main.py

app.py

@@ -0,0 +1,19 @@
+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')
+
+
+