# Load all environment variables

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

# Configure GenAI Key
genai.configure(api_key="AIzaSyA4jlt819TA84K9zr5EUroIQK83Rsx1A6E")  # Use environment variable for API key

# Function to load Google Gemini Model and provide queries as responses
def get_gemini_response(question, prompt):
    try:
        model = genai.GenerativeModel('gemini-pro')
        response = model.generate_content([prompt[0], question])
        return response.text.strip()  # Ensure no extra whitespace
    except Exception as e:
        st.error(f"Error generating response: {e}")
        return ""

# Function to retrieve query from the database
def read_sql_query(sql, db):
    try:
        conn = sqlite3.connect(db)
        cur = conn.cursor()
        cur.execute(sql)
        rows = cur.fetchall()
        conn.close()
        return rows
    except sqlite3.Error as e:
        st.error(f"SQL error: {e}")
        return []

# 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";
    Note: The SQL code should not have ``` in beginning or end, and should not include the word "sql".
    """
]

# Streamlit App
st.set_page_config(page_title="SQL Query Retriever")
st.header("Gemini App To Retrieve SQL Data")

question = st.text_input("Input your question:", key="input")

if st.button("Ask the question"):
    response = get_gemini_response(question, prompt)
    if response:
        st.write(f"Generated SQL Query: `{response}`")
        result = read_sql_query(response, "students.db")
        if result:
            st.subheader("Query Results")
            for row in result:
                st.write(row)
        else:
            st.write("No results returned or an error occurred.")