app.py

import gradio as gr
from datasets import load_dataset

# Load the WikiSQL dataset
wikisql_dataset = load_dataset("wikisql", split='train[:100]')  # Load a subset of the dataset

# Create a mapping between natural language queries and SQL queries
query_sql_mapping = {item['question']: item['sql']['human_readable'] for item in wikisql_dataset}

def generate_sql_from_user_input(query):
    # Look up the SQL query corresponding to the user's input
    sql_query = query_sql_mapping.get(query, "No exact match found in the dataset.")
    return sql_query

# Create a Gradio interface
interface = gr.Interface(
    fn=generate_sql_from_user_input,
    inputs=gr.Textbox(label="Enter your natural language query"),
    outputs=gr.Textbox(label="SQL Query from Dataset"),
    title="NL to SQL using WikiSQL Dataset",
    description="This interface returns the SQL query from the WikiSQL dataset that exactly matches your natural language input."
)

# Launch the app
if __name__ == "__main__":
    interface.launch()