from dotenv import load_dotenv
load_dotenv()           ## load all the environment 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-pro')
    response = model.generate_content([prompt[0],question])
    return response.text


## Function 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 column - 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 ;
    \n Example 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

    """
]



## SetUp streamlit App

st.set_page_config(page_title="I can Retrieve Any SQL query")
st.header("Gemini App to Retrieve SQL query")

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)