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Millions of new blog posts are written each day. Thousands of tweets are set free to the world each second. Millions of minutes of podcasts are published every. Single. Week. So how do you keep up with all of it? I'll tell you how, using AI Text Summarization. In this particular case we're going to be running through how to perform long form summarization for blog posts. We'll be able to scrape a website using Beautiful Soup. Bring the text into a Python Jupyter Notebook and have a pre-trained, AI powered summarization pipeline from Hugging Face do all the summarizing for us! In this video, you'll learn how to: 1. Setting up Hugging Face Summarization Pipelines 2. Scrape Blog Posts from the web using Beautiful Soup 3. Preprocess Blog Posts into Chunks 4. Perform long form summarization using Hugging Face AI Summarization Pipeline Get the code: https://github.com/nicknochnack/Longf... Chapters: 0:00 - Start 4:17 - Installing and Importing Hugging Face Transformers 6:05 - Importing Hugging Fact AI Summarization Pipeline 7:30 - Scraping Blog Posts Using BeautifulSoup and Python 15:55 - Chunking Text for Parsing to Transformers 24:17 - Summarizing the Blog Post Using Transformers 29:19 - Outputting Summaries to Text 31:13 - Updating Summarization Flows Oh, and don't forget to connect with me! LinkedIn: / nicholasrenotte Facebook: / nickrenotte GitHub: https://github.com/nicknochnack Patreon: / nicholasrenotte Join the Discussion on Discord: / discord Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand!