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Publish Docker image

Machine learning component belonging to edge-ml.

Depends on fastapi and uvicorn.

Before you can run the server run:

pip3 install -r requirements.txt

(if you're using macOS and this fails, try this)

Then create a .env file containing the credentials:

echo "SECRET_KEY=default_secret\nAPI_URI="http://localhost:3001/api"\nDATABASE_URI="mongodb://localhost:27017/aura_dev"\nAUTH_DATABASE_URI="mongodb://localhost:27017/aura_dev"\nAUTH_DATABASE_NAME="aura_dev"" > .env

(The credentials are as follows)

SECRET_KEY=default_secret
API_URI="http://localhost:3001/api"
DATABASE_URI="mongodb://localhost:27017/aura_dev"
AUTH_DATABASE_URI="mongodb://localhost:27017/aura_dev"
AUTH_DATABASE_NAME="aura_dev"

Run the server using

python3 main.py