Update app

app.py

@@ -25,46 +25,17 @@ predictor = SamPredictor(mobile_sam)
 # Description
 title = "<center><strong><font size='8'>Faster Segment Anything(MobileSAM)<font></strong></center>"
 
-description_e = """This is a demo on Github project [Faster Segment Anything(MobileSAM) Model](https://github.com/ChaoningZhang/MobileSAM). Welcome to give a star ⭐️ to it.
-                
-                🎯 Upload an Image, segment it with Faster Segment Anything (Everything mode). The other modes will come soon.
-                
-                ⌛️ It takes about 5~ seconds to generate segment results. The concurrency_count of queue is 1, please wait for a moment when it is crowded.
-                
-                🚀 To get faster results, you can use a smaller input size and leave high_visual_quality unchecked.
-                
-                📣 You can also obtain the segmentation results of any Image through this Colab: [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://drive.google.com/file/d/1k6azd5wdOOYkFwi61uXoIHfP-qBzuoOu/view?usp=sharing)
-                
-                🏠 Check out our [Model Card 🏃](https://huggingface.co/dhkim2810/MobileSAM)
+description_e = """This is a demo of [Faster Segment Anything(MobileSAM) Model](https://github.com/ChaoningZhang/MobileSAM).
 
-                😚 Most of our demo code is from [FastSAM Demo](https://huggingface.co/spaces/An-619/FastSAM). Huge thanks for AN-619.
-                
-              """
+                   We will provide box mode soon. 
 
-description_p = """ # 🎯 Instructions for points mode
-                This is a demo on Github project [Faster Segment Anything(MobileSAM) Model](https://github.com/ChaoningZhang/MobileSAM). Welcome to give a star ⭐️ to it.
-
-                🎯 Upload an Image, segment it with Faster Segment Anything (Everything mode). The other modes will come soon.
+                   Enjoy!
                 
-                ⌛️ It takes about 5~ seconds to generate segment results. The concurrency_count of queue is 1, please wait for a moment when it is crowded.
-
-                🚀 To get faster results, you can use a smaller input size and leave high_visual_quality unchecked.
-
-                📣 You can also obtain the segmentation results of any Image through this Colab: [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://drive.google.com/file/d/1jibN6HTQcC4C2okoaKLRzHIo_pS0Eeom/view?usp=sharing)
-
-                🏠 Check out our [Model Card 🏃](https://huggingface.co/dhkim2810/MobileSAM)
-
+              """
 
+description_p = """ # Instructions for points mode
                 
-                1. Upload an image or choose an example.
-                
-                2. Choose the point label ('Add mask' means a positive point. 'Remove' Area means a negative point that is not segmented).
-                
-                3. Add points one by one on the image.
-                
-                4. Click the 'Segment with points prompt' button to get the segmentation results.
-                
-                **5. If you get Error, click the 'Clear points' button and try again may help.**
+                You can use your own image or sample images.
 
               """