Build an Interactive PDF Reader Using LangChain and Streamlit

The Natural Language Processing market has gained a lot of momentum recently and is projected to continue this upward trend. This growth is expected due to a number of favorable factors, but the most important of these is the ability to process language at a semantic level in LLMs such as GPT-3.

In this project, we’ll create an interactive PDF reader using LangChain and Streamlit. The LangChain framework will enable us to seamlessly integrate a chatbot into our application. The application will allow a user to upload any PDF document, and then the chatbot will answer questions the user may ask by looking up the relevant text in the PDF. The referenced pages are extracted and displayed to provide context to the answer.

We’ll use Streamlit to create the web application, the HuggingFace models for creating embeddings, and the GPT 3.5 LLM for language generation. To implement our NLP pipeline, we’ll use LangChain. The basic functionality of the web application is shown in the figure below: