Command Line Interface

The easiest way to test the abilities of the Intently NLU library is through the command line interface (CLI). The CLI is installed with the python package and is typically used by running python -m intently_nlu <command> [args].

Table of contents

• Command Line Interface
  • Table of contents
  • Commands
    • Version
    • Model Version
    • Download Resources
    • Generate Dataset
    • Train Model
    • Parsing
    • Cleanup

Commands

Version

To print the version of the library:

python -m intently_nlu version
>>> 0.0.2

Model Version

To print the current model version:

python -m intently_nlu model-version
>>> 2

To print the model version of a specific trained model:

python -m intently_nlu model-version -p path/to/engine.inlue
>>> 2

Download Resources

To download the resources for a specific language:

python -m intently_nlu download en

Generate Dataset

To generate a JSON dataset from intents and entities YAML file(s):

python -m intently_nlu generate-dataset en path/to/first.yaml path/to/second.yaml

Train Model

To train the model from a JSON dataset:

python -m intently_nlu train path/to/dataset.json path/to/engine_out.inlue

Parsing

To start parsing:

python -m intently_nlu parse path/to/engine.inlue

To parse a specific query:

python -m intently_nlu parse path/to/engine.inlue -q "Query to parse"

Cleanup

To delete logs (flag -l) and remove downloaded resources (flag -r):

python -m intently_nlu cleanup -l -r