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):
 
@@ -39,7 +39,7 @@ DESCRIPTION = 'Input two indoor pictures. First image being the original and sec
 EXAMPLES = [['Bedroom_1.jpg'],['Bedroom_2.jpg']]
 
 INPUTS=[gr.inputs.Image(type = 'pil', label='Original Image'),gr.inputs.Image(type = 'pil', label='Second Image')]
-OUTPUTS=gr.outputs.Textbox("Missing Item/s is/are: ")
+OUTPUTS=gr.outputs.Textbox(label="Missing Item/s is/are: ")
 
 interface=gr.Interface(object_classify,
                        INPUTS,