center description text

app.py

@@ -5,11 +5,12 @@ import random
 
 title = "Who Am I? (Hockey Edition)"
 
-desc = """This app uses a 'neural network' (a type of machine learning model) to classify 
-an image as containing a hockey player, a hockey goalie or a hockey referee."""
+desc = """<center>This app uses a 'neural network' (a type of machine learning model) to classify 
+an image as containing a hockey player, a hockey goalie or a hockey referee.</center>"""
 
 art = """I built this model using about 50 hockey related images found on the web and in my own collection. I started with a pretrained `resnet18` model (resnet18 is trained on `imagenet`, a very large dataset with millions of images)
 and then performed `fine tuning` of this using python and the `fast.ai` library. 
+
 The total training time for this was about 5 minutes on a basic GPU.  It's impressive how accurate this quick / small model can be!"""
 
 learn = load_learner('hockey_model.pkl')