app.py

import os
import gradio as gr
import requests
import pandas as pd
from smolagents import ToolCallingAgent, tool
from duckduckgo_search import DDGS
from smolagents.schema import Tool


# Define a DuckDuckGo tool
@Tool
def duck_search(query: str) -> str:
    """Searches the web using DuckDuckGo for the given query and returns the top results."""
    with DDGS() as ddgs:
        results = ddgs.text(query, max_results=3)
        return "\n".join([r["body"] for r in results])


# Custom Agent class
class GAIAAgent:
    def __init__(self):
        self.agent = ToolCallingAgent(
            name="GAIAWebToolAgent",
            description="An agent using DuckDuckGo and calculator tools.",
            tools=[duck_search, calculator],
            model="gpt-3.5-turbo"
        )

    def __call__(self, question: str) -> str:
        print(f"🔍 Question: {question}")
        try:
            return self.agent.run(
                question,
                step_limit=5,
                system_prompt=(
                    "You are a helpful reasoning agent. You can answer questions using search and calculation tools. "
                    "Be concise and accurate. Think step by step when needed. Use DuckDuckGo for recent or factual queries."
                )
            )
        except Exception as e:
            print(f"❌ Agent error: {e}")
            return f"Error: {e}"


# Evaluation and submission code (Hugging Face GAIA integration)
DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"

def run_and_submit_all(profile: gr.OAuthProfile | None):
    space_id = os.getenv("SPACE_ID")
    api_url = DEFAULT_API_URL
    questions_url = f"{api_url}/questions"
    submit_url = f"{api_url}/submit"

    if profile:
        username = profile.username
        print(f"User: {username}")
    else:
        return "Please login to Hugging Face.", None

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

    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"

    try:
        response = requests.get(questions_url, timeout=15)
        response.raise_for_status()
        questions_data = response.json()
    except Exception as e:
        return f"Error fetching questions: {e}", None

    answers_payload = []
    results_log = []

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

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

    submission_data = {
        "username": username,
        "agent_code": agent_code,
        "answers": answers_payload
    }

    try:
        response = requests.post(submit_url, json=submission_data, timeout=60)
        response.raise_for_status()
        result_data = response.json()
        final_status = (
            f"✅ Submission Successful!\n"
            f"User: {result_data.get('username')}\n"
            f"Score: {result_data.get('score')}% "
            f"({result_data.get('correct_count')}/{result_data.get('total_attempted')})\n"
            f"Message: {result_data.get('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 Tools")
    gr.Markdown(
        "1. Log in with your Hugging Face account.\n"
        "2. Click the button to evaluate the agent on GAIA questions.\n"
        "3. Results and score will appear below."
    )

    gr.LoginButton()
    run_button = gr.Button("🔁 Run & Submit to GAIA")
    status_output = gr.Textbox(label="Status", lines=5)
    results_table = gr.DataFrame(label="Results")

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


if __name__ == "__main__":
    print("🚀 Launching app...")
    demo.launch()