DEV Community

Imran Khan
Imran Khan

Posted on • Edited on

3 1 1 1 1

Build Chat PDF app in Python with LangChain, OpenAI, Streamlit | Full project | Learn Coding

In this tutorial, you’ll learn how to build a project by using Langchain and Streamlit to develop GUI-based ChatGPT for your PDF documents. We’ll create an application that enables you to ask questions about PDFs and receive accurate answers.

▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

Link to the code: https://github.com/strongSoda/chat-with-pdf-tutorial

▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

Learn how to use OpenAI and the power of Langchain, an open-source Python (and Javascript) framework, to create intelligent applications. In this tutorial, I’ll guide you through building a fully functional Streamlit application. Train GPT on PDF documents. You can upload PDFs, ask questions, and receive prompt answers from the LLM. Take your natural language processing skills to the next level. Start building powerful applications with Langchain today!
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

About Me

I’m a Senior Product Engineer from India, working in web and mobile development. I enjoy turning complex problems into simple, beautiful, and intuitive software. I blog to share my software knowledge with others.

My job is to build your idea so that it is functional and user-friendly but at the same time attractive. Moreover, I add a personal touch to your product and make sure that is eye-catching and easy to use. I aim to help you validate and scale your startup most creatively.

Quick Links

Billboard image

The Next Generation Developer Platform

Coherence is the first Platform-as-a-Service you can control. Unlike "black-box" platforms that are opinionated about the infra you can deploy, Coherence is powered by CNC, the open-source IaC framework, which offers limitless customization.

Learn more

Top comments (0)

Image of Timescale

🚀 pgai Vectorizer: SQLAlchemy and LiteLLM Make Vector Search Simple

We built pgai Vectorizer to simplify embedding management for AI applications—without needing a separate database or complex infrastructure. Since launch, developers have created over 3,000 vectorizers on Timescale Cloud, with many more self-hosted.

Read more