Abstract
In this tutorial we will guide you on all the steps requited to create, deploy, and run an AI-App. At the end of this tutorial you should have an AI App running.
Prerequisite
Your local environment has already installed:
- Openfabric Node 1.0
- Openfabric DevKit 1.0
- Docker engine
- Docker Compose
Note
It'd be preferred to use MacOS or Linux based operating system as it is hard to set up the toolkit on Windows.
Steps
In this section we cover the following topics:
| Step | Description |
|---|---|
| Define AI model | A comprehensive outline of the essential concepts required for developing a face recognition application. |
| Create concept input | Establish the input concept for your application. |
| Create concept output | Establish the output concept for your application. |
| Create concept config | Establish the config concept for your application. |
| Project structure | Create the face-recognition Python project and output the result in face-recognition folder. |
| Project intro | Gain a comprehensive understanding of the essential functions and structure of the generated project. |
| Model connnections | Create a model connection for the newly application concepts. |
| Pack and deploy | Deploy the newly developed application to Openfabric Xplorer. |
| Video tutorial | A video tutorial that will guide you through the process of creating your first Openfabric-App. |
