from dotenv import load_dotenv load_dotenv() ## load all env vars import streamlit as st import os import sqlite3 import google.generativeai as genai genai.configure(api_key=os.getenv("GOOGLE_API_KEY")) ## load Gemini def get_gemini_response(question,prompt): model=genai.GenerativeModel('gemini-pro') response=model.generate_content([prompt[0],question]) return response.text ## function to retrieve query def read_sql_query(sql,db): conn=sqlite3.connect(db) cur=conn.cursor() cur.execute(sql) rows=cur.fetchall() conn.commit() conn.close() for row in rows: print(row) return rows ## Define 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"; also the sql code should not have ``` in beginning or end and sql word in output """ ] ## streamlit st.set_page_config(page_title="I can Retrieve Any SQL query") st.header("Gemini App To Retrieve SQL Data") question=st.text_input("Input: ",key="input") submit=st.button("Ask the question") ## submit if submit: response=get_gemini_response(question, prompt) print(response) response=read_sql_query(response, "student.db") st.subheader("The Response is") for row in response: print(row) st.header(row)\ ## tell me the student name in the Data Science class ## tell me the class of the Krish and Gonzo ## tell me the student name from section B ## tell me the student whose marks are greater than 90 ## tell me the student names based on marks rank ## streamlit run sql.py