mirror of https://github.com/doccano/doccano.git
pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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1.6 KiB
1.6 KiB
Getting started
Usage
doccano has two options to run:
- (Recommended) Docker Compose
- Docker
The usage of docker compose version is explained in the README.md. We highly recommend that you should use docker compose version. However, we explain the usage of Docker version and Python/Node version for the additional information.
Docker
As a one-time setup, create a Docker container for Doccano:
docker pull doccano/doccano
docker container create --name doccano \
-e "ADMIN_USERNAME=admin" \
-e "ADMIN_EMAIL=admin@example.com" \
-e "ADMIN_PASSWORD=password" \
-p 8000:8000 doccano/doccano
Next, start Doccano by running the container:
docker container start doccano
To stop the container, run docker container stop doccano -t 5
.
All data created in the container will persist across restarts.
Go to http://127.0.0.1:8000/.
For Developers
You can setup local development environment as follows:
$ git clone https://github.com/doccano/doccano.git
$ cd doccano
$ docker-compose -f docker-compose.dev.yml up
Go to http://127.0.0.1:3000/.
Or, you can setup via Python and Node.js:
Python
$ git clone https://github.com/doccano/doccano.git
$ cd doccano/app
$ pipenv sync --dev
$ python manage.py migrate
$ python manage.py create_roles
$ python manage.py create_admin --noinput --username "admin" --email "admin@example.com" --password "password"
$ python manage.py runserver
Node.js
$ cd doccano/frontend
$ yarn install
$ yarn dev
Go to http://127.0.0.1:3000/.