app.py

import os
import gradio as gr
import requests
import pandas as pd

from tools import AnswerTool
from smolagents import CodeAgent

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

class BasicAgent:
    def __init__(self):
        # Initialize CodeAgent with a single custom AnswerTool to handle GAIA Level 1 questions
        self.agent = CodeAgent(
            model=None,
            tools=[AnswerTool()],
            add_base_tools=False,
            max_steps=1,
            verbosity_level=0
        )

    def __call__(self, question: str) -> str:
        # Directly run the agent on the question (single-step tool invocation)
        return self.agent.run(question)


def run_and_submit_all(profile: gr.OAuthProfile | None):
    """
    Fetch all GAIA Level 1 questions, run the BasicAgent, submit answers, and display results.
    """
    space_id = os.getenv("SPACE_ID")
    if not profile:
        return "Please login to Hugging Face with the login button.", None
    username = getattr(profile, "username", None) or getattr(profile, "name", None)
    if not username:
        return "Login error: username not found.", None

    # 1. Fetch questions
    questions_url = f"{DEFAULT_API_URL}/questions"
    try:
        resp = requests.get(questions_url, timeout=15)
        resp.raise_for_status()
        questions = resp.json()
    except Exception as e:
        return f"Error fetching questions: {e}", None

    # 2. Run agent on each question
    agent = BasicAgent()
    results, payload = [], []
    for q in questions:
        task_id = q.get("task_id")
        text = q.get("question")
        if not task_id or not text:
            continue
        try:
            ans = agent(text)
        except Exception as e:
            ans = f"ERROR: {e}"
        results.append({"Task ID": task_id, "Question": text, "Answer": ans})
        payload.append({"task_id": task_id, "submitted_answer": ans})

    if not payload:
        return "Agent returned no answers.", pd.DataFrame(results)

    # 3. Submit answers
    submit_url = f"{DEFAULT_API_URL}/submit"
    submission = {
        "username": username.strip(),
        "agent_code": f"https://huggingface.co/spaces/{space_id}/tree/main",
        "answers": payload
    }
    try:
        sub_resp = requests.post(submit_url, json=submission, timeout=60)
        sub_resp.raise_for_status()
        data = sub_resp.json()
        status = (
            f"Submission Successful!\n"
            f"User: {data.get('username')}\n"
            f"Score: {data.get('score')}% ({data.get('correct_count')}/{data.get('total_attempted')})\n"
            f"Message: {data.get('message')}"
        )
    except Exception as e:
        status = f"Submission Failed: {e}"

    return status, pd.DataFrame(results)


def test_random_question(profile: gr.OAuthProfile | None):
    """
    Fetch a single random GAIA question and return the agent's answer.
    """
    if not profile:
        return "Please login to Hugging Face with the login button.", ""
    try:
        q = requests.get(f"{DEFAULT_API_URL}/random-question", timeout=15).json()
        question = q.get("question", "")
        ans = BasicAgent()(question)
        return question, ans
    except Exception as e:
        return f"Error during test: {e}", ""

# --- Gradio Interface ---
with gr.Blocks() as demo:
    gr.Markdown("# Basic Agent Evaluation Runner")
    gr.Markdown(
        """
        **Instructions:**
        1. Clone this space and define your agent logic in `tools.py`.
        2. Log in with your Hugging Face account using the login button below.
        3. Use **Run Evaluation & Submit All Answers** or **Test Random Question**.
        """
    )

    login = gr.LoginButton()
    run_btn = gr.Button("Run Evaluation & Submit All Answers")
    test_btn = gr.Button("Test Random Question")

    status_out = gr.Textbox(label="Status / Result", lines=5, interactive=False)
    table_out = gr.DataFrame(label="Full Results Table", wrap=True)
    question_out = gr.Textbox(label="Random Question", lines=3, interactive=False)
    answer_out = gr.Textbox(label="Agent Answer", lines=3, interactive=False)

    # Wire buttons to callbacks; LoginButton auto-passes profile
    run_btn.click(fn=run_and_submit_all, inputs=[login], outputs=[status_out, table_out])
    test_btn.click(fn=test_random_question, inputs=[login], outputs=[question_out, answer_out])

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