Update app.py

app.py

@@ -19,7 +19,7 @@ context = """
 
     This unit may contribute to the development of 3 Swinburne Graduate Attributes which are communication skills, teamwork skills, and digital literacies. The unit's content are basic string analysis techniques, text wrangling, web scrapping and pre-processing, feature extraction, text classifiers information retreival evaluation, visualisation and advanced NLP technique, which may include only one of the following topics: topic modelling, text summarization, vector representation, deep learning, or sentiment analysis.
 
-    There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is jcmthan@swinburne.edu.my. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week.
+    There is one unit teaching staff and his name is Dr Joel Than Chia Ming. He is the lecturer and tutor of this unit . He can be contacted through his email which is jcmthan@swinburne.edu.my. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week.
 
     The week by week schedule of the unit for Semester 1, 2022 can be observed below:
     Week 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python