Update app.py

app.py

@@ -349,20 +349,43 @@ def seg_track_app():
     with app:
         gr.Markdown(
             '''
-            <div style="text-align:center;">
+            <div style="text-align:center; margin-bottom:20px;">
                 <span style="font-size:3em; font-weight:bold;">SAM2 for Video Segmentation 🔥</span>
             </div>
-            This API supports using box (generated by scribble) and point prompts for video segmentation with SAM2.
-
-            1. Upload video file 
-            2. Select mdoel size and downsample frame rate and run `Preprocess`
-            3. Use `Stroke to Box Prompt` to draw box on the first frame or `Point Prompt` to click on the first frame. 
-               Note: The bounding rectangle of the stroke should be able to conver the segmentation target.
-            4. Click `Segment` to get the segmentation result
-            5. Click `Add New Object` to add new object
-            6. Click `Start Tracking` to track objects in the video
-            7. Click `Reset` to reset the app
-            8. Download the video with segmentation results
+            <div style="text-align:center; margin-bottom:10px;">
+                <span style="font-size:1.5em; font-weight:bold;">Segment Anything in Medical Images and Videos: Benchmark and Deployment</span>
+            </div>
+            <div style="text-align:center; margin-bottom:20px;">
+                <a href="https://github.com/bowang-lab/MedSAM/tree/MedSAM2">
+                    <img src="https://badges.aleen42.com/src/github.svg" alt="GitHub" style="display:inline-block; margin-right:10px;">
+                </a>
+                <a href="https://arxiv.org/abs/2408.03322">
+                    <img src="https://img.shields.io/badge/arXiv-2408.03322-green?style=plastic" alt="Paper" style="display:inline-block; margin-right:10px;">
+                </a>
+                <a href="https://github.com/bowang-lab/MedSAMSlicer/tree/SAM2">
+                    <img src="https://img.shields.io/badge/3D-Slicer-Plugin" alt="3D Slicer Plugin" style="display:inline-block; margin-right:10px;">
+                </a>
+                <a href="https://drive.google.com/drive/folders/1EXzRkxZmrXbahCFA8_ImFRM6wQDEpOSe?usp=sharing">
+                    <img src="https://img.shields.io/badge/Video-Tutorial-green?style=plastic" alt="Video Tutorial" style="display:inline-block; margin-right:10px;">
+                </a>
+            </div>
+            <div style="text-align:left; margin-bottom:20px;">
+                This API supports using box (generated by scribble) and point prompts for video segmentation with 
+                <a href="https://ai.meta.com/sam2/" target="_blank">SAM2</a>.
+            </div>
+            <div style="margin-bottom:20px;">
+                <ol style="list-style:none; padding-left:0;">
+                    <li>1. Upload video file</li>
+                    <li>2. Select model size and downsample frame rate and run <b>Preprocess</b></li>
+                    <li>3. Use <b>Stroke to Box Prompt</b> to draw box on the first frame or <b>Point Prompt</b> to click on the first frame.</li>
+                    <li>&nbsp;&nbsp;&nbsp;Note: The bounding rectangle of the stroke should be able to cover the segmentation target.</li>
+                    <li>4. Click <b>Segment</b> to get the segmentation result</li>
+                    <li>5. Click <b>Add New Object</b> to add new object</li>
+                    <li>6. Click <b>Start Tracking</b> to track objects in the video</li>
+                    <li>7. Click <b>Reset</b> to reset the app</li>
+                    <li>8. Download the video with segmentation results</li>
+                </ol>
+            </div>
             '''
         )
 
@@ -568,7 +591,7 @@ def seg_track_app():
         )
         
     app.queue(concurrency_count=1)
-    app.launch(debug=True, enable_queue=True, share=False)
+    app.launch(debug=True, enable_queue=True, share=True)
 
 if __name__ == "__main__":
     seg_track_app()