from dotenv import load_dotenv
load_dotenv() ## load all environment variables

import streamlit as st
import os
import sqlite3

import google.generativeai as genai
## configue genai key

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

## Funcation load Google Gemini Model and provide queries as response

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 DB

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 retreive 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)