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"}'