ESP32 ChatGPT Implementation

Welcome to the ESP32 ChatGPT Implementation project! This project enables you to create an ESP32 device that interacts with the ChatGPT server, delivering an intuitive touch interface experience on an LCD screen. Dive into the world of AI communication through a user-friendly setup.

Warning: Messy codebase ahead, proceed with caution! :)

Features

• Utilizes ESP32 and LCD for a tactile ChatGPT experience.
• Customizable configurations via configs.h.
• Seamless interactions through a touch-enabled interface.

Hardware Requirements

• ESP32 development board (I used Waveshare ESP32 S3-Pico).
• LCD display (I am currently using a 2.4inch touch TFT display with driver ILI9341).

LCD (2.4 inch TFT touch ILI9341)

ESP32 S3-PICO

Schematic

Follow this schematic to wire up the LCD with the ESP32.

Setup Instructions

1. Clone the Repository:

   git clone https://github.com/kevinjacb/esp32-chatgpt_llama.git
   cd esp32-chatgpt_llama

2. Configure configs.h: Modify the configs.h file according to your hardware setup:

   • Adjust LCD parameters (width, height, pins).
   • Set up Wi-Fi SSID and password.
   • Define ChatGPT server details.

3. Build and Flash: Use ESP-IDF tools to build and flash the project to your ESP32 device. (for Windows)

   • idf.py build
   • idf.py -p COMX flash
   • idf.py monitor

4. Interacting with the Device: Once flashed and all connections are done, the system is ready for use. Queries can be entered using the touchscreen.

Folder Structure

• main/: Contains project source files.
• main/ui/: Includes UI files generated by Squareline Studio and modified to fit our use.

Screenshots / Visuals

YouTube Video

https://www.youtube.com/shorts/8u8_6w0_Zd8

Click the link above to watch the YouTube video demonstrating the project.

Softwares used:

• Squareline Studio