Spaces:
Sleeping
Sleeping
File size: 2,701 Bytes
88b7381 36c5605 7d9c229 36c5605 a7a0cfd e72326d a7a0cfd 032195e bdeadc9 a7a0cfd 7d9c229 821f4a7 184c8be 821f4a7 a7a0cfd 7d9c229 a7a0cfd 36c5605 88b7381 a7a0cfd 88b7381 36c5605 a7a0cfd 7d9c229 88b7381 a7a0cfd 821f4a7 a7a0cfd 36c5605 d9574e2 88b7381 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
import gradio as gr
import os
from postpartum_agent import PostpartumResearchAgent
# Hardcoded GAIA-style test questions
gaia_tasks = [
{"task_id": "q1", "question": "List all vegetables from: milk, eggs, flour, whole bean coffee, Oreos, sweet potatoes, fresh basil, plums, green beans, rice, corn, bell pepper, whole allspice, acorns, broccoli, celery, zucchini, lettuce, peanuts."},
{"task_id": "q2", "question": "What is postpartum depression and how should it be addressed?"},
{"task_id": "q3", "question": "Give a short tip on how to handle postpartum fatigue."},
{"task_id": "q4", "question": "Name a safe exercise for postpartum recovery."},
{"task_id": "q5", "question": "What should a mom eat to regain energy after childbirth?"}
]
# Instantiate your agent
agent = PostpartumResearchAgent()
def answer_question(question):
return agent.run(question)
def submit_to_gaia(profile: gr.OAuthProfile):
if profile is None:
return "β Please log in to Hugging Face first!"
username = profile.username
# rest of your logic...
space_id = os.getenv("SPACE_ID") or "your-username/your-space"
agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
answers = []
for q in gaia_tasks:
task_id = q["task_id"]
question_text = q["question"]
result = agent.run(question_text)
cleaned = (result or "").strip()
answers.append({
"task_id": task_id,
"submitted_answer": cleaned
})
payload = {
"username": username,
"agent_code": agent_code,
"answers": answers
}
# For testing, just show the payload instead of POSTing
preview = "\n".join([f"{a['task_id']}: {a['submitted_answer']}" for a in answers])
return f"""β
Submission complete!
Username: {username}
Tasks answered: {len(answers)}
Preview of answers:
{preview}
Agent code URL: {agent_code}
"""
with gr.Blocks() as demo:
gr.Markdown("# π€± Postpartum Research Agent with GAIA Submission")
with gr.Row():
with gr.Column():
question = gr.Textbox(label="Ask a Postpartum Question")
answer = gr.Textbox(label="Agent Answer", lines=6)
ask_btn = gr.Button("Get Answer")
with gr.Column():
gr.Markdown("### π Submit Your Agent to GAIA Leaderboard")
gr.LoginButton() # β
Adds login button to the UI
submit_output = gr.Textbox(label="Submission Result", lines=10)
submit_btn = gr.Button("Submit to GAIA")
ask_btn.click(fn=answer_question, inputs=question, outputs=answer)
submit_btn.click(fn=submit_to_gaia, outputs=submit_output)
demo.launch()
|