Update app.py

app.py

@@ -72,9 +72,9 @@ examples = [
             ['Apoorv Umang Saxena', 'country']
 ]
 title = "Interactive demo: KGT5"
-description = """Demo for <a href='https://arxiv.org/abs/2203.10321'>Sequence-to-Sequence Knowledge Graph Completion and Question Answering </a> (KGT5). This particular model is a T5-base model trained on the task of tail prediction on WikiKG90Mv2 dataset and obtains 0.239 validation MRR on this task(<a href="https://ogb.stanford.edu/docs/lsc/leaderboards/#wikikg90mv2">leaderboard</a>, see paper for details).
- To use it, simply give an entity name and relation and click 'submit'. Upto 25 model predictions will show up in a few seconds. The model works best when the exact relation names that it has been trained on are used.
-<br>
+description = """Demo for <a href='https://arxiv.org/abs/2203.10321'>Sequence-to-Sequence Knowledge Graph Completion and Question Answering </a> (KGT5). This particular model is a T5-base model trained on the task of tail prediction on WikiKG90Mv2 dataset and obtains 0.239 validation MRR on this task (<a href="https://ogb.stanford.edu/docs/lsc/leaderboards/#wikikg90mv2">leaderboard</a>, see paper for details).
+ To use it, simply give an entity name and relation and click 'submit'. Upto 25 model predictions will show up in a few seconds. The model works best when the exact entity/relation names that it has been trained on are used. 
+ It is sometimes able to generalize to unseen entities as well (see examples).
 """
 #article = """
 #<p style='text-align: center'><a href='https://arxiv.org/abs/2203.10321'>Sequence-to-Sequence Knowledge Graph Completion and Question Answering </a> | <a href='https://github.com/apoorvumang/kgt5'>Github Repo</a></p>