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import os
import gradio as gr
import json
import requests
from agent import load_tasks, solve_task
from smolagents import Task
# Load metadata
METADATA_PATH = "metadata.jsonl"
GAIA_API_URL = "https://huggingface.co/spaces/gaia-benchmark/api/submit"
# Optional auth for GAIA
HF_USER = os.getenv("HF_USERNAME")
HF_TOKEN = os.getenv("HF_TOKEN")
def run_and_submit_all(submit: bool = False):
tasks = load_tasks(METADATA_PATH)
results = []
for task in tasks:
answer = solve_task(task)
results.append({
"question_id": task.task_id,
"answer": answer,
})
if submit:
if not HF_USER or not HF_TOKEN:
raise ValueError("Missing HF_USERNAME or HF_TOKEN in env vars.")
response = requests.post(
GAIA_API_URL,
headers={
"Authorization": f"Bearer {HF_TOKEN}",
"Content-Type": "application/json",
},
json={
"username": HF_USER,
"level": "level1",
"answers": results,
},
)
return f"Submitted! Response: {response.text}"
return json.dumps(results, indent=2)
def single_task_run(question_id: str, question_input: str):
task = Task(task_id=question_id, input=question_input)
output = solve_task(task)
return output
# Gradio UI
with gr.Blocks() as demo:
gr.Markdown("# GAIA Benchmark Agent")
with gr.Tab("Run Single Task"):
with gr.Row():
qid = gr.Textbox(label="Question ID", placeholder="e.g., q123")
qtext = gr.Textbox(label="Question Text", lines=4)
out = gr.Textbox(label="Generated Answer")
btn = gr.Button("Run Agent")
btn.click(fn=single_task_run, inputs=[qid, qtext], outputs=out)
with gr.Tab(" Run All + Submit"):
submit_toggle = gr.Checkbox(label="Submit to GAIA?", value=False)
submit_btn = gr.Button("Run All Tasks")
batch_out = gr.Textbox(label="Batch Output", lines=20)
submit_btn.click(fn=run_and_submit_all, inputs=[submit_toggle], outputs=batch_out)
if __name__ == "__main__":
demo.launch()