Update app.py

app.py

@@ -1,3 +1,20 @@
+import gradio as gr
+import os
+import cv2
+from PIL import Image
+import numpy as np
+from matplotlib import pyplot as plt
+import random
+from keras.utils import get_custom_objects
+import os
+
+#os.environ['SM_FRAMEWORK'] = 'tf.keras'
+
+import segmentation_models as sm
+
+from keras import backend as K
+from keras.models import load_model
+
 class_building = '#3C1098'
 class_building = class_building.lstrip('#')
 class_building = np.array(tuple(int(class_building[i:i+2], 16) for i in (0,2,4)))
@@ -22,25 +39,6 @@ class_unlabeled = '#9B9B9B'
 class_unlabeled = class_unlabeled.lstrip('#')
 class_unlabeled = np.array(tuple(int(class_unlabeled[i:i+2], 16) for i in (0,2,4)))
 
-
-import gradio as gr
-import os
-import cv2
-from PIL import Image
-import numpy as np
-from matplotlib import pyplot as plt
-import random
-from keras.utils import get_custom_objects
-import os
-
-#os.environ['SM_FRAMEWORK'] = 'tf.keras'
-
-import segmentation_models as sm
-
-from keras import backend as K
-from keras.models import load_model
-
-
 def jaccard_coef(y_true, y_pred):
     y_true_flatten = K.flatten(y_true)
     y_pred_flatten = K.flatten(y_pred)