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"))

## 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 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 columns - NAME, CLASS, SECTION \n\n
    For example, \nExample1 - 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 Retreive Any SQL query")
st.header("Text to SQL query App")

question=st.text_input("Input: ", key="input")
submit=st.button("Ask the question")

# if submit is clicked
if submit:
    query=get_gemini_response(question,prompt)
    st.subheader("The SQL query is")
    st.text(query)

    response=read_sql_query(query, 'student.db')
    st.subheader("The response is")
    for row in response:
        print(row)
        st.text(row)