Update app.py

app.py

@@ -14,4 +14,21 @@ from tensorflow.keras.layers import Dense
 import matplotlib.pyplot as plt
 import pickle
 
+import warnings
+warnings.filterwarnings("ignore", category=UserWarning)
 
+import streamlit as st
+import os
+
+st.title('Supply Chain Causal Analysis')
+
+# loading the save model
+model = tf.keras.models.load_model(os.path.join('Weights_Updated','Best_model.tf'), compile=False) 
+
+# loading the product label encoding object
+with open ('le_product.pkl','rb') as file:
+  le_product = pickle.load(file)
+
+# loading the scaling object
+with open ('scaler_scca.pkl','rb') as file1:
+  scaler = pickle.load(file1)