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"))

# Create a function 

def get_gemini_response(question,prompt):

    model = genai.GenerativeModel("gemini-pro")

    response = model.generate_content([prompt[0], question])
    return response.text

def read_sql_query(sql, db):
    conn = sqlite3.connect(db)
    cur = conn.cursor()
    cur.execute(sql)
    rows = cur.fetchall()
    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 folowing columns - NAME, CLASS,
SECTION \n\n For 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 begining 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:
    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)