Update app.py

app.py

@@ -1,5 +1,5 @@
 from keras.models import load_model
-from PIL import Image, ImageOps, Resampling
+from PIL import Image, ImageOps
 import numpy as np
 import gradio as gr
 
@@ -23,7 +23,8 @@ def predict(image):
 #resize the image to a 224x224 with the same strategy as in TM2:
 #resizing the image to be at least 224x224 and then cropping from the center
     size = (224, 224)
-    image = ImageOps.fit(image, size, Resampling.LANCZOS)
+    
+    image = ImageOps.fit(image, size, Image.Resampling.LANCZOS)
 
 #turn the image into a numpy array
     image_array = np.asarray(image)