mirror of https://github.com/doccano/doccano.git
pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
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
$ pipenv sync --dev
$ pipenv shell
$ cd app
$ 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/.