# Reminderbot The `reminderbot` example demonstrates how your bot can respond to external events or reminders. ## What’s inside this example? This example contains some training data and the main files needed to build an assistant on your local machine. The `reminderbot` consists of the following files: - **data/nlu.yml** contains training examples for the NLU model - **data/rules.yml** contains rules for the Core model - **config.yml** contains the model configuration - **domain.yml** contains the domain of the assistant - **credentials.yml** contains credentials for the different channels - **endpoints.yml** contains the different endpoints reminderbot can use - **actions/actions.py** contains the custom actions that deal with external events and reminders ## How to use this example? To train and chat with `reminderbot`, execute the following steps: 1. Train a Rasa Open Source model containing the Rasa NLU and Rasa Core models by running: ``` rasa train ``` The model will be stored in the `/models` directory as a zipped file. 2. Run a Rasa SDK action server with ``` rasa run actions ``` 3. To test this example, run a [callback channel](https://rasa.com/docs/rasa/connectors/your-own-website#callbackinput). In a separate console window from where you ran the step 2 command: ``` python callback_server.py ``` This will run a server that prints the bot's responses to the console. Start your Rasa server in a third console window: ``` rasa run --enable-api ``` You can then send messages to the bot via the callback channel endpoint: ``` curl -XPOST http://localhost:5005/webhooks/callback/webhook \ -d '{"sender": "tester", "message": "hello"}' \ -H "Content-type: application/json" ``` For more information about the individual commands, please check out our [documentation](http://rasa.com/docs/rasa/command-line-interface). ## Encountered any issues? Let us know about it by posting on [Rasa Community Forum](https://forum.rasa.com)!