Training the NLU model

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

Connecting a chatbot to Slack

1. Configure the slack app as shown in the video
2. Make sure custom actions server is running
3. Start the agent by running run_app.py file (don't forget to provide the slack_token)
4. Start the ngrok on the port 5004
5. Provide the url: https://your_ngrok_url/webhooks/slack/webhook to 'Event Subscriptions' page of the slack configuration.
6. Talk to you bot.