Update app.py

app.py

@@ -16,18 +16,20 @@ model = from_pretrained_keras(
 # the probabilities that this image is either spam or ham
 def predict(image):
     # Resize image
-    resized_image = keras.layers.Resizing(
-        IMAGE_SIZE[0],
-        IMAGE_SIZE[1],
-        interpolation="bilinear",
-        crop_to_aspect_ratio=True
-    )(image)
+    #resized_image = keras.layers.Resizing(
+    #    IMAGE_SIZE[0],
+    #    IMAGE_SIZE[1],
+    #    interpolation="bilinear",
+    #    crop_to_aspect_ratio=True
+    #)(image)
 
     # Add the batch axis
-    resized_image = tf.expand_dims(resized_image, axis=0)
+    #resized_image = tf.expand_dims(resized_image, axis=0)
+    image = tf.expand_dims(image, axis=0)
     
     # Predict
-    pred = model.predict(resized_image)
+    #pred = model.predict(resized_image)
+    pred = model.predict(image)
     prob = float(pred[0][0])
 
     scoring_output = {