[Update]Add change line

src/about.py

@@ -30,9 +30,9 @@ SUB_TITLE = """<h2 align="center" id="space-title">Effective and efficient adver
 INTRODUCTION_TEXT = """
 This benchmark is evaluates the robustness of safety-driven unlearned diffusion models (DMs) 
 (i.e., DMs after unlearning undesirable concepts, styles, or objects) across a variety of tasks. For more details, please visit the [project](https://www.optml-group.com/posts/mu_attack), 
-check the [code](https://github.com/OPTML-Group/Diffusion-MU-Attack), and read the [paper](https://arxiv.org/abs/2310.11868).
-For demo of our offensive method: [UnlearnDiffAtk](https://huggingface.co/spaces/xinchen9/SD_Offense)\\
-demo of defensive method: [AdvUnlearn](https://huggingface.co/spaces/xinchen9/SD_Defense)
+check the [code](https://github.com/OPTML-Group/Diffusion-MU-Attack), and read the [paper](https://arxiv.org/abs/2310.11868).\\
+Demo of our offensive method: [UnlearnDiffAtk](https://huggingface.co/spaces/xinchen9/SD_Offense)\\
+Demo of defensive method: [AdvUnlearn](https://huggingface.co/spaces/xinchen9/SD_Defense)
 """
 
 # Which evaluations are you running? how can people reproduce what you have?