app.json

{
  "name": "rasa_nlu",
  "description": "a service for interpreting natural language",
  "image": "heroku/python",
  "repository": "https://github.com/RasaHQ/rasa_nlu",
  "keywords": ["python" ],
  "addons": [],
  "scripts": {
    "postdeploy": "echo '{}' > config.json;mkdir logs;python -m spacy download en"
  },
  "buildpacks": [
    {
      "url": "https://github.com/kennethreitz/conda-buildpack.git"
    }
  ],
  "env" : {
    "RASA_TOKEN": {
      "generator": "secret",
      "description": "token for validating requests"
    },
    "RASA_PIPELINE": {
      "description": "which pipeline to use",
      "value": "spacy_sklearn"
    },
    "RASA_PATH": {
      "description": "where to save models",
      "value": "/app/data"
    },
    "RASA_LOGDIR": {
      "description": "where to save logs",
      "value": "/app/logs"
    },
    "RASA_MITIE_FILE": {
      "description": "file containing mitie feature extractor",
      "value": "${RASA_PATH}/total_word_feature_extractor.dat"
    },
    "RASA_SERVER_MODEL_DIRS": {
      "description": "dir containing model which should be used to process requests",
      "required": false
    },
    "AWS_SECRET_ACCESS_KEY": {
      "description": "secret key for S3 access",
      "required": false
    },
    "AWS_ACCESS_KEY_ID": {
      "description": "key id for S3 access",
      "required": false
    },
    "BUCKET_NAME": {
      "description": "name of s3 bucket",
      "value": "rasanlu"
    },
    "AWS_REGION": {
      "description": "aws region of S3 bucket",
      "value": "eu-west-1"
    }
  }
}