> For the complete documentation index, see [llms.txt](https://docs.openmind.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.openmind.com/developer-cookbook/examples/smart_toy.md). # Smart Toy ### LLM Model This example takes two inputs, emotional state and voice inputs, sends them to an LLM, and produces speech outputs and physical movements. The overall behavior of the system is configured in `/config/cubly.json5`. ### Emotion Detection with Cubly Run ```bash make run CONFIG=cubly ``` You should see your webcam light turn on and Cubly should speak to you from your default laptop speaker. You can see what is happening in the terminal logs. * There will be an initial delay for your system to download various packages and AI/ML models. * Arduino based movement generation only works if you actually have a suitable actuator connected to an Arduino, which is connected to your computer via a USB serial dongle. On Mac, you can determine the correct serial port name to use via `ls /dev/cu.usb*`. If you do not specify your computer's serial port, the example will provide logging data that simulates what it would send. * The **emotion estimation input** is provided by webcam data feeding into `cv2.CascadeClassifier(haarcascade_frontalface_default)`. See `/inputs/plugins/webcam_to_face_emotion`. * The **voice input** originates from the default microphone, which sends data to the cloud instance of Nvidia's RIVA. See `/inputs/plugins/asr`. * The **voice output** uses a cloud text to speech endpoint, which sends audio data to the default speaker. See `/actions/speak/connector/tts`. * The **Arduino serial movement actions** are sent to serial com port `COM1`, flowing to a connected Arduino, which can then generate servo commands. See `/actions/move_serial_arduino/connector/serial_arduino`. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.openmind.com/developer-cookbook/examples/smart_toy.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.