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chore: import upstream snapshot with attribution
2026-07-13 13:24:47 +08:00

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# Moodbot
The `moodbot` example simulates how you can use your bot on different channels.
## 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 `moodbot` consists of the following files:
- **data/nlu.yml** contains training examples for the NLU model
- **data/stories.yml** contains training stories 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
## How to use this example?
Using this example you can build an actual assistant and chat with it on
different channels. To do so execute the following steps:
1. Train a Rasa 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 server that connects, for example, to Facebook:
```
rasa run -m models -p 5002 --connector facebook --credentials credentials.yml
```
If you want to connect to a different channel, replace `facebook` with the name of the
desired channel.
All available channels are listed in the `credentials.yml` file.
For more information on the different channels read our
[documentation](http://rasa.com/docs/rasa/messaging-and-voice-channels)
If you don't want to use any channel, you can chat with your bot
on the command line, using the following command:
```
rasa shell
```
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)!