Update app.py

app.py

@@ -48,15 +48,20 @@ 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():
-    # Load the model architecture
-    with open('https://github.com/KaburaJ/Binary-Image-classification/blob/main/ZebraHorse/CNN%20Application/model.json', 'r') as f:
-        model = model_from_json(f.read())
-
-    # Load the model weights
-    model.load_weights('https://github.com/KaburaJ/Binary-Image-classification/blob/main/ZebraHorse/CNN%20Application/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)
+
+model = tf.keras.models.load_model('model.h5', compile=False)
+# 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
 
 
 def image_transformation(image):