from dotenv import load_dotenv
load_dotenv() ## load all the env valriable

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

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

## function to retrive 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 prompt
prompt=[
    """
    You are an expert in connecting 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 DS class?, 
      the SQL command will be something like this SELECT * FROM Student 
      where Class="DS"; 
      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 retrive any SQL query")
st.header("Gemini App To Retrive 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)