Update app.py

app.py

@@ -240,15 +240,15 @@ examples = [
 
 gradio_app = gr.Interface(
     predict,
-    inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),
-    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
+    inputs=[gr.Image(label="img1", sources=['upload', 'webcam'], type="pil"), gr.Image(label="img2", sources=['upload', 'webcam'], 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,
     description="<p> \
                     <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 tested to 'img1' and 'img2'. <br>2. Upload a prompt image to 'im1' and 'im2'.  <br>\
+                    1. Upload images to be valided to 'img1' and 'img2'. <br>2. Upload images to 'im1' and 'im2'.  <br>\
                             <br> \
                             💎 SAM segments the target with any point or scribble, then SegGPT segments all other images. <br>\
                             💎 Examples below were never trained and are randomly selected for testing in the wild. <br>\