add: examples

README.md

@@ -11,9 +11,11 @@ license: afl-3.0
 # [Augmenting Convolutional networks with attention-based aggregation](https://arxiv.org/abs/2112.13692)
 
 Get the attention map of the model and understand the reason behind the classification decision.
+This model is trained on the ImageNette dataset.
 
-# Acknowledgements
+# Made by (equal contribution to space):
 
+- [Aritra Roy Gosthipaty](https://twitter.com/ariG23498)
 - [Devjyoti chakraborty](https://twitter.com/Cr0wley_zz)
 - [Ritwik Raha](https://twitter.com/ritwik_raha)
 

app.py

@@ -72,5 +72,5 @@ iface = gr.Interface(
 		gr.outputs.Image(label="Attention Map"),
 		gr.outputs.Label(num_top_classes=3, label="Prediction")
 	],
-	description="# Made By\n- [Devjyoti chakraborty](https://twitter.com/Cr0wley_zz)\n- [Ritwik Raha](https://twitter.com/ritwik_raha)\n- [Aritra Roy Gosthipaty](https://twitter.com/ariG23498)",
+	examples=[["examples/chainsaw.jpeg"], ["examples/church.jpeg"]],
 ).launch()