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| import requests | |
| import gradio as gr | |
| import os | |
| # ==================================================== | |
| # CONFIGURATION | |
| # ==================================================== | |
| BASE_URL = "https://huggingface.co/api/gaia" # Replace with your actual GAIA API base URL | |
| USERNAME = os.getenv("HF_USERNAME") or "your_hf_username_here" | |
| AGENT_CODE = "https://huggingface.co/spaces/your_username/gaia-agent/tree/main" | |
| # ==================================================== | |
| # API FUNCTIONS | |
| # ==================================================== | |
| def get_questions(): | |
| """Retrieve all evaluation questions""" | |
| resp = requests.get(f"{BASE_URL}/questions") | |
| resp.raise_for_status() | |
| return resp.json() | |
| def get_random_question(): | |
| """Retrieve a random single question""" | |
| resp = requests.get(f"{BASE_URL}/random-question") | |
| resp.raise_for_status() | |
| return resp.json() | |
| def submit_answers(answers): | |
| """Submit all answers to the leaderboard""" | |
| payload = { | |
| "username": USERNAME, | |
| "agent_code": AGENT_CODE, | |
| "answers": answers | |
| } | |
| resp = requests.post(f"{BASE_URL}/submit", json=payload) | |
| resp.raise_for_status() | |
| return resp.json() | |
| # ==================================================== | |
| # AGENT LOGIC | |
| # ==================================================== | |
| def answer_question(question): | |
| """Simple rule-based answering agent (replace with LLM logic later)""" | |
| q_text = question["question_text"].lower() | |
| if "capital" in q_text: | |
| return "Paris" | |
| elif "language" in q_text: | |
| return "English" | |
| elif "2+2" in q_text or "two plus two" in q_text: | |
| return "4" | |
| else: | |
| return "Unknown" | |
| def run_agent(): | |
| """Fetch all questions and generate answers""" | |
| questions = get_questions() | |
| answers = [] | |
| for q in questions: | |
| ans = answer_question(q) | |
| answers.append({ | |
| "task_id": q["task_id"], | |
| "submitted_answer": ans | |
| }) | |
| return answers | |
| # ==================================================== | |
| # GRADIO UI | |
| # ==================================================== | |
| def main_ui(): | |
| def on_run(): | |
| answers = run_agent() | |
| result = submit_answers(answers) | |
| return f"✅ Submission complete!\n\nResult:\n{result}" | |
| iface = gr.Interface( | |
| fn=on_run, | |
| inputs=[], | |
| outputs="text", | |
| title="🤗 GAIA Agent Submission Tool", | |
| description=( | |
| "This tool fetches GAIA questions, generates simple answers, and submits them " | |
| "to the Hugging Face leaderboard.\n\n" | |
| "👉 Replace the `answer_question()` logic with your own model or reasoning approach." | |
| ) | |
| ) | |
| iface.launch() | |
| if __name__ == "__main__": | |
| main_ui() | |