from dotenv import load_dotenv
load_dotenv()

import streamlit as st
import os
import sqlite3
import google.generativeai as genai

# Configure API key
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

# Function to load Gemini model and provide sql query as response
def get_gemini_response(question,prompt):
    model=genai.GenerativeModel('gemini-pro')
    response=model.generate_content([prompt[0],question])
    return response.text

# Funciton to retrieve query from the sql 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 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="AskSQL")

# App name
st.markdown("<h4 style='text-align: center;'>AskSQL</h4>", unsafe_allow_html=True)

# Input and submit
question=st.text_input(" ", key="input", placeholder="Ask question from the database")
submit=st.button("Submit")

# If submit is clicked
if submit:
    response=get_gemini_response(question,prompt)
    print(response)
    data=read_sql_query(response,"student.db")
    for row in data:
        formatted_row = ', '.join(map(str, row))
        st.header(formatted_row)