AI-Powered Document Summarization Made Easy with OpenAI and Streamlit

Introduction:

In the age of information overload, quickly understanding the content of lengthy documents can be a game-changer. In this article, I will guide you through creating an AI-powered document summarizer using the OpenAI API and Streamlit. We’ll demonstrate this with two use cases:

1. a scientific article on “The Impact of Climate Change on Marine Biodiversity” and
2. a fake clinical note detailing a patient’s medical history and treatment plan.

By the end of this tutorial, you’ll have a versatile tool capable of summarizing various document types.

Image generated by OpenAI’s DALL-E

Prerequisites

1. OpenAI API — Requires an API key, which costs about $10. For this amount, you can roughly process around 100,000 tokens, which is equivalent to summarizing approximately 50–100 medium-length documents, depending on their complexity.
   To put it in perspective, you could summarize about 10–20 books the size of “Harry Potter and the Sorcerer’s Stone” for the price of a few days’ worth of Starbucks coffee! For more details on pricing please see this link.
2. Python Environment: Ensure Python is installed on your system.

Building the summarizer tool