Update app.py

app.py

@@ -233,7 +233,7 @@ def predict(im1,im2):
 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'],
+            ['./example/pathology/1B_B7_R.png', './example/pathology/1B_B7_T.png'],
            ]
 
 
@@ -247,13 +247,13 @@ gradio_app = gr.Interface(
                     <strong>Register anything with ROI-based registration representation.</strong> <br>\
                     Choose an example below &#128293; &#128293;  &#128293; <br>\
                     Or, upload by yourself: <br>\
-                    1. Upload images to be valided to 'img1' and 'img2'. <br>2. Upload images to 'im1' and 'im2'.  <br>\
+                    1. Upload images to be aligned to 'img1' and 'img2'. <br>\
                             <br> \
                             💎 The correspondence representation is presented by multiple paired-ROIs in the same color. <br>\
                             💎 Examples below are all medical images for the algorithm proposed for medical registration initially. <br>\
                             💎 Current UI interface only unleashes a small part of the capabilities of SAMReg, i.e., 2D registration w 'embedding' mode. \
 </p>",
-    cache_examples=False,
+    cache_examples=True,
     # allow_flagging="never",
 )