Update app.py

Finished description and changed examples

app.py

@@ -22,7 +22,8 @@ This engine uses information from the Bogazici University Website to answer ques
  - General Uni Information, like Busses from Uni, Taxi-Numbers
  - Schedule Information for all courses
  
-It returns the top 
+It returns the top 3 results and assigns each of them a confidence score which makes it easier to estimate if a given answer can be relied upon. 
+You can click on one of the examples below to get started. Have fun!
 '''
 
 
@@ -31,15 +32,15 @@ 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 language model ("deberta-large" here) extracts the answer to the original question from this document and returns it to the interface 
+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 
 '''
 
-
-examples = [
-    ["When is the add/dropp period?"],
-    ["What does it mean if instructor consent is required?"],
-    ["Where is the english preparatory unit located?"],
-]
+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?"],
+# ]
 
 label = gr.outputs.Label(num_top_classes=3)