import streamlit as st
from transformers import pipeline

# Load the SQLCoder model
sql_generator = pipeline('text-generation', model='defog/sqlcoder-7b-2')

st.title('SQL Table Extractor')

# Text input for SQL query
user_sql = st.text_input("Enter your SQL statement", "SELECT * FROM my_table WHERE condition;")

# Button to parse SQL
if st.button('Extract Tables'):
    # Generate SQL or parse directly
    results = sql_generator(user_sql)
    # Assuming results contain SQL, extract table names (this part may require custom logic based on output)
    tables = extract_tables_from_sql(results)
    
    # Display extracted table names
    st.write('Extracted Tables:', tables)

def extract_tables_from_sql(sql):
    # Dummy function: Implement logic to parse table names from SQL
    return ["my_table"]  # Example output