Parse a message with the trained nlu model

using the last version of rasa 1, after training the model, I’m trying to run the nlu server to parse sentence with it using the command: python -m rasa_nlu.server --path [model] so after the server runs, when I pass a message to it as follows:

curl 'http://localhost:5000/parse?q=terrible'

what i always gets as a result is:

{ “intent”: { “name”: null, “confidence”: 1.0 }, “entities”: [], “text”: “terrible”, “project”: “default”, “model”: “fallback”

it seems like I’m not actually passing any trained models however I did that already with the command above while starting the nlu server any help please?

We changed the command line interface in Rasa 1.0. Are you sure you are using Rasa 1.x? The command python -m rasa_nlu.server --path [model] should not work with Rasa 1.x. We combined the Rasa NLU and Core server. There is only one server now. To parse a message with latest Rasa version, you should execute the following steps:

  1. Train a Rasa model using rasa train. If you just want to train an NLU model use rasa train nlu.
  2. Start a Rasa server with rasa run --enable-api
  3. Parse a message by running
curl -X POST \
  http://localhost:5005/model/parse \
  -d '{
    "text": "Hello!"

Please, check out the documentation on the Command Line Interface for more information.

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