Weatherbot Tutorial (using the latest release of Rasa NLU and Rasa Core)

How to use this repo

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

Training the NLU model

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

Training the Rasa Core model

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.

Starting the interactive training session:

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