Home Assistant
add-on that uses wyoming-faster-whisper
for speech-to-text system using the wyoming
protocol on NVIDIA Jetson devices. Thank you to @ms1design for contributing these Home Assistant & Wyoming containers!
- Works well with
home-assistant-core
container on Jetson devices as well as Home Assistant hosted on different hosts -
GPU
accelerated on Jetson Devices thanks tofaster-whisper
container
Requires Home Assistant
2023.9
or later.
If you want to use docker compose
to run Home Assistant Core Voice Assistant Pipeline on a Jetson device with cuda
enabled, you can find a full example docker-compose.yaml
here.
name: home-assistant-jetson
version: "3.9"
services:
homeassistant:
image: dustynv/homeassistant-core:latest-r36.2.0
restart: unless-stopped
init: false
privileged: true
network_mode: host
container_name: homeassistant
hostname: homeassistant
ports:
- "8123:8123"
volumes:
- ha-config:/config
- /etc/localtime:/etc/localtime:ro
- /etc/timezone:/etc/timezone:ro
whisper:
image: dustynv/wyoming-whisper:latest-r36.2.0
restart: unless-stopped
runtime: nvidia
network_mode: host
container_name: faster-whisper
hostname: faster-whisper
init: false
ports:
- "10300:10300/tcp"
volumes:
- ha-whisper-models:/share/whisper
- ha-whisper-data:/data
- /etc/localtime:/etc/localtime:ro
- /etc/timezone:/etc/timezone:ro
volumes:
ha-config:
ha-whisper-models:
ha-whisper-data:
Variable | Type | Default | Description |
---|---|---|---|
WHISPER_PORT |
str |
10300 |
Port number to use on host |
WHISPER_MODEL |
str |
tiny-int8 |
Name of faster-whisper model to use from supported models list |
WHISPER_BEAM_SIZE |
int |
1 |
Beam size |
WHISPER_LANGUAGE |
str |
en |
Default language to set for transcription from supported languages list |
WHISPER_DEBUG |
bool |
true |
Log DEBUG messages |
Read more how to configure wyoming-whisper
in the official documentation:
- Testing
Got questions? You have several options to get them answered:
- The Home Assistant Discord Chat Server.
- The Home Assistant Community Forum.
- Join the Reddit subreddit in
/r/homeassistant
- In case you've found an bug in Home Assistant, please open an issue on our GitHub.
- The NVIDIA Jetson AI Lab tutorials section.
- The Jetson AI Lab - Home Assistant Integration thread on NVIDIA's Developers Forum.
- In case you've found an bug in
jetson-containers
, please open an issue on our GitHub.
Note
This project was created by Jetson AI Lab Research Group.
CONTAINERS
wyoming-whisper:latest |
|
---|---|
Aliases | wyoming-whisper |
Requires | L4T ['>=34.1.0'] |
Dependencies | build-essential homeassistant-base cuda cudnn python:3.11 cmake ctranslate2 huggingface_hub numpy faster-whisper |
Dockerfile | Dockerfile |
Images | dustynv/wyoming-whisper:latest-r36.2.0 (2024-04-30, 5.2GB) |
Notes | The faster-whisper using the wyoming protocol for usage with Home Assistant. Based on https://github.com/home-assistant/addons/blob/master/whisper/Dockerfile |
CONTAINER IMAGES
Repository/Tag | Date | Arch | Size |
---|---|---|---|
dustynv/wyoming-whisper:latest-r36.2.0 |
2024-04-30 |
arm64 |
5.2GB |
dustynv/wyoming-whisper:r36.2.0 |
2024-04-24 |
arm64 |
5.2GB |
Container images are compatible with other minor versions of JetPack/L4T:
• L4T R32.7 containers can run on other versions of L4T R32.7 (JetPack 4.6+)
• L4T R35.x containers can run on other versions of L4T R35.x (JetPack 5.1+)
RUN CONTAINER
To start the container, you can use jetson-containers run
and autotag
, or manually put together a docker run
command:
# automatically pull or build a compatible container image
jetson-containers run $(autotag wyoming-whisper)
# or explicitly specify one of the container images above
jetson-containers run dustynv/wyoming-whisper:latest-r36.2.0
# or if using 'docker run' (specify image and mounts/ect)
sudo docker run --runtime nvidia -it --rm --network=host dustynv/wyoming-whisper:latest-r36.2.0
jetson-containers run
forwards arguments todocker run
with some defaults added (like--runtime nvidia
, mounts a/data
cache, and detects devices)
autotag
finds a container image that's compatible with your version of JetPack/L4T - either locally, pulled from a registry, or by building it.
To mount your own directories into the container, use the -v
or --volume
flags:
jetson-containers run -v /path/on/host:/path/in/container $(autotag wyoming-whisper)
To launch the container running a command, as opposed to an interactive shell:
jetson-containers run $(autotag wyoming-whisper) my_app --abc xyz
You can pass any options to it that you would to docker run
, and it'll print out the full command that it constructs before executing it.
BUILD CONTAINER
If you use autotag
as shown above, it'll ask to build the container for you if needed. To manually build it, first do the system setup, then run:
jetson-containers build wyoming-whisper
The dependencies from above will be built into the container, and it'll be tested during. Run it with --help
for build options.