Update app.py

app.py

@@ -1,14 +1,14 @@
 import os
 import cv2
 from PIL import Image
+import segmentation_models as sm
 import numpy as np
-from sklearn.preprocessing import MinMaxScaler, StandardScaler
-
 from matplotlib import pyplot as plt
 import random
 
-from keras.utils import to_categorical 
+from keras.models import load_model
 from keras import backend as K
+
 import gradio as gr
 
 def jaccard_coef(y_true, y_pred):
@@ -23,7 +23,6 @@ def jaccard_coef(y_true, y_pred):
 
 weights = [0.166,0.166,0.166,0.166,0.166,0.166]
 
-import segmentation_models as sm
 
 dice_loss = sm.losses.DiceLoss(class_weights = weights)
 
@@ -33,8 +32,6 @@ focal_loss = sm.losses.CategoricalFocalLoss()
 total_loss = dice_loss + (1 * focal_loss)
 
 
-from keras.models import load_model
-
 
 saved_model = load_model('model/satellite_segmentation_full.h5',
                          custom_objects=({'dice_loss_plus_1focal_loss': total_loss,