Update app.py

app.py

@@ -8,6 +8,9 @@ labels = learn.dls.vocab
 def predict(img):
     pred,idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i,_ in enumerate(labels)}
+    
+with open("article.md") as f:
+    article = f.read()
 
 image = gr.inputs.Image(shape=(256,256))
 label = gr.outputs.Label()
@@ -15,6 +18,9 @@ examples = ['house1.jpg','house2.jpg','house3.jpg','house4.jpg','house5.jpg']
 title = "Storm Damaged House Classifier with fast.ai"
 description = "Has your house possibly been damaged by recent storms, use fast.ai to detect damage to your home with this fine-tuned resnet 50 model"
 
-intf = gr.Interface(fn=predict, inputs=image, outputs=label, examples=examples,title=title,description=description)
+intf = gr.Interface(fn=predict, inputs=image, outputs=label, examples=examples,title=title,description=description, article=article)
 
 intf.launch()
+
+
+