Incorporating chatGPT into Your Arduino Project!

Table of Contents

1. Introduction
2. Why Build a ChatGPT Terminal?
3. Components Needed for the Project
4. Microcontroller Development Board
5. PS/2 Style Keyboard
6. OLED Display
7. Adding Pizzazz with a Laser Engraver
8. Wiring the Connections
9. Overview of the Code Flow
10. Setting up the ChatGPT API
11. Conclusion

Introduction

Are You interested in integrating the power of ChatGPT into your own Arduino projects? In this article, we will explore how you can incorporate the textual responses from ChatGPT into your Arduino projects. We will guide you through the process of creating a standalone ChatGPT terminal using an Arduino-compatible ESP32, a PS/2 style keyboard for input, and an OLED display for output. With this project, you can bring the intelligence of ChatGPT into the physical world and explore the possibilities of AI edge applications.

Why Build a ChatGPT Terminal?

Millions, if not billions, of dollars are being generated by embedding intelligence into hardware devices. There is a significant financial incentive for pushing AI to the edge, into actual physical things. However, the specific applications and usefulness of AI in solving real-world problems remain to be seen. By building a ChatGPT terminal, we can explore the potential of large language models like ChatGPT and how they can be integrated into the physical world. The Arduino ecosystem provides a fast and affordable platform for prototyping AI edge applications, making it an ideal choice for this project.

Components Needed for the Project

To build the ChatGPT terminal, you will need three major components: a microcontroller development board, a PS/2 style keyboard, and an OLED display. The microcontroller development board used in this project is the FeatherS2 ESP32 by Unexpected Maker. While any ESP8266 board should work, the FeatherS2 offers great features and compatibility. The PS/2 style keyboard is preferred because of the available libraries that simplify reading key presses. These keyboards can be easily obtained from thrift stores or online platforms. Lastly, an OLED display with a resolution of 128x64 pixels is used to Show the text output. There are various sizes of OLED displays available, allowing you to choose the one that best suits your use case.

Adding Pizzazz with a Laser Engraver

To enhance the aesthetics of the project, a faceplate was created using a MonPort laser engraver. Bamboo sheets were cut using a 40-watt desktop laser engraver, adding a touch of pizzazz to the ChatGPT terminal. The laser engraver used for this project was the MonPort laser, and the Light Burn software was used to operate it. If you are interested in replicating this aspect of the project, you can find a link in the description for more information.

Wiring the Connections

Wiring the connections for the ChatGPT terminal is relatively easy. You will need to connect a USB adapter for the PS/2-style keyboard and the OLED display to your ESP32 development board. The exact wiring configuration may vary depending on whether your OLED display uses the SPI or I²C communication protocol. However, the necessary changes in the code are straightforward and can be found in the provided resources. If you are unsure about the wiring connections, refer to the description for a detailed guide.

Overview of the Code Flow

The code for the ChatGPT terminal follows a simple flow. The system constantly waits for keyboard input from the user. If the input is part of a chat message, it is saved into a messages array. However, if the input is a command key like Shift or Enter, the appropriate action is taken. When the user submits a message by pressing Enter, an API call is made to the ChatGPT API to retrieve a response. The response is then parsed by the code, and the Relevant information is saved in the messages array. Finally, the messages are displayed on the OLED display word by word, mimicking the interface of a web-Based ChatGPT terminal. The user can use the up and down arrows to scroll through the response.

Setting up the ChatGPT API

To link the code with your WiFi network and OpenAI API secret key, you will need to make changes in the credentials.h file. In this file, you can configure the SSID and password for your WiFi network and obtain an OpenAI private key. If you do not have a ChatGPT API key yet, a video tutorial is provided in the description that explains how to obtain one easily. The code for the project, along with the necessary libraries, is available in the provided resources.

Conclusion

Building a ChatGPT terminal using an Arduino-compatible ESP32, a PS/2 style keyboard, and an OLED display is an exciting project that allows you to integrate the power of ChatGPT into your own Arduino projects. By exploring AI edge applications with the Arduino ecosystem, you can prototype and experiment with the possibilities of embedding intelligence into hardware devices. Whether you are a novice programmer or experienced in Arduino development, this project offers a great opportunity to learn and Create something innovative.

Highlights

• Integrate the power of ChatGPT into your Arduino projects
• Create a standalone ChatGPT terminal using an ESP32, PS/2 keyboard, and OLED display
• Explore the potential of AI edge applications in the physical world
• Utilize the Arduino ecosystem for fast and affordable prototyping
• Enhance the project with a laser-engraved faceplate for aesthetic appeal
• Connect the components and configure the code for seamless operation
• Retrieve responses from the ChatGPT API and display them on the OLED display
• Customize the system message to steer the response from ChatGPT
• Obtain the necessary resources and libraries to get started quickly and easily

FAQ

Q: Can I use a different microcontroller development board for this project?

A: Yes, while the FeatherS2 ESP32 is recommended, any ESP8266 board should work as well.

Q: Can I use a USB keyboard instead of a PS/2 style keyboard?

A: No, a PS/2 style keyboard is required for this project due to the available libraries for reading key presses.

Q: Can I use a different display with a higher resolution?

A: Yes, the project can be adapted to work with displays of various resolutions. However, larger displays tend to be more expensive.

Q: Do I need to have prior programming experience to build this project?

A: While some programming knowledge is beneficial, the project is designed to be beginner-friendly. Investing in some good training resources can help novice programmers get up and running quickly.

Q: Where can I get the necessary code and resources for this project?

A: The full code, along with additional resources and libraries, can be found in the provided link in the description.