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How to Build a Custom Summarization App with LangChain and Streamlit

Building a simple app to create custom summaries out of any pdf

One of my favorite applications of modern Large Language Models is to create summaries of PDFs.

More than just any summary, I want the ability to create customizable summaries that can fit any research or learning need.

In this article, you’ll learn how to build a simple custom summarization app, using LangChain and Streamlit.

If you prefer video, check out my Youtube video on this topic here:

Steps to Build a Summarization App with Custom Prompts

This app will allow users to create custom prompts to summarize PDF files using AI-powered language models like ChatGPT and GPT-4. The idea is to provide an interface for creating custom summaries out of any PDF file.

Steps

1. Import dependencies
2. Define the helper functions