open examples option. Specify the gradio version to enable the dragging on example images.

app.py

@@ -61,7 +61,7 @@ def pred_maps(image_1, image_2, image_3, image_4):
 
 
 N = 4
-# examples = [[_] for _ in glob('example_images/butterfly/*')][:N]
+examples = [[_] for _ in glob('example_images/butterfly/*')][:N]
 
 ipt = [gr.Image().style(width=600, height=150) for _ in range(N)]
 opt = [gr.Image().style(width=600, height=150) for _ in range(N)]
@@ -69,7 +69,7 @@ demo = gr.Interface(
     fn=pred_maps,
     inputs=ipt,
     outputs=opt,
-    # examples=examples,
+    examples=examples,
     interpretation='default',
     title='Online demo for `GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector (T-PAMI 2023)`',
     description='Upload pictures, most of which contain salient objects of the same class. Our demo will give you the binary maps of these co-salient objects :)\n**********Example images need to be dropped into each block, instead of click.**********'

requirements.txt

@@ -1,5 +1,5 @@
+gradio==3.22.1
 torch==1.13.1
 torchvision==0.14.1
 opencv-python
-fvcore
-scikit-image
+fvcore