| 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() |