new description

app.py

@@ -7,7 +7,7 @@ import gradio as gr
 from model import run_model
 
 DESCRIPTION = '# [CutS3D](https://leonsick.github.io/cuts3d/): Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation \n\n' \
-                'This is a demo for the CutS3D Zero-Shot model. The model is trained on the [ImageNet](https://image-net.org/) dataset. '
+                'This is a demo for the CutS3D Zero-Shot model. The model is trained on [ImageNet](https://image-net.org/), initially with unsupervised pseudo-masks and then further with one round of self-training. The first prediction will likely be slow as the model is loaded into memory. Subsequent predictions will be faster.'
 
 paths = sorted(pathlib.Path('demo_imgs').glob('*.jpg'))