D. Beamon Gives Your Arduino ChatGPT Powers, By Tying It Into...
If you are an enthusiast of Arduino development boards, then you are probably familiar with the Arduino IoT Cloud. The IoT cloud is a middleware that facilitates data transfer and communication between an Arduino board and the internet. What's exciting is that the maker D. Beamon has taken this a notch higher by integrating the ChatGPT language model to the Arduino IoT cloud, giving your project enhanced capabilities.
Integrating ChatGPT to the Arduino IoT Cloud
In this project, the language model is used to generate responses to prompted questions. The process involves using an Arduino IoT Cloud compatible device such as the Arduino Nano RP2040 Connect or any ESP32/ESP8266 device as a middleware. This device links the IoT Cloud and OpenAI's GPT-3.5 language model by receiving questions (prompts) from the IoT Cloud, sending them to the OpenAI API, receiving the responses, parsing them, and sending them back to the IoT Cloud.
You need to have an OpenAI account, a valid API key, and enough credits to query ChatGPT to execute this project. On the IoT Cloud dashboard, you will write the questions (prompts) and get the replies from ChatGPT. You can use your mobile phone and the IoT Remote app that works with Android and iOS. Write a question on the Chat Window box, and you will receive a parsed answer in a couple of seconds. Alternatively, write a question on the Question box, press the 'Send Question' button, and wait for the answer.
Expanding the Project
The basic project sets a foundation for other ideas, such as using the Arduino Nano RP2040 Connect board's built-in microphone to recognize speech as a natural way to input prompts for ChatGPT. Additionally, you can automate daily tasks using natural-language queries processed by the large language model.
The source code for the project and instructions for setting up the Arduino IoT Cloud dashboard are available on GitHub under the reciprocal GNU General Public License 3. The project is also published on the Arduino Project Hub.
