aiavatar-pi 0.1.1

⚡️Ultra-low latency AI companion on edge devices.🍓 Talk to her anywhere, anytime.

aiavatar-pi

⚡️Ultra-low latency AI companion on edge devices.🍓 Talk to her anywhere, anytime.

aiavatar-pi connects to an AIAvatarKit server over WebSocket and renders an animated, talking avatar with lip sync on a Raspberry Pi with a small LCD, or on your desktop for development.

✨ Features

• 🍓 Portable AI character - Runs on Raspberry Pi + small SPI LCD, take it anywhere
• ⚡️ Ultra-low latency voice - Sub-second (<1 sec) response time for smooth, natural conversation
• 🥰 Rich avatar expression - Lip sync, auto blink, and video-based motion support
• 🧩 Extensible hardware - Swap displays, audio backends, and wire up GPIO buttons
• 🦞 Agentic - Unlimited extensibility with agentic capabilities, including OpenClaw integration

🏗️ Architecture

AIAvatarClientBase              ← WebSocket, audio I/O, playback control
├── AIAvatarImageClient         ← Face / blink / lip sync / glow state
│   ├── PiImageClient           ← SPI LCD + ALSA (Raspberry Pi)
│   │   └── WhisplayImageClient ← Whisplay hardware preset
│   └── PCImageClient           ← pygame + PyAudio (Desktop)
└── AIAvatarMotionClient        ← Video loop / mouth compositing / glow
    ├── PiMotionClient          ← SPI LCD + ALSA (Raspberry Pi)
    │   └── WhisplayMotionClient← Whisplay hardware preset
    └── PCMotionClient          ← pygame + PyAudio (Desktop)

🚀 Setup

Get started in 3 simple steps.

1. Start your AIAvatarKit server

See the WebSocket quick start to get the server running. Make sure to use --host 0.0.0.0 so the client can reach it over the network.

You'll need:

• WebSocket URL, e.g. ws://192.168.1.1:8000/ws
• Character asset URL, e.g. http://192.168.1.1:8000/static/motionpngtuber/miuna

2. Install

# Raspberry Pi (SPI LCD + ALSA)
sudo apt update && sudo apt install alsa-utils ffmpeg python3-dev build-essential
pip install "aiavatar-pi[pi]"

# PC (desktop, for development)
pip install "aiavatar-pi[pc]"

3. Write your client

Create a script (e.g. run.py) with one of the examples below, then run:

python run.py

🍓 Whisplay — Motion avatar:

import asyncio
from aiavatar_pi.device.whisplay import WhisplayMotionClient

client = WhisplayMotionClient(
    character_url="http://192.168.1.1:8000/static/motionpngtuber/miuna",
    url="ws://192.168.1.1:8000/ws",
    volume=90,
)

@client.button.on_press
def on_press():
    client.toggle_mute()

try:
    asyncio.run(client.start())
except KeyboardInterrupt:
    pass
finally:
    client.cleanup()

🍓 Whisplay — Image avatar:

import asyncio
from aiavatar_pi.device.whisplay import WhisplayImageClient

client = WhisplayImageClient(
    character_url="http://192.168.1.1:8000/static/images",
    url="ws://192.168.1.1:8000/ws",
    volume=90,
)

@client.button.on_press
def on_press():
    client.toggle_mute()

try:
    asyncio.run(client.start())
except KeyboardInterrupt:
    pass
finally:
    client.cleanup()

🍓 Raspberry Pi — Custom hardware:

import asyncio
from aiavatar_pi.device.pi import PiMotionClient
from aiavatar_pi.display.st7789 import ST7789
from aiavatar_pi.button import GPIOButton

client = PiMotionClient(
    character_url="http://192.168.1.1:8000/static/motionpngtuber/miuna",
    url="ws://192.168.1.1:8000/ws",
    lcd=ST7789(width=240, height=320, backlight=80),  # display resolution and brightness
    buttons=[GPIOButton(pin=17)],  # optional, add if you have buttons
    volume=90,
)

try:
    asyncio.run(client.start())
except KeyboardInterrupt:
    pass
finally:
    client.cleanup()

🖥️ PC — Motion avatar (for development):

from aiavatar_pi.device.pc import PCMotionClient

client = PCMotionClient(
    character_url="http://192.168.1.1:8000/static/motionpngtuber/miuna",
    url="ws://192.168.1.1:8000/ws",
    display_width=480,
    display_height=480,
)
client.run()

🖥️ PC — Image avatar (for development):

from aiavatar_pi.device.pc import PCImageClient

client = PCImageClient(
    character_url="http://192.168.1.1:8000/static/images",
    url="ws://192.168.1.1:8000/ws",
    display_width=480,
    display_height=480,
)
client.run()

🎨 Customize

Lip sync tuning:

client = PCMotionClient(
    ...,
    lipsync_config={
        "cutoff_hz": 12.0,       # Higher = faster response (default: 8.0)
        "rms_queue_max": 2,      # Lower = less latency (default: 3)
        "peak_decay": 0.99,      # Lower = faster volume tracking (default: 0.995)
    },
)

Glow effect:

client = PCMotionClient(
    ...,
    glow_config={
        "solid": 3,              # Border width in px
        "corner_radius": 42,     # Rounded corner radius
        "opacity": 1.0,          # 0.0 to 1.0
    },
)

Swap audio backend:

from aiavatar_pi.audio.pyaudio import PyAudioBackend

client = WhisplayMotionClient(
    ...,
    audio_backend=PyAudioBackend(volume=0.8),
)

📋 Key Parameters

Parameter	Default	Description
url	ws://localhost:8000/ws	WebSocket server URL
character_url	None	Base URL for character assets (faces, mouth sprites, video)
api_key	None	Bearer token for authentication
sample_rate	16000	Mic sample rate (Hz)
channels	1	Mic channels
barge_in_enabled	False	Allow interrupting AI speech
volume	100 (Whisplay)	Playback volume (%)
audio_backend	None (auto)	Custom audio backend