Lecture Summarizer

Overview

The lecture-summarizer project leverages the BERT model for extractive text summarization on lecture transcripts. It offers a RESTful API for serving summaries and a command line interface for user interaction.

Features

• BERT Model: Utilizes state-of-the-art BERT model for extractive text summarization.
• RESTful API: Provides a convenient API for accessing and interacting with the summaries.
• CLI tool: Enables users to easily interact with the service via command line interface.
• Local Hosting: Supports running the service locally using Docker for testing and development.
• Summary Creation: Allows users to create summaries from lecture transcripts with customizable ratios.
• Documentation: Offers comprehensive documentation for using the service and CLI tool.
• Parsing Support: Capable of parsing sdp file formats commonly used for Udacity lectures.

Summary

The lecture-summarizer project offers a powerful solution for generating extractive text summaries from lecture transcripts. With features like BERT model integration, RESTful API, and CLI tool, users can easily create and interact with summaries. Whether running the service locally with Docker or accessing the cloud-based service, the project provides a seamless experience for summarizing lectures.