Update app.py

app.py

@@ -64,7 +64,7 @@ model.save('modified_model.h5')
 
 
 # custom_objects = {'BatchNormalization': tf.keras.layers.BatchNormalization}
-model = load_model('modified_model.h5')
+loaded_model = load_model('modified_model.h5')
 
 # Load the h5 model
 # model = tf.keras.models.load_model("model.h5")
@@ -104,7 +104,7 @@ def predict():
         image = preprocess_image(image, target_size)
 
         # Make prediction
-        predictions = model.predict(image)
+        predictions = loaded_model.predict(image)
         predicted_class = np.argmax(predictions, axis=-1)[0]
         confidence = np.max(predictions, axis=-1)[0]