Warning: This document is for an old version of Rasa. The latest version is 1.6.1.

Using NLU Only

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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"}'