app.py

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

from smolagents import (
    CodeAgent,
    DuckDuckGoSearchTool,
    InferenceClientModel
)

# --------------------------------------------------
# Constants
# --------------------------------------------------

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


# --------------------------------------------------
# Agent
# --------------------------------------------------

class BasicAgent:

    def __init__(self):

        print("Initializing Agent...")

        self.model = InferenceClientModel()

        self.agent = CodeAgent(
            tools=[
                DuckDuckGoSearchTool()
            ],
            model=self.model,
            add_base_tools=True,
            planning_interval=3
        )

        print("✅ Agent Ready")

    def __call__(self, question: str) -> str:

        prompt = f"""
You are solving a GAIA benchmark question.

IMPORTANT:

- Solve the question correctly.
- Use search tools when necessary.
- Use calculations when necessary.
- Think carefully.

VERY IMPORTANT:

Return ONLY the final answer.

Do NOT provide:

- explanations
- reasoning
- markdown
- bullet points
- "FINAL ANSWER:"
- "The answer is"
- "Answer:"
- extra text

Question:

{question}
"""

        try:

            result = self.agent.run(prompt)

            answer = str(result).strip()

            answer = answer.replace("FINAL ANSWER:", "")
            answer = answer.replace("Final Answer:", "")
            answer = answer.replace("Answer:", "")
            answer = answer.replace("The answer is", "")
            answer = answer.strip()

            print("=" * 80)
            print("QUESTION:")
            print(question)
            print()
            print("ANSWER:")
            print(answer)
            print("=" * 80)

            return answer

        except Exception as e:

            print(f"Agent Error: {e}")

            return ""


# --------------------------------------------------
# Submission 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

    api_url = DEFAULT_API_URL

    questions_url = f"{api_url}/questions"
    submit_url = f"{api_url}/submit"

    try:
        agent = BasicAgent()
    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=30
        )

        response.raise_for_status()

        questions_data = response.json()

        print(f"Fetched {len(questions_data)} questions")

    except Exception as e:

        return f"Question fetch failed: {e}", None

    answers_payload = []

    results_log = []

    for item in questions_data:

        task_id = item.get("task_id")
        question_text = item.get("question")

        if not task_id or question_text is None:
            continue

        try:

            print(f"TASK ID: {task_id}")
            print(f"QUESTION: {question_text}")

            submitted_answer = agent(question_text)

            print(f"SUBMITTED: {submitted_answer}")

            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:

            print(f"Task Error {task_id}: {e}")

            results_log.append(
                {
                    "Task ID": task_id,
                    "Question": question_text,
                    "Submitted Answer": f"ERROR: {e}"
                }
            )

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

    try:

        response = requests.post(
            submit_url,
            json=submission_data,
            timeout=300
        )

        response.raise_for_status()

        result_data = response.json()

        final_status = (
            f"Submission Successful!\n"
            f"User: {result_data.get('username')}\n"
            f"Overall Score: {result_data.get('score')}%\n"