app.py

import os
import gradio as gr
import requests

API_URL = "https://api-inference.huggingface.co/models/mistralai/Mixtral-8x7B-Instruct-v0.1"
HF_TOKEN = os.environ["HF_TOKEN"]
headers = {"Authorization": f"Bearer {HF_TOKEN}"}

def generate_from_prompt(prompt):
    payload = {
        "inputs": prompt,
        "parameters": {
            "max_new_tokens": 180,
            "temperature": 0.9,
            "top_p": 0.95,
            "do_sample": True
        }
    }

    response = requests.post(API_URL, headers=headers, json=payload)
    output = response.json()

    if isinstance(output, list) and "generated_text" in output[0]:
        return output[0]["generated_text"]
    elif "generated_text" in output:
        return output["generated_text"]
    else:
        return "⚠️ Erreur : aucune réponse utile."

iface = gr.Interface(
    fn=generate_from_prompt,
    inputs=gr.Textbox(label="Prompt complet", lines=10),
    outputs="text",
    title="IA hypnopoétique •°○",
    description="Ce Space s'utilise avec un serveur externe (ex: Node.js) qui envoie un prompt déjà rédigé."
)

iface.launch()