rasa NLU supports using S3 to save your models, using the
module which you can install with
pip install boto3
Get your S3 credentials and set the following environment variables:
If there is no bucket with the name
$BUCKET_NAME rasa will create it.
Models are gzipped before saving to S3.
If you run the rasa NLU server with a
server_model_dirs which does not exist and
BUCKET_NAME is set, rasa will attempt to fetch a matching zip from your S3 bucket.
E.g. if you have
server_model_dirs = ./data/model_20161111-180000 rasa will look for a file named
model_20161111-180000.tar.gz in your bucket, unzip it and load the model.