Update app.py

app.py

@@ -66,10 +66,24 @@ rel_input = gr.inputs.Textbox(lines=1, default="country")
 output = gr.outputs.Label()
 
 examples = [
-            ['Adrian Kochsiek', 'gender'],
-            ['Apoorv Umang Saxena', 'family name'],
-            ['World War II', 'followed by'],
-            ['Apoorv Umang Saxena', 'country']
+['Adrian Kochsiek', 'sex or gender'],
+['Apoorv Umang Saxena', 'family name'],
+['World War II', 'followed by'],
+['Apoorv Umang Saxena', 'country'],
+['Ippolito Boccolini', 'writing language'] ,
+['Roelant', 'writing system'] ,
+['The Accountant 2227', 'language of work or name'] ,
+['Microbial Infection and AMR in Hospitalized Patients With Covid 19', 'study type'] ,
+['Carla Fracci', 'manner of death'] ,
+['list of programs broadcast by Comet', 'is a list of'] ,
+['Loreta Podhradí', 'continent'] ,
+['Opistognathotrema', 'taxon rank'] ,
+['Museum Arbeitswelt Steyr', 'wheelchair accessibility'] ,
+['Heliotropium tytoides', 'subject has role'] ,
+['School bus crash rates on routine and nonroutine routes.', 'sponsor'] ,
+['Tachigalieae', 'taxon rank'] ,
+['Irena Salusová', 'place of detention'] ,
+
 ]
 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).
@@ -82,6 +96,10 @@ description = """Demo for <a href='https://arxiv.org/abs/2203.10321'>Sequence-to
 
 article = """
 Under the hood, this demo concatenates the entity and relation, feeds it to the model and then samples 25 sequences, which are then ranked according to their sequence probabilities.
+<br>
+The text representations of the relations and entities can be downloaded from here: <a href="https://storage.googleapis.com/kgt5-wikikg90mv2/rel_alias_list.pickle">https://storage.googleapis.com/kgt5-wikikg90mv2/rel_alias_list.pickle</a> and 
+<a href="https://storage.googleapis.com/kgt5-wikikg90mv2/ent_alias_list.pickle">https://storage.googleapis.com/kgt5-wikikg90mv2/ent_alias_list.pickle</a>
+<br>
 For more details see the <a href='https://github.com/apoorvumang/kgt5'>Github repo</a> or the <a href="https://huggingface.co/apoorvumang/kgt5-base-wikikg90mv2">hf model page</a>.
 """