| 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() |
