AutoBerry Pi: Merging OpenAI, Autogen, and Raspberry Pi for AI-Powered Coding

AutoBerry Pi emerged from a need to continue AI work and coding while reducing eye strain from excessive screen time. Inspired by OpenAI's demonstration of voice-controlled AI, this project aims to create a device that can handle coding, testing, and debugging through voice commands, minimizing the need for screen interaction. The goal is to develop a simple, personal, and minimalistic solution using a Raspberry Pi, e-ink display, and AI-powered automation.

The core components of AutoBerry Pi include: - Raspberry Pi Zero 2 W - 2.13-inch E-Ink Display Hat - UPS Power Hat Board (Note: Consider using Pisugar S instead for better fit) - MicroSD Card Assemble these components carefully, ensuring proper connections between the Raspberry Pi, e-ink display, and power supply. The compact nature of these components allows for a portable and energy-efficient device.

Begin by installing Raspberry Pi OS Lite on your microSD card. Once booted, update the system and install essential tools: ```bash sudo apt update && sudo apt upgrade -y sudo apt install git ``` Enable SSH for remote access: ```bash sudo raspi-config # Navigate to 'Interfacing Options' -> 'SSH' -> 'Yes' sudo reboot ``` Create a new user and grant sudo privileges for better security: ```bash sudo adduser newusername sudo usermod -aG sudo newusername ``` From this point, connect to your Raspberry Pi via SSH for all subsequent operations.

Install Autogen and its dependencies in a virtual environment: ```bash python3 -m venv autogen_env source autogen_env/bin/activate pip install pyautogen python-dotenv ``` Clone the AutoBerry Pi repository and configure your OpenAI API key: ```bash git clone https://github.com/peregrinAI-tech/autoBerryPi cd autoBerryPi nano .env # Add your OpenAI API key here ``` Test the Autogen setup by running the single agent coder script: ```bash python singleAgentCoder.py ``` This script sets up a basic Autogen agent capable of generating Python code and interacting with the Raspberry Pi system.

Utilize Autogen to create scripts for various Raspberry Pi tasks. For example, you can create a WiFi configuration script: 1. Run `singleAgentCoder.py` 2. Prompt the agent to create a script that reads WiFi credentials from a file and updates the wpa_supplicant.conf file. 3. The agent will generate a Python script (`wificonf.py`) that automates WiFi configuration. This demonstrates how Autogen can be used to create practical, system-level scripts for the Raspberry Pi, enhancing its automation capabilities.

To integrate the e-ink display: 1. Enable SPI interface: `sudo raspi-config` (Interfacing Options -> SPI -> Yes) 2. Use Autogen to install necessary libraries for the WaveShare 2.13" E-Ink display. 3. Test the display using the provided example script. 4. Create a custom script (`display_in_waveshare2_fixed.py`) that handles text display and pagination on the e-ink screen. This 'Operator' script allows other Autogen agents to communicate their actions and outputs visually, providing a user-friendly interface for the AutoBerry Pi system.

AutoBerry Pi represents a step towards creating an AI-powered, screen-free coding assistant. Future developments may include: - Voice interaction capabilities - More complex AI agent interactions - Improved error handling and context management The project demonstrates the potential of combining AI, single-board computers, and e-ink displays to create innovative, eye-friendly development tools. As we continue to refine AutoBerry Pi, we invite the community to explore and contribute to this open-source initiative, pushing the boundaries of AI-assisted programming and automation.