File size: 1,290 Bytes
2dd27c9 cd46d41 845ed2b cd46d41 845ed2b cd46d41 845ed2b cd46d41 845ed2b cd46d41 845ed2b cd46d41 845ed2b cd46d41 845ed2b cd46d41 845ed2b cd46d41 845ed2b cd46d41 845ed2b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
# 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](https://docs.chainlit.io/get-started/overview) 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`.
1. Please go through [Chainlit's documentation](https://docs.chainlit.io/get-started/pure-python) and answer the questions in `app/app.py`
2. Please lanuch the application by running the following command on the Terminal:
```bash
chainlit run app/app.py -w
```
|