app.py

from dotenv import load_dotenv

load_dotenv()  ## load all the environemnt variables

import streamlit as st
import os
import sqlite3

import google.generativeai as genai

## Configure Genai Key

genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

## Function To Load Google Gemini Model and provide queries as response


def get_gemini_response(question, prompt):
    model = genai.GenerativeModel("gemini-2.0-flash")
    response = model.generate_content([prompt[0], question])
    return response.text


## Fucntion To retrieve query from the database


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 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 App

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")

# if submit is clicked
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)