import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Hugo991/SQLBuilder")
model = AutoModelForCausalLM.from_pretrained("Hugo991/SQLBuilder")

def generate_sql(query):
    inputs = tokenizer(query, return_tensors="pt")
    outputs = model.generate(**inputs, max_new_tokens=256)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

gr.Interface(
    fn=generate_sql,
    inputs="text",
    outputs="text",
    title="SQLBuilder - Text to SQL",
    description="Entrez une requête en langage naturel, obtenez du SQL propre."
).launch()