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| import streamlit as st | |
| from pipeline import text_to_sql | |
| st.title("SQLCoder Text-to-SQL App") | |
| st.write("Powered by defog/sqlcoder-7b-2 🚀") | |
| # Sample queries for user guidance | |
| st.sidebar.header("Sample Queries") | |
| sample_queries = [ | |
| "List 11 names of ships type schooner", | |
| "Show me the 5 oldest ships", | |
| "What are the different types of vessels?", | |
| "Count the number of ships by type", | |
| "Show ships built after 1900" | |
| ] | |
| selected_sample = st.sidebar.selectbox("Choose a sample query:", [""] + sample_queries) | |
| # Main input | |
| nl_query = st.text_input( | |
| "Enter your natural language query:", | |
| value=selected_sample if selected_sample else "List 11 names of ships type schooner", | |
| help="Ask questions about your database in plain English" | |
| ) | |
| if st.button("🔄 Generate & Execute SQL"): | |
| if nl_query.strip(): | |
| with st.spinner("Generating SQL and executing query..."): | |
| try: | |
| sql, results = text_to_sql(nl_query) | |
| # Display results | |
| st.success("Query executed successfully!") | |
| # Show generated SQL | |
| st.subheader("Generated SQL:") | |
| st.code(sql, language="sql") | |
| # Show results | |
| st.subheader("Results:") | |
| if results: | |
| # Convert results to a more readable format | |
| if isinstance(results[0], tuple): | |
| # If results are tuples, display as table | |
| st.write(f"Found {len(results)} rows:") | |
| for i, row in enumerate(results[:50]): # Show first 50 rows | |
| st.write(f"Row {i+1}: {row}") | |
| if len(results) > 50: | |
| st.info(f"Showing first 50 rows out of {len(results)} total results.") | |
| else: | |
| st.write(results) | |
| else: | |
| st.info("Query executed successfully but returned no results.") | |
| except Exception as e: | |
| st.error(f"Error: {str(e)}") | |
| st.write("Please try rephrasing your query or check if the requested data exists in the database.") | |
| else: | |
| st.warning("Please enter a query to proceed.") |