from dotenv import load_dotenv
load_dotenv() 

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"))


# Funtion 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

#Funtion 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



# Definig the prompt

prompt=[
    """
    You are an expert in converting English questions to SQL query!
    The SQL database has the name STUDENTUIT and has the following columns - NAME, CLASS,
    SECTION \n\nFor example, \nExample 1 - How many entires of records are present?,
    the SQL command will be something like this SELECT COUNT(*) FROM STUDENTUIT ;
    \nExample 2 - Tell me all the students studying in CSE class?,
    the SQL command will be something like this SELECT * FROM STUDENTUIT where CLASS="CSE";
    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("Generate the prompt")

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