Update tf import paths

src/handler.py

@@ -3,7 +3,7 @@ from skimage.io import imread
 from io import BytesIO
 import numpy as np
 import urllib
-from keras.preprocessing.image import array_to_img, img_to_array
+from tensorflow.keras.preprocessing.image import array_to_img, img_to_array
 
 from PIL import Image
 

src/model.py

@@ -1,17 +1,19 @@
 import numpy as np
-from keras.utils.data_utils import get_file
+from tensorflow.keras.utils import get_file
 from config import MODEL_HDF5_PATH
 
 
-LABELS = np.loadtxt("labels.txt", dtype=object, delimiter="\n")
+with open("labels.txt", "r") as f:
+    LABELS = list(filter(None, f.read().split("\n")))
+
 
 
 def initialize_model():
     # import the necessary packages
-    from keras.models import Sequential
-    from keras.layers import BatchNormalization
-    from keras.layers.convolutional import Conv2D, MaxPooling2D
-    from keras.layers.core import Flatten, Dropout, Dense
+    from tensorflow.keras.models import Sequential
+    from tensorflow.keras.layers import BatchNormalization
+    from tensorflow.keras.layers import Conv2D, MaxPooling2D
+    from tensorflow.keras.layers import Flatten, Dropout, Dense
 
     # CONV => RELU => POOL
     cnn = Sequential()