In this tutorial we'll learn how to create an application that summarizes your lectures, and lets you ask questions about the lecture with responses that relate specifically to the lecture's content. We'll use Python and Streamlit to build the application - You can demo the app here: https://lemur-lecture-summarizer.streamlit.app/ Relevant links: 1. Get an AssemblyAI API Key: https://www.assemblyai.com/dashboard/signup?utm_source=youtube&utm_medium=referral&utm_campaign=yt_ry_7 2. GitHub repo: https://github.com/AssemblyAI-Examples/lemur-lecture-summarizer/tree/main 3. Blog post: https://www.assemblyai.com/blog/build-an-interactive-lecture-summarization-app/ ▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬ 🖥️ Website: https://www.assemblyai.com/discover/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_ry_7 🐦 Twitter: https://twitter.com/AssemblyAI 🦾 Discord: https://discord.gg/Cd8MyVJAXd ▶️ Subscribe: null 🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 0:00 Application demo 1:10 Environment setup 1:30 API Key field 3:21 Lecture selector 7:30 Transcribing the lecture 11:53 Summarizing the lecture 14:40 Lecture questions 17:13 Setting initial values 18:55 Extracting phone call insights with LLMs #MachineLearning #DeepLearning