Warning: This document is for an old version of Rasa. The latest version is 1.10.8.

Using NLU Only

If you want to use Rasa only as an NLU component, you can!

Training NLU-only models

To train an NLU model only, run:

rasa train nlu

This will look for NLU training data files in the data/ directory and saves a trained model in the models/ directory. The name of the model will start with nlu-.

Testing your NLU model on the command line

To try out your NLU model on the command line, use the rasa shell nlu command:

rasa shell nlu

This will start the rasa shell and ask you to type in a message to test. You can keep typing in as many messages as you like.

Alternatively, you can leave out the nlu argument and pass in an nlu-only model directly:

rasa shell -m models/nlu-20190515-144445.tar.gz

Running an NLU server

To start a server with your NLU model, pass in the model name at runtime:

rasa run --enable-api -m models/nlu-20190515-144445.tar.gz

You can then request predictions from your model using the /model/parse endpoint. To do this, run:

curl localhost:5005/model/parse -d '{"text":"hello"}'