I’ve tried quite a few after leaving Nova a few years ago and have settled on Lawnchair. It seems to be the most stable and is under active development.
I’ve tried quite a few after leaving Nova a few years ago and have settled on Lawnchair. It seems to be the most stable and is under active development.
I’d recommend checking out Gadgetbridge. It is an open source app, with no network permission requirements, that replaces the OEM app for a large number of watches. I’m running an Amazfit GTS 4 with it and it has been almost flawless.
I see Garmins are being recommended but if you are looking for something cheaper, I’ve been extremely happy with my Amazfit watch. It has pretty much all the same functions as the Garmins but at a fraction of the cost, and is fully compatible with Gadgetbridge, so all your data is stored locally.
What is the structure of the Nearby URL when manually entering coordinates?
Ugreen do this type of adapter
I’m not wanting to enter the giveaway but just wanted to say what a lovely thing to do for the community.
Happy Holidays everyone
Since the article title doesn’t mention it, for those wondering, this is isolated to the USA.
Happy to help
I’ve added my Docker Compose files in a reply to my original comment which may help make things a little easier for you when you get to setting it up yourself.
I’ve replied to my own original comment for better visibility if you want to check that.
For those asking, here are my Docker Compose files for Piper (text-to-speech), Whisper (speech-to-text), and OpenWakeWord (allows the use of a wake word with things like the Atom Echo)
version: '3.3'
services:
wyoming-piper:
container_name: wyoming-piper
image: 'rhasspy/wyoming-piper'
ports:
- "10200:10200"
volumes:
- '/docker/containers/wyoming-piper/data:/data'
command: [ "--voice", "en_US-danny-low" ]
restart: always
Note: The voice can be changed depending on your preference. Listen to the possible options here.
version: '3.3'
services:
wyoming-whisper:
container_name: wyoming-whisper
image: 'rhasspy/wyoming-whisper'
ports:
- "10300:10300"
volumes:
- '/docker/containers/wyoming-whisper/data:/data'
command: [ "--model", "base", "--language", "en" ]
restart: always
Note: The model can be changed depending on the power of your system. See possible options here.
version: '3.3'
services:
wyoming-openwakeword:
container_name: wyoming-openwakeword
image: 'rhasspy/wyoming-openwakeword'
ports:
- "10400:10400"
volumes:
- '/docker/containers/wyoming-openwakeword/data:/data'
- '/docker/containers/wyoming-openwakeword/custom:/custom'
command: --preload-model 'ok_nabu' --custom-model-dir /custom
restart: always
Note: Even though the model for the wake command is set in the Compose file, this can easily be changed in your HA Assist settings.
After they are up and running, you can just manually add the Integrations to HA which will create the Wyoming Protocol Integration. Then go back to your Assist settings and they should be available in the relevant dropdowns.
I hope this helps
No problem. Yeah I found the documentation a bit of a maze as well.
You need to install the Assist Pipeline.
It is fairly straight forward if you can use the add-on manager, but is a little different in docker and there is very little official documentation. If you are using docker just let me know and I’ll share my setup.
Yeah I’d like to know this as well as I use DarkReader on all my devices.
I read in the past that it was hijacking page links but it transpired that people were downloading clones from unofficial sources.
I’ve moved to Darktable on desktop but am still trying to find a good mobile alternative as well.
Ah OK, thanks for the info
This looks like a great tool, thank you. One question, does it only allow manual transfers or could it be set up to sync a folder between two devices?
This is beautiful! I checked out the artists gallery in the link and their other pieces are just as fantastic! Thanks for sharing.
Yeah, just use the Beta, it’s extremely stable. Don’t get it from the Play Store though, as you’ve seen it hasn’t been updated in years. Just get it from their GitHub.