Have you ever felt like you can’t catch up with all the new information out there -- no matter how much time you spend reading? 

Well, you are not alone – I wish to have laser eyes that scan and store information right into my brain. While I wait for a few human evolutions to (hopefully) have that superpower, here’s an idea: why don’t I build a text summarizer using machine learning? I can save time by reading the essence of a text.

And so I did. This course will show you how to easily implement a text summarizer using the "Hugging Face Transformers" library. 

We will go through all the steps in detail, from web scraping a blog post, preprocessing text article, to summarizing it. There is a bonus section at the end for converting the summarized text into an audiobook.

Sounds good to you? Let’s get started.

Table of Contents:
00:00 - Introduction
04:27 - Install and Import Modules
08:24 - Load Model and Scrape Text from A Blog
18:49 - Text Preprocessing
33:36 - Text Summarization
36:58 - Make It An Audiobook