How to Build a Python Project that Summarizes Your Lectures

This tutorial demonstrates how to create a Python application using Streamlit that automatically summarizes lecture transcripts. The app utilizes the AssemblyAI API for generating transcript summaries and highlights, which can be applied to video lectures or recorded Zoom calls. The Automatic Transcript Highlights feature detects important phrases and words in the transcription text, while Auto Chapters provides a "summary over time" by segmenting audio data into logical chapters as the topic of conversation changes. By combining these features, users can easily navigate to significant parts of the video and read through summaries for each chapter.