Update app.py

app.py

@@ -230,11 +230,11 @@ def predict(im1,im2):
     visualized_image1, visualized_image2 = visualize_masks(im1, RM.masks1, im2, RM.masks2)
     return visualized_image1, visualized_image2
 
-examples = [
-            ['./example/prostate_2d/image1.png', './example/prostate_2d/image2.png'],
-            ['./example/cardiac_2d/image1.png', './example/cardiac_2d/image2.png'],
+# examples = [
+            # ['./example/prostate_2d/image1.png', './example/prostate_2d/image2.png'],
+            # ['./example/cardiac_2d/image1.png', './example/cardiac_2d/image2.png'],
             # ['./example/pathology/1B_B7_R.png', './example/pathology/1B_B7_T.png'],
-           ]
+           # ]
 
 
 gradio_app = gr.Interface(
@@ -242,7 +242,7 @@ gradio_app = gr.Interface(
     inputs=[gr.Image(label="img1", type="pil"), gr.Image(label="img2", type="pil")],
     outputs=[gr.Image(label="ROIs in img1"), gr.Image(label="ROIs in img2")],
     title="SAMReg: One Registration is Worth Two Segmentations",
-    examples=examples,
+    # examples=examples,
     description="<p> \
                     <strong>Register anything with ROI-based registration representation.</strong> <br>\
                     Choose an example below &#128293; &#128293;  &#128293; <br>\