Please use https://github.com/inception-project/inception-external-recommender
This project contains an example external recommender for the INCEpTION annotation platform. It is used to recommend possible named entities and part-of-speech tags to an annotator in order to speed up annotation and improve annotation quality. It uses spacy internally to do this predictions and Flask as the web framework.
The request format is described in the INCEpTION external recommender documentation.
This project uses Python ≥ 3.5, Flask, spacy and dkpro-cassis. It is recommended to install these dependencies in a virtual environment:
virtualenv venv --python=python3 --no-site-packages
source venv/bin/activate
python -m pip install git+https://github.com/dkpro/dkpro-cassis
pip install flask
pip install spacy
spacy needs a pretrained model. These can be installed by issuing
python -m spacy download ${MODEL_NAME}
from the command line where ${MODEL_NAME} is the name for the model. A list of pretrained models can be found on the spacy page. Make sure that the model has the capabilities you want, this project needs for instance by default syntax for tagging and entities for named entity recognition.
After everything has been set up, the recommender then can be started from the command line by calling
python app.py ${MODEL_NAME}
When used in production, it is better to deploy this Flask project on an actual application server like Gunicorn.
