update description

app.py

@@ -14,7 +14,7 @@ from diffusers import StableDiffusionPipeline
 def get_model_list(category):
     submissions_list = list_models(filter=["dreambooth-hackathon", category], full=True)
     spaces_pipeline_load = [submission.id for submission in submissions_list ]
-    return gr.Dropdown.update(choices=spaces_pipeline_load , value=spaces_pipeline_load[5])
+    return gr.Dropdown.update(choices=spaces_pipeline_load , value=spaces_pipeline_load[4])
 
 
 def get_initial_prompt(model_nm):
@@ -77,7 +77,7 @@ with block:
         """# Gradio-powered leaderboard for the DreamBooth Hackathon
     
     Welcome to this Gradio-powered leaderboard! Select a theme and one of the dreambooth models trained by hacakthon-participants, and key in your prompt as shown (eg., a photo of Shiba dog in a jungle)
-    <br>If you like a model demo, click on the model name in the table below and UPVOTE the model on Huggingface hub<br><br>
+    <br>**If you like a model demo, click on the model name in the table below and UPVOTE the model on Huggingface hub**<br><br>
     DreamBooth Hackathon - is an ongoing community event where particpants **personalise a Stable Diffusion model** by fine-tuning it with a powerful technique called [_DreamBooth_](https://arxiv.org/abs/2208.12242). This technique allows one to implant a subject into the output domain of the model such that it can be synthesized with a _unique identifier_ (eg., shiba dog) in the prompt. 
         This competition is composed of 5 _themes_ - Animals, Science, Food, Lanscapes, and Wildcards. For details on how to participate, check out the hackathon's guide [here](https://github.com/huggingface/diffusion-models-class/blob/main/hackathon/README.md).
     """