Webservice for EstNLTK's BERT tagger webservice

The service is based on FastAPI and uses the tartuNLP/EstBERT to return text embeddings. The model is downloaded automatically upon startup.

The API uses the following endpoints:

• POST /estnltk/tagger/bert - the main endpoint for obtaining BERT embeddings
• GET /estnltk/tagger/bert/about - returns information about the webservice
• GET /estnltk/tagger/bert/status - returns the status of the webservice

Configuration

The service should be run as a Docker container using the included Dockerfile. The API is exposed on port 8000. The following environment variables can be used to change webservice behavior:

• BERT_MODEL - the BERT model used, the value should be a valid HuggingFace model ID (tartuNLP/EstBERT by default).
• MAX_CONTENT_LENGHT - maximum lenght of the POST request body size in characters.

The container uses uvicorn as the ASGI server. The entrypoint of the container is ["uvicorn", "app:app", "--host", "0.0.0.0", "--proxy-headers"]. Any additional uvicorn parameters can be passed to the container at runtime as CMD arguments.