Build an AI Lecture Assistant with Python | Full tutorial @AssemblyAI
Build an AI Lecture Assistant with Python | Full tutorial  @AssemblyAI
Uploaded April 2024 | Updated September 2026, 2 weeks ago
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: assemblyai.com/dashboard/signup?utm_source=youtube&utm_medium=referral&utm_campaign=yt_ry_7
2. GitHub repo: github.com/AssemblyAI-Examples/lemur-lecture-summarizer/tree/main
3. Blog post: assemblyai.com/blog/build-an-interactive-lecture-summarization-app

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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



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Build an AI Lecture Assistant with Python | Full tutorial

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