Hands-On AI: Building and Deploying LLM-Powered Apps

This is the repository for the LinkedIn Learning course Hands-On AI: Building and Deploying LLM-Powered Apps. The full course is available from [LinkedIn Learning][lil-course-url].

See the readme file in the main branch for updated instructions and information.

Lab1: Introduction to Chainlit

We will be using Chainlit as the frontend framework to develop our LLM Powered applications. Chainlit is an open-source Python package that makes it incredibly fast to build Chat GPT like applications with your own business logic and data.

In this lab, we will put up a very simple Chainlit application that echos a user's query.

For example, if user says

hello

Our Chainlit app will respond with

Received: hello

The learning objective is to familiarize with Chainlit's framework and to launch the application.

Exercises

We have created some template code in app/app.py in the app folder.

Please go through Chainlit's documentation and answer the questions in app/app.py
Please lanuch the application by running the following command on the Terminal:

chainlit run app/app.py -w