Update app.py

app.py

@@ -141,10 +141,10 @@ For more information of how the images were created, please refer to [Open Parti
 The community's answers are then stored and used in this space to give a human-preference-based comparison of the different models. \n\n
 
 Currently the leaderboard includes the following models:
-- [kand2](https://huggingface.co/kandinsky-community/kandinsky-2-2-decoder),
-- [sdxl](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0),
-- [wuerst](https://huggingface.co/warp-ai/wuerstchen),
-- [karlo](https://huggingface.co/kakaobrain/karlo-v1-alpha),
+- [Kandinsky 2.2](https://huggingface.co/kandinsky-community/kandinsky-2-2-decoder)
+- [Stable Diffusion XL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
+- [Wuerstchen](https://huggingface.co/warp-ai/wuerstchen)
+- [Karlo](https://huggingface.co/kakaobrain/karlo-v1-alpha)
 
 In the following you can see three result tables. The first shows the overall comparison of the 4 models. The score states, 
 **the percentage at which images generated from the corresponding model are preferred over the image from all other models**. The second and third tables