Update app.py

app.py

@@ -33,13 +33,14 @@ article = '''
 This App uses an "MPNet" sentence-transformer to encode information from the website into an embedding space.
 When faced with a query, the semantically most similar document is retrieved.
 A text and a table language model ("Deberta-large" and "Tapas" here) extract the answers to the original question from the respective document and return them to the interface 
+For a more detailed description of the workings of this model, please refer to the full report, which is hosted on GitHub (https://github.com/LeoGitGuy/Bounwiki/blob/main/BounWiki.pdf)
 '''
 
 #examples = ["When is the add/dropp period?", "What does it mean if instructor consent is required?", "Where is the english preparatory unit located?"]
 examples = [
-    ["When is the add/dropp period?",""],
-    ["What does it mean if instructor consent is required?",""],
-    ["Where is the english preparatory unit located?",""],
+    ["When is the add/dropp period?"],
+    ["What does it mean if instructor consent is required?"],
+    ["Where is the english preparatory unit located?"],
 ]
 
 label = gr.outputs.Label(num_top_classes=3)