Update app.py

app.py

@@ -1,10 +1,10 @@
 from transformers import SegformerFeatureExtractor, SegformerForSemanticSegmentation
-from datasets import load_dataset
+#from datasets import load_dataset
 from transformers import pipeline
 from PIL import Image, ImageDraw, ImageFont
 import gradio as gr
 
-ds = load_dataset("hf-internal-testing/fixtures_ade20k", split="test")
+#ds = load_dataset("hf-internal-testing/fixtures_ade20k", split="test")
 
 def object_classify(img1,img2):
 
@@ -29,8 +29,8 @@ def object_classify(img1,img2):
     objects_2.append(j['label'])
    
   #gets the uncommon elements from the 2 lists
-  missing_objects= *list(set(objects_1)-set(objects_2)), sep = ", "
-  
+  missing_objects= list(set(objects_1)-set(objects_2))
+  missing_objects= *missing_objects, sep = ", "
   return missing_objects