ok

app.py

@@ -15,11 +15,14 @@ import gradio as gr
 title = "Is this a photo of a doing his business? Or just a dog hanging out?"
 desc = "My dog Kona has a nasty habit of doing her business in a very particular spot in the upstairs of our house. Using this model, I'll be able to aim a camera at that spot and send a text alert whenever she does this, so I'll have a better chance of correcting the bad behavior in the moment, which is essential to training a dog."
 
+
+article = "Check out [my blog post](https://currentlyobsessed.com/p/my-first-deep-learning-model-doo-doo-detective) about this project."
+
 examples = ['kona.jpg', 'baddog.jpg']
 
 enable_queue=True
 
-iface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), title=title, description=desc, examples=examples)
+iface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), title=title, description=desc, examples=examples, article=article)
 
 iface.launch()