import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

tokenizer = AutoTokenizer.from_pretrained("dbddv01/gpt2-french-small")
model = AutoModelForCausalLM.from_pretrained("dbddv01/gpt2-french-small")

def repondre(prompt):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(**inputs, max_length=100, pad_token_id=tokenizer.eos_token_id)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

iface = gr.Interface(fn=repondre, inputs="text", outputs="text", title="Assistant IA GPT-2 (FR)")
iface.launch()