Update app.py

app.py

@@ -27,7 +27,7 @@ def img_pros(img):
 def create_model_mod(classes, activation):
     inputs = keras.Input(shape = (160,160,3))
     #normalizing pixel values
-    r = Rescaling(scale = 1./255)(inputs)
+    r = Rescaling(scale = 1/127.5, offset = -1)(inputs)
     x = base_model(r, training = False)
     gap = keras.layers.GlobalAveragePooling2D()(x)
     outputs = keras.layers.Dense(classes ,activation = activation)(gap)