Create app.py
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app.py
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("Hugo991/SQLBuilder")
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model = AutoModelForCausalLM.from_pretrained("Hugo991/SQLBuilder")
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def generate_sql(query):
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inputs = tokenizer(query, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=256)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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gr.Interface(
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fn=generate_sql,
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inputs="text",
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outputs="text",
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title="SQLBuilder - Text to SQL",
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description="Entrez une requête en langage naturel, obtenez du SQL propre."
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).launch()
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