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| # Load all environment variables | |
| import streamlit as st | |
| import os | |
| import sqlite3 | |
| import google.generativeai as genai | |
| # Configure GenAI Key | |
| genai.configure(api_key="AIzaSyA4jlt819TA84K9zr5EUroIQK83Rsx1A6E") # Use environment variable for API key | |
| # Function to load Google Gemini Model and provide queries as responses | |
| def get_gemini_response(question, prompt): | |
| try: | |
| model = genai.GenerativeModel('gemini-pro') | |
| response = model.generate_content([prompt[0], question]) | |
| return response.text.strip() # Ensure no extra whitespace | |
| except Exception as e: | |
| st.error(f"Error generating response: {e}") | |
| return "" | |
| # Function to retrieve query from the database | |
| def read_sql_query(sql, db): | |
| try: | |
| conn = sqlite3.connect(db) | |
| cur = conn.cursor() | |
| cur.execute(sql) | |
| rows = cur.fetchall() | |
| conn.close() | |
| return rows | |
| except sqlite3.Error as e: | |
| st.error(f"SQL error: {e}") | |
| return [] | |
| # Define your prompt | |
| prompt = [ | |
| """ | |
| You are an expert in converting English questions to SQL query! | |
| The SQL database has the name STUDENT and has the following columns - NAME, CLASS, | |
| SECTION. \n\nFor example,\nExample 1 - How many entries of records are present?, | |
| the SQL command will be something like this: SELECT COUNT(*) FROM STUDENT; | |
| \nExample 2 - Tell me all the students studying in Data Science class?, | |
| the SQL command will be something like this: SELECT * FROM STUDENT | |
| WHERE CLASS="Data Science"; | |
| Note: The SQL code should not have ``` in beginning or end, and should not include the word "sql". | |
| """ | |
| ] | |
| # Streamlit App | |
| st.set_page_config(page_title="SQL Query Retriever") | |
| st.header("Gemini App To Retrieve SQL Data") | |
| question = st.text_input("Input your question:", key="input") | |
| if st.button("Ask the question"): | |
| response = get_gemini_response(question, prompt) | |
| if response: | |
| st.write(f"Generated SQL Query: `{response}`") | |
| result = read_sql_query(response, "students.db") | |
| if result: | |
| st.subheader("Query Results") | |
| for row in result: | |
| st.write(row) | |
| else: | |
| st.write("No results returned or an error occurred.") | |