improve description

app.py

@@ -311,8 +311,11 @@ article = """
 # British Library Books genre detection demo
 
 This demo alows you to play with a 'genre' detection model which has been trained to predict, from the title of a book, whether it is 'fiction' or 'non-fiction'.
+The model was trained with the [fastai](https://docs.fast.ai/) library on training data drawn from ditised books at the British Library. These Books are mainly from the 19th Century. 
 The demo also shows you which parts of the input the model is using most to make its prediction. You can hover over the words to see the attenton score assigned to that word. This gives you some sense of which words are important to the model in making a prediction.
 
+The examples include titles from the BL books collection. 
+
 ## Background 
 
 This model was developed as part of work by the [Living with Machines](https://livingwithmachines.ac.uk/). The process of training the model and working with the data is documented in a tutorial which will be released soon.