!! Work is on route !!

Talk and learn with AI: Seamless interactions

Overview

This project enables seamless interaction with AI through Docker and ROS2. The setup includes developer mode, allowing developers to attach directly to running Docker containers for debugging, testing, and configuration without rebuilding.

Features

• Developer Mode: Attach to running Docker containers.
• Seamless AI Interactions: Run individual nodes and launch files.
• Log Inspection & File Modification: Directly access and modify container files.
• ROS2 Integration: Easily build and launch ROS2 packages.

Prerequisites

Ensure your system meets the following requirements:

• Ubuntu 22.04 or higher
• Docker and Docker Compose
• ROS2 (tested on Iron)

Dependencies Installation Guide

1. Install Docker on Ubuntu 22.04

Follow this guide to install Docker:
How to Install and Use Docker on Ubuntu 22.04

2. Perform Post-Installation Steps for Docker

Ensure you complete the post-installation steps:
Post-Installation Steps for Docker on Linux

3. Install NVIDIA Container Toolkit (For GPU Users)

If you're using a GPU, install the NVIDIA Container Toolkit:
NVIDIA Container Toolkit Installation Guide

4. Install Docker Compose on Ubuntu 22.04

Set up Docker Compose using this guide:
How to Install and Use Docker Compose on Ubuntu 22.04

Developer Mode Setup

Enable developer mode by setting the environment variable:

export DEVELOPER=True

Start Docker in Developer Mode

Run the following command to start the Docker container and attach it automatically:

./start_docker.sh --developer=true

This allows you to:

• Run individual ROS2 nodes or launch files.
• Access and modify container files.
• Inspect logs and diagnose issues.
• Test configurations without rebuilding.

Running the ROS2 Launch File

To build and launch the ROS2 package:

colcon build && source install/setup.bash && ros2 launch src/launch/conversation_launch.py

Work in Progress

This project is actively being developed. Stay tuned for updates!

Speak node: ChatTTS

With GPU access working; python script though

Think node: ollama with GPU (Pending: OpenAI, XAI, Deepseek integrations)

A minimal code structure is uploaded

Listen node: whisper-streaming with GPU dockerfile

A minimal code structure is uploaded

Next todo: dockercompose multiple container integrations