The code of this repo differs quite significantly from the original video. This is how to use it:

Training of the NLU model didn't change much from the way it was shown in the video. To train and test the model run:

python nlu_model.py

The biggest change in how Rasa Core model works is that custom action 'action_weather' now needs to run on a separate server. That server has to be configured in a 'endpoints.yml' file. This is how to train and run the dialogue management model:

1. Start the custom action server by running:

python -m rasa_core_sdk.endpoint --actions actions

2. Open a new terminal and train the Rasa Core model by running:

python dialogue_management_model.py

3. Talk to the chatbot once it's loaded.

The process of running the interactive session is very similar to training the Rasa Core model:

1. Make sure the custom actions server is running:

python -m rasa_core_sdk.endpoint --actions actions

2. Start the interactive training session by running:

python train_interactive.py

Latest code update: 09/06/2019 Latest compatible Rasa NLU version: 0.15.1 Latest compatible Rasa Core version: 0.14.5