Update app.py

app.py

@@ -1,3 +1,13 @@
+"""
+foldingdiff implements a diffusion model for generating protein structures. Inspired by the biological folding process,
+we perform diffusion on the angles between amino acid residues rather than the absolute 3D coordinates of each residue.
+By effectively treating each residue as its own reference frame, we shift the equivariance constraints into the
+representation space itself; this allows us to use a vanilla transformer model as our model. Here, we provide a simple
+online interface for generating single backbones with a given length, starting from a given random seed. 
+
+See our preprint at https://arxiv.org/abs/2209.15611 and our full codebase at https://github.com/microsoft/foldingdiff
+"""
+
 import os
 import gradio as gr
 
@@ -84,6 +94,8 @@ def sample_at_length(l:int, seed:int):
 
 interface = gr.Interface(
     fn=sample_at_length,
+    title="foldingdiff - protein backbone structure generation with diffusion models",
+    description=__doc__,
     inputs=[
         gr.Number(value=80, label="Protein backbone length to generate", show_label=True, precision=0),
         gr.Number(value=42, label="Random seed", show_label=True, precision=0),