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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() |