added queue option

app.py

@@ -76,10 +76,10 @@ with block:
     gr.Markdown(
         """# 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). Note that, the image generation might take long (around 400 seconds) as it will have to load the respective model pipeline into memory.  
+    Welcome to this Gradio-powered leaderboard! Select a theme and one of the dreambooth models trained by hackathon-participants, and key in your prompt as shown (eg., a photo of Shiba dog in a jungle). Note that, the image generation might take long (around 400 seconds) as it will have to load the respective model pipeline into memory.  
     <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).
+    DreamBooth Hackathon - is an ongoing community event where participants **personalize 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 comprises 5 _themes_ - Animals, Science, Food, Landscapes, 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).
     """
     )
     with gr.Row():
@@ -158,5 +158,5 @@ with block:
     block.load(get_submissions, inputs=[gr.Variable("landscape"), prompt_in], outputs=landscape_data)
     block.load(get_submissions, inputs=[gr.Variable("wildcard"), prompt_in], outputs=wildcard_data)
 
-
+block.queue(concurrency_count=3)
 block.launch()