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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}"}
# Fonction qui reçoit le prompt complet
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="Prompt direct pour IA hypnopoétique",
description="Utilisable avec un backend (server.js) qui envoie un prompt complet."
)
iface.launch() |