Update app.py

app.py

@@ -3,8 +3,16 @@ import tensorflow as tf
 import numpy as np
 import pandas as pd
 
-model_path = "kia_apartment_keras_model.keras"
-model = tf.keras.models.load_model(model_path)
+import pickle
+
+# Define the filename of your pickle model
+model_filename = "random_forest_regression_luxurious.pkl"
+
+# Open the file in read-binary mode and load the model
+with open(model_filename, 'rb') as f:
+    model = pickle.load(f)
+
+print("Pickle model loaded successfully!")
 
 df_bfs_data = pd.read_csv('bfs_municipality_and_tax_data.csv', sep=',', encoding='utf-8')
 df_bfs_data['tax_income'] = df_bfs_data['tax_income'].str.replace("'", "").astype(float)