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Update app.py
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app.py
CHANGED
@@ -6,10 +6,12 @@ tokenizer = AutoTokenizer.from_pretrained("hrshtsharma2012/NL2SQL-Picard-final")
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model = AutoModelForSeq2SeqLM.from_pretrained("hrshtsharma2012/NL2SQL-Picard-final")
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def generate_sql(query):
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input_text = "
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inputs = tokenizer(input_text, return_tensors="pt", padding=True)
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outputs = model.generate(**inputs, max_length=512)
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sql_query = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return sql_query
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# Create a Gradio interface
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@@ -18,9 +20,10 @@ interface = gr.Interface(
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inputs=gr.Textbox(lines=2, placeholder="Enter your natural language query here..."),
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outputs="text",
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title="NL to SQL with Picard",
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description="This model converts natural language queries into SQL
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)
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# Launch the app
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if __name__ == "__main__":
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interface.launch()
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model = AutoModelForSeq2SeqLM.from_pretrained("hrshtsharma2012/NL2SQL-Picard-final")
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def generate_sql(query):
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input_text = "SQL: " + query
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inputs = tokenizer(input_text, return_tensors="pt", padding=True)
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outputs = model.generate(**inputs, max_length=512)
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sql_query = tokenizer.decode(outputs[0], skip_special_tokens=True)
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# Remove the "SQL: " prefix from the output
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sql_query = sql_query.replace("SQL: ", "")
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return sql_query
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# Create a Gradio interface
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inputs=gr.Textbox(lines=2, placeholder="Enter your natural language query here..."),
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outputs="text",
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title="NL to SQL with Picard",
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description="This model converts natural language queries into SQL. Enter your query!"
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)
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# Launch the app
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if __name__ == "__main__":
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interface.launch()
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