Update app.py

app.py

@@ -40,6 +40,8 @@ def frontalize(image):
     return generated_image
 
 iface = gr.Interface(frontalize, gr.inputs.Image(type="numpy"), "image",
+                                 title='Face Frontalization', 
+                                 description='PyTorch implementation of a supervised GAN (see <a href="https://blog.scaleway.com/gpu-instances-using-deep-learning-to-obtain-frontal-rendering-of-facial-images/">blog post</a>)',
                                  examples=["amos.png", "clarissa.png"],
 )
 iface.launch()