File size: 2,839 Bytes
db7f350
b75a70f
3d87820
2ff76cf
b75a70f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
06fe586
b75a70f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
06fe586
b75a70f
db7f350
 
b75a70f
 
db7f350
b75a70f
db7f350
b75a70f
 
 
 
5f9d165
b75a70f
 
 
 
db7f350
b75a70f
 
db7f350
b75a70f
 
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
76
77
78
79
80
81
82
83
import os
import gradio as gr
import json
import requests
from openai import OpenAI

client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
MODEL = "gpt-4o"

# Charger questions
def load_questions():
    with open("questions.json", "r", encoding="utf-8") as f:
        return json.load(f)

# Générer réponses
def generate_answers():
    questions = load_questions()
    answers = []

    for q in questions:
        prompt = f"Réponds précisément à cette question : {q['question']}"
        try:
            response = client.chat.completions.create(
                model=MODEL,
                messages=[{"role": "user", "content": prompt}]
            )
            answer = response.choices[0].message.content.strip()
        except Exception as e:
            answer = f"Erreur: {str(e)}"
        answers.append({"task_id": q["task_id"], "question": q["question"], "answer": answer})
    return answers

# Affichage lisible
def format_display(answers):
    return "\n\n".join([f"🟨 Q: {a['question']}\n🟩 A: {a['answer']}" for a in answers])

# Fonction de soumission à GAIA
def submit_to_gaia(username, agent_url, answers):
    payload = {
        "username": username,
        "agent_link": agent_url,
        "answers": [{"task_id": a["task_id"], "answer": a["answer"]} for a in answers]
    }
    response = requests.post("https://gaia-benchmark.vercel.app/submit", json=payload)
    if response.status_code == 200:
        return f"✅ Soumission réussie ! Score : {response.json().get('score', '?')}"
    else:
        return f"❌ Erreur de soumission : {response.text}"

# Variables de session
answers_state = []

# UI avec Gradio Blocks
with gr.Blocks() as demo:
    gr.Markdown("# 🧠 GAIA Final Agent\nRéponds à 20 questions et soumets-les automatiquement à GAIA")
    with gr.Row():
        username_input = gr.Text(label="👤 Nom d'utilisateur Hugging Face")
        agent_url_input = gr.Text(label="🔗 URL du Space Hugging Face")

    output_display = gr.Textbox(label="📄 Résultats (réponses générées)", lines=20)

    with gr.Row():
        gen_btn = gr.Button("🧠 Générer les réponses")
        submit_btn = gr.Button("📤 Soumettre à GAIA")

    result_display = gr.Textbox(label="✅ Statut de soumission", lines=2)

    def handle_generate():
        global answers_state
        answers_state = generate_answers()
        return format_display(answers_state)

    def handle_submit(username, agent_url):
        if not answers_state:
            return "❌ Veuillez d'abord générer les réponses."
        return submit_to_gaia(username, agent_url, answers_state)

    gen_btn.click(fn=handle_generate, outputs=output_display)
    submit_btn.click(fn=handle_submit, inputs=[username_input, agent_url_input], outputs=result_display)

if __name__ == "__main__":
    demo.launch()