_status()
        result = response.json()
        status = (
            f"✅ Submission Successful!\n"
            f"User: {result.get('username')}\n"
            f"Score: {result.get('score', 'N/A')}% "
            f"({result.get('correct_count', '?')}/{result.get('total_attempted', '?')} correct)\n"
            f"Message: {result.get('message', 'No message')}"
        )
        return status, pd.DataFrame(results_log)
    except Exception as e:
        return f"❌ Submission failed: {e}", pd.DataFrame(results_log)

# --- Gradio UI ---
with gr.Blocks() as demo:
    gr.Markdown("# 🤖 GAIA Agent with Web Search & Calculator Tools")
    gr.Markdown("""
    - ✅ Log in to your Hugging Face account
    - 🚀 Click the button to run and submit your agent
    - 🧠 Agent uses DuckDuckGo search + calculator
    """)
    gr.LoginButton()
    run_btn = gr.Button("Run Evaluation & Submit All Answers")
    status_box = gr.Textbox(label="Status", lines=5)
    result_table = gr.DataFrame(label="Agent Answers")

    run_btn.click(fn=run_and_submit_all, outputs=[status_box, result_table])

if __name__ == "__main__":
    print("🚀 Starting Gradio App...")
    demo.launch(debug=True, share=False)