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Create app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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# Load a text-to-SQL model. Can be swapped out for better ones later.
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generator = pipeline("text2text-generation", model="mrm8488/t5-base-finetuned-wikiSQL")
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def convert_to_sql(question):
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prompt = f"translate English to SQL: {question}"
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result = generator(prompt, max_length=256)[0]["generated_text"]
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return result
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demo = gr.Interface(
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fn=convert_to_sql,
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inputs=gr.Textbox(lines=2, placeholder="Ask a question about your data..."),
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outputs="text",
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title="Text-to-SQL Generator",
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description="Enter a natural language question and get the SQL query for a table named 'sales_data'."
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)
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demo.launch()
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