Update app.py

app.py

@@ -1,22 +1,19 @@
 import streamlit as st
 import numpy as np
 from tensorflow.keras.models import load_model
-import tensorflow.keras.losses
+from tensorflow.keras.losses import MeanSquaredError
 import joblib
 
-tensorflow.keras.losses.mse = tensorflow.keras.losses.mean_squared_error
-
 @st.cache_resource
 def load_resources():
     custom_objects = {
-        'mse': tensorflow.keras.losses.mean_squared_error
+        'mse': MeanSquaredError()
     }
     model = load_model('bike_model.h5', custom_objects=custom_objects)
     scaler_x = joblib.load('scaler_x.pkl')
     scaler_y = joblib.load('scaler_y.pkl')
     features = np.load('feature_names.npy', allow_pickle=True)
     return model, scaler_x, scaler_y, features
-
 st.title('🚲 Bike Sharing Demand Predictor')
 st.write('Predict hourly bike rental demand based on weather conditions and time features.')