WHAT IS THIS BYTE?

In this byte-sized course you'll learn to use Streamlit to create a frontend for an LLM-powered Q&A application. Streamlit is an open-source Python library that simplifies the creation and sharing of custom frontends for machine learning and data science apps with the world.

This Byte will take about 4 hours to complete.

WHY IS THIS BYTE AWESOME?

Large Language Models (LLMs) are the latest technological revolution. And this course will teach you how to harness the power of LLMs to use them in your consumer-facing app so that you can share your AI app with the world.

In a previous Byte, "Developing LLM Apps with LangChain" (if you haven't taken that yet, click here to start!) we utilized a Jupyter Notebook to create our LLM-powered Q&A app. Jupyter Notebooks are a great tool for coding, prototyping, and experimentation, however they're not suitable for production or end-user use. If you want your application to be accessible to everyone, not just developers, you'll need to create a web app or frontend for it...and that's where Streamlit comes to the rescue!

Streamlit is an amazing open-source Python library that provides a fast way to build and share machine learning and data science applications. This course starts with a section that teaches you everything you need to know about Streamlit, specifically designed for beginners. Then in the second section we'll jump into building the frontend for your LLM-powered Q&A App.

WHAT DO I NEED TO KNOW BEFORE STARTING?

Required:

- Basic Python knowledge is required. Don't have that? Take the Python Bootcamp course now!

- In order to build the project in this course you must have already created an LLM-powered Q&A application, as you'll be building the frontend for that app. If you haven't done that, you can do so by taking the Developing LLM Apps with LangChain course right now (it'll take approx. 4 hours)!

- An OpenAI API key is required. A valid phone number is required to open a free OpenAI account. The free account is limited to 3 requests per minute and is valid for 3 months. After that, you must either open a new account or switch to a paid plan.

WHAT TOOLS WILL BE USED?

Python, LangChain, Streamlit, Chroma Vector Store, OpenAI, Vector Embeddings