rectfied output

app.py

@@ -6,7 +6,7 @@ import numpy as np
 from PIL import Image
 import torch 
 import cv2 
-from transformers import CLIPSegProcessor, CLIPSegForImageSegmentation,AutoProcessor
+from transformers import CLIPSegProcessor, CLIPSegForImageSegmentation,AutoProcessor,AutoConfig
 from skimage.measure import label, regionprops
 
 processor = CLIPSegProcessor.from_pretrained("CIDAS/clipseg-rd64-refined")
@@ -94,7 +94,7 @@ with gr.Row():
         labels = gr.Textbox(placeholder="Enter Label/ labels ex. cat,car,door,window,",scale=4)
         button = gr.Button(value="Locate objects")
     with gr.Column():
-        outputs = gr.outputs.Image(type="numpy", label="Detected Objects with Selected Category")
+        outputs = gr.Image(type="numpy", label="Detected Objects with Selected Category")
     button.click(shot,inputt,labels)