Update app.py

app.py

@@ -152,9 +152,6 @@ with gr.Blocks() as app:
             <a href="https://arxiv.org/abs/2402.05804">
                 <img src="https://img.shields.io/badge/Read_the_Paper-4CAF50?&logo=arxiv&logoColor=white" alt="Read the Paper">
             </a> 
-            <a href="https://huggingface.co/spaces/Derendering/Model-Output-Playground">
-                <img src="https://img.shields.io/badge/Output_Playground-007acc?&logo=huggingface&logoColor=white" alt="Try Demo on Hugging Face">
-            </a> 
             <a href="https://charlieleee.github.io/publication/inksight/">
                 <img src="https://img.shields.io/badge/🔗_Project_Page-FFA500?&logo=link&logoColor=white" alt="Project Page">
             </a>
@@ -164,11 +161,11 @@ with gr.Blocks() as app:
         </div>
         """
     )
-    gr.HTML(f"<div style='margin: 20px 0;'>{diagram}</div>")
+    gr.HTML(f"<div style='margin: 20px 0;'>{diagram}<br><em>InkSight system diagram (<a href="https://github.com/CharlieLeee/inksight/blob/main/figures/full_diagram.gif">gif version</a>)</em></div>")
     gr.Markdown(
         """
         🚀 This demo highlights the capabilities of Small-i, Small-p, and Large-i across three public datasets (word-level, with 100 random samples each).<br>
-        🔔 We've just released the InkSight-Small-p model on Hugging Face! Check it out [here](https://huggingface.co/Derendering/InkSight-Small-p).<br>
+        🔔 We've released the InkSight-Small-p model on Hugging Face! Check it out [here](https://huggingface.co/Derendering/InkSight-Small-p).<br>
         🎲 Select a model variant and dataset (IAM, IMGUR5K, HierText), then hit 'Sample' to view a randomly selected input alongside its corresponding outputs for all three types of inference.<br>
         """
     )