app.py

import os
import gradio as gr
import requests
import pandas as pd
from smolagents import ToolCallingAgent, tool
import duckduckgo_search
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."""
    try:
        results = duckduckgo_search.ddg(query, max_results=3)
        if results:
            return "\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 basic math expressions."""
    try:
        result = eval(expression, {"__builtins__": {}}, math.__dict__)
        return str(result)
    except Exception as e:
        return f"Calculation error: {e}"

# --- Agent Definition ---
class WebSearchAgent:
    def __init__(self):
        self.agent = ToolCallingAgent(
            name="GAIAWebToolAgent",
            description="An agent that answers questions using reasoning and tools like web search and calculator.",
            tools=[duck_search, calculator],
            step_limit=5,
            system_prompt="You're a helpful agent tasked with answering general questions using reasoning and external tools if needed. Prioritize factual accuracy, logic, and concise answers."
        )
        print("✅ WebSearchAgent initialized.")

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

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

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

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

    try:
        print("📥 Fetching questions...")
        response = requests.get(questions_url, timeout=15)
        response.raise_for_status()
        questions_data = response.json()
        if not questions_data:
            return "Fetched questions list is empty or invalid format.", None
        print(f"✅ Fetched {len(questions_data)} questions.")
    except Exception as e:
        return f"Error fetching questions: {e}", None

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

    if not answers_payload:
        return "No answers to submit.", pd.DataFrame(results_log)

    print("📤 Submitting answers...")
    submission_data = {
        "username": username.strip(),
        "agent_code": agent_code,
        "answers": answers_payload
    }

    try:
        response = requests.post(submit_url, json=submission_data, timeout=60)
        response.raise_for_status()
        result = response.json()
        final_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 final_status, pd.DataFrame(results_log)
    except Exception as e:
        return f"Submission error: {e}", pd.DataFrame(results_log)

# --- Gradio UI ---
with gr.Blocks() as demo:
    gr.Markdown("# 🧠 GAIA Agent with Web Search & Calculator")
    gr.Markdown("""
    1. Log in to Hugging Face.
    2. Click **Run Evaluation** to fetch, run, and submit.
    3. Your agent uses web search (DuckDuckGo) and math tools.
    """)
    gr.LoginButton()
    run_button = gr.Button("🚀 Run Evaluation & Submit All Answers")
    status_output = gr.Textbox(label="Status", lines=5)
    results_table = gr.DataFrame(label="Answer Log")

    run_button.click(fn=run_and_submit_all, outputs=[status_output, results_table])

if __name__ == "__main__":
    print("🌍 Launching App...")
    demo.launch(debug=True, share=False)