Update app.py

app.py

@@ -265,14 +265,15 @@ To preprocess the data there were three options we considered:
 
 We anecdotally determined that when trained at lower steps the encoded hand model performed better than the standard MediaPipe model due to implied handedness. We theorize that with a larger dataset of more full-body hand and pose classifications, Holistic landmarks will provide the best images in the future however for the moment the hand encoded model performs best. """)
 
-    gr.Markdown("""<center><h3 style="text-align: center;"><a href="https://huggingface.co/Vincent-luo/controlnet-hands">Standard Model Link</a></h3>
-<h3 style="text-align: center;"> <a href="https://huggingface.co/MakiPan/controlnet-encoded-hands-130k/">Model using Hand Encoding</a></h3>
+    gr.Markdown("""<center><h2><b>LINKS 🔗</b></h2>
+    <h3 style="text-align: center;"><a href="https://huggingface.co/Vincent-luo/controlnet-hands">Standard Model Link</a></h3>
+    <h3 style="text-align: center;"> <a href="https://huggingface.co/MakiPan/controlnet-encoded-hands-130k/">Model using Hand Encoding</a></h3>
 
-<h3 style="text-align: center;"> <a href="https://huggingface.co/datasets/MakiPan/hagrid250k-blip2">Dataset Used To Train the Standard Model</a></h3>
-<h3 style="text-align: center;"> <a href="https://huggingface.co/datasets/MakiPan/hagrid-hand-enc-250k">Dataset Used To Train the Hand Encoding Model</a></h3>
+    <h3 style="text-align: center;"> <a href="https://huggingface.co/datasets/MakiPan/hagrid250k-blip2">Dataset Used To Train the Standard Model</a></h3>
+    <h3 style="text-align: center;"> <a href="https://huggingface.co/datasets/MakiPan/hagrid-hand-enc-250k">Dataset Used To Train the Hand Encoding Model</a></h3>
     
-<h3 style="text-align: center;"> <a href="https://github.com/Maki-DS/Jax-Controlnet-hand-training/blob/main/normal-preprocessing.py">Standard Data Preprocessing Script</a></h3>
-<h3 style="text-align: center;"> <a href="https://github.com/Maki-DS/Jax-Controlnet-hand-training/blob/main/Hand-encoded-preprocessing.py">Hand Encoding Data Preprocessing Script</a></h3></center>""")
+    <h3 style="text-align: center;"> <a href="https://github.com/Maki-DS/Jax-Controlnet-hand-training/blob/main/normal-preprocessing.py">Standard Data Preprocessing Script</a></h3>
+    <h3 style="text-align: center;"> <a href="https://github.com/Maki-DS/Jax-Controlnet-hand-training/blob/main/Hand-encoded-preprocessing.py">Hand Encoding Data Preprocessing Script</a></h3></center>""")
     
     model_type = gr.Radio(["Standard", "Hand Encoding"], label="Model preprocessing", info="We developed two models, one with standard MediaPipe landmarks, and one with different (but similar) coloring on palm landmarks to distinguish left and right")