The API is responsible for exposing the ML models through a HTTP REST API.
Usage
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The documentation is accessible through Swagger at http://127.0.0.1:8000/docs when hosted locally.
In order to deploy the ML API to Azure, please first build the Docker image and then push it to our container registry on Azure. At Azure we run an App Service that will automatically fetch the latest image and deploy it. The following Powershell commands can be used to first authenticate to Azure, connect to the registry, build the image and then push:
Please contact [Christian Marius Lillelund](mailto:cl@ece.au.dk) or [Christian Fischer Pedersen](mailto:cfp@ece.au.dk) for questions regarding this repository.