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import streamlit as st
import joblib
import pandas as pd
import numpy as np
import plotly.graph_objects as go
from PIL import Image
import time
import matplotlib.pyplot as plt
from io import BytesIO
# Load the saved trained models, transformers, and the scalers
num_imputer = joblib.load('https://drive.google.com/file/d/1qdh31R8f7KzP3UZY9rZkMUrtxDbX69sr/view?usp=drive_link/numerical_imputer.joblib')
cat_imputer = joblib.load('https://drive.google.com/file/d/1qdh31R8f7KzP3UZY9rZkMUrtxDbX69sr/view?usp=drive_link/cat_imputer.joblib')
encoder = joblib.load('https://drive.google.com/file/d/1qdh31R8f7KzP3UZY9rZkMUrtxDbX69sr/view?usp=drive_link/encoder.joblib')
scaler = joblib.load('https://drive.google.com/file/d/1qdh31R8f7KzP3UZY9rZkMUrtxDbX69sr/view?usp=drive_link/scaler.joblib')
lr_model = joblib.load('https://drive.google.com/file/d/1qdh31R8f7KzP3UZY9rZkMUrtxDbX69sr/view?usp=drive_link/lr_smote_model.joblib')
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