$ git clone git@github.com:DT42/epeuva-cli.git
$ python3 -m venv env
$ source env/bin/activate
(env)$ cd epeuva-cli
(env)$ python3 setup.py install
To use the Epeuva CLI, you need to have the access to an Epeuva (the End-to-End AI gateway) instance.
Currently, Epeuva has not been open-sourced yet, but it is planned to be (coming soon).
The Epeuva CLI will load the config file ~/.epeuva-cli.conf.
If this config file is not present or not in the correct format, a prompt will be shown when running any Epeuva CLI command to ask if you want to generate a new config (to replace the old config if any)
$ epeuva
[Errno 2] Config file not found: '/home/user/.epeuva-cli.conf'
Would you like to generate/update the config? [y/N]:
Enter y and the CLI will ask for the Epeuva host url (API url, ex. https://epeuva.ai/api/v1), username and password. When you finished, you will see this line:
Config file created. Please run the CLI command again.
Now you can start using Epeuva CLI.
Show help
$ epeuva --help
List all Apps
$ epeuva app list
Get single app info
$ epeuva app detail --id 1 show
List all base models
$ epeuva base list
List all labels of a base model
$ epeuva label list --base-id 1
Upload images to target label
$ epeuva label detail --id 3 upload_images *.jpg
Retrain model
$ epeuva job retrain --model-name cli-test-00 \
--label-list label.txt \
--app-id 1 \
--note "Hello world"
Convert model
$ epeuva job convert --model-name cli-test-00 --model-id 836 --platform snpe --app-id 1
Track task status
$ epeuva task detail --uuid <task-id> show
Download original model
$ epeuva model detail --id 836 --app-id 1 download
Download converted model
$ epeuva model detail --id 836 --app-id 1 download --converted