Update app.py

app.py

@@ -50,21 +50,22 @@ set_png_as_page_bg('background.webp')
 #     #CNN_class_index = json.load(open(f"{os.getcwd()}F:\Machine Learning Resources\ZebraHorse\model.json"))
 #     return model, CNN_class_index
 
-def load_model():
-    if not os.path.isfile('model.h5'):
-        subprocess.run(['curl --output model.h5 "https://github.com/KaburaJ/Binary-Image-classification/blob/main/ZebraHorse/CNN%20Application/model.h5"'], shell=True)
-    
-        tf.keras.models.load_model('model.h5', compile=False)
-        return model
 # def load_model():
-#     # Load the model architecture
-#     with open('model.json', 'r') as f:
-#         model = model_from_json(f.read())
-
-#     # Load the model weights
-#     model.load_weights('model.h5')
-#     #CNN_class_index = json.load(open(f"{os.getcwd()}F:\Machine Learning Resources\ZebraHorse\model.json"))
-#     return model
+#     if not os.path.isfile('model.h5'):
+#         subprocess.run(['curl --output model.h5 "https://github.com/KaburaJ/Binary-Image-classification/blob/main/ZebraHorse/CNN%20Application/model.h5"'], shell=True)
+    
+#         tf.keras.models.load_model('model.h5', compile=False)
+#         return model
+        
+def load_model():
+    # Load the model architecture
+    with open('model.json', 'r') as f:
+        model_from_json(f.read())
+
+    # Load the model weights
+    model.load_weights('model.h5')
+    #CNN_class_index = json.load(open(f"{os.getcwd()}F:\Machine Learning Resources\ZebraHorse\model.json"))
+    return model
 
 
 def image_transformation(image):