Update app.py

app.py

@@ -144,6 +144,13 @@ def visualize(input_img, visual_emb_gam_setups, show_scores, show_cbars):
   
   return fig
 
+description = 'Visualize the patch contributions of [visual Emb-GAMs](https://huggingface.co/models?other=visual%20emb-gam) to class labels.'
+article = '''An extension of [Emb-GAMs](https://arxiv.org/abs/2209.11799), visual Emb-GAMs classify images by embedding images, taking intermediate representations correponding to different spatial regions, summing these up and predicting a class label from the sum using a GAM.
+
+The use of a sum of embeddings allows us to visualize which regions of an image contributed positive or negatively to each class score.
+
+No paper yet, but you can refer to this [tweet](https://twitter.com/patrick_j_ramos/status/1586992857969147904?s=20&t=5-j5gKK0FpZOgzR_9Wdm1g). Also, check out the original [Emb-GAM paper](https://arxiv.org/abs/2209.11799).'''
+
 demo = gr.Interface(
     fn=visualize,
     inputs=[
@@ -154,6 +161,10 @@ demo = gr.Interface(
     ],
     outputs=[
         gr.Plot(label='Patch contributions'),
-    ]
+    ],
+    examples=[[path,setups,False,False] for path in glob.glob('examples/*')],
+    title='Visual Emb-GAM Probing',
+    description=,
+    
 )
 demo.launch(debug=True)