Add article to app

app.py

@@ -11,17 +11,20 @@ def classify_image(image):
     _, _, probs = learn.predict(image)
     return dict(zip(categories, map(float, probs)))
 
-title = 'Mirror, mirror on the wall am I a duckling or a cygnet after all?'
-description = """Hans Christian Andersen's tale of the ugly duckling tells us about the sad youth of a cygnet acidentally being brought up in a family of ducks and being ostrized for its ugliness.\n But what if the poor cygnet had a magic mirror to tell it that it was in fact a young swan after all? Machine learning to the rescue!"""
+title = 'Mirror, mirror on the wall, am I a duckling or a cygnet after all?'
+description = """Hans Christian Andersen's tale of the ugly duckling tells us about the sad youth of a cygnet which is accidentally brought up in a family of ducks and is ostrized on the account of it being different. But what if the cygnet had a magic mirror to tell it that it was in fact a young swan after all? Machine learning to the rescue!"""
 
 examples = ['duckling.jpg', 'cygnet.jpg', 'sunflower.jpg', 'whiteclouds.jpg', 'yellowclouds.jpg']
 
+article = 'This model was build using a resnet-18 architecture, pretrained on ImageNet and finetuned using 100 images of ducklings and cygnets each.'
+
 app = gr.Interface(fn=classify_image,
                    inputs=gr.components.Image(),
                    outputs=gr.components.Label(),
                    examples=examples,
                    title=title,
                    description=description,
+                   article=article,
                    allow_flagging='never')
 
 app.launch()