Update app.py

app.py

@@ -35,7 +35,7 @@ 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 
 '''
 
-exmples = ["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?"]
 # examples = [
 #     ["When is the add/dropp period?"],
 #     ["What does it mean if instructor consent is required?"],