app.py

from dotenv import load_dotenv
load_dotenv()
import streamlit as st
import os
import sqlite3
import google.generativeai as genai
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))


def get_gemini_response(question,prompt):
    model=genai.GenerativeModel('gemini-pro')
    combined_prompt = prompt[0] + "\n" + question
    response = model.generate_content(combined_prompt)
    return response.text


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 Your Prompt

prompt = [
"""
You are an expert in converting English questions to SQL code!
The SQL database has the name STUDENT and has the following columns-
NAME,CLASS,SECTION,MARKS \n\n
For example,\n
Example 1 - How many entries of records are present?,
the SQL command will be something like select count(*) from student;

Example 1 - Tell me all the students from CSE class?,
the SQL command will be something like select * from student where class="CSE";

also the sql code should not have ``` in beginning or end and sql word in output



"""
]

st.set_page_config(page_title="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")

if submit:
    response = get_gemini_response(question,prompt)
    print(response)
    sql_response = read_sql_query(response,"student.db")
    st.subheader("The response is:")
    for row in sql_response:
        print(row)
        st.header(row)