I'm not saying to delete, I'm saying for the file system to save space by something similar to deduping.
If I understand correctly, deduping works by using the same data blocks for similar files, so there's no actual data loss.
pe1uca
Well, seems they already had the vaping sensors implemented and they're just announcing the notifications implementation... How hard is to just build am android app that displays a list and a popup?
Nice, that's mostly what I need!
The only thing missing now are the parameters needed to launch with the correct workout
I don't know why it needs internet access and why the first thing it tries to do is connect to an IP TV site, and because it can't it crashes.
Can't trust that, hehe
Text to speech is what piper is doing.
What I'm looking for is called voice changer since I want to change a voice which already read something.
That's exactly what I want: "the thing in the Darth Vader halloween masks" but for linux, preferably via CLI to ingest audio files and be able to configure it to change the voice as I want, not only Darth Vader.
I don't want to manage piper voices, I can handle that directly in my file system as I only have a few.
The issue is none of the ones I've found are good for me, so what I need is something to change the voice once it has been generated by piper.
I haven't completely looked into creating a model for piper, but just having to deal with a dataset is not something I look forward to, like gathering the data and all of what this implies.
So, I'm thinking it's easier to take an existing model and make adjustments to fit a bit better on what I would like to hear constantly.
Check the most upvoted answer and then look into tubearchivist which can take your yt-dpl parameters and URLs to download the videos plus process them to have a better index of them.
Well, it's a bit of a pipeline, I use a custom project to have an API to be able to send files or urls to summarize videos.
With yt-dlp I can get the video and transcribe it with fast whisper (https://github.com/SYSTRAN/faster-whisper), then the transcription is sent to the LLM to actually make the summary.
I've been meaning to publish the code, but it's embedded in a personal project, so I need to take the time to isolate it '^_^
I've used it to summarize long articles, news posts, or videos when the title/thumbnail looks interesting but I'm not sure if it's worth the 10+ minutes to read/watch.
There are other solutions, like a dedicated summarizer, but I've investigated into them and they only extract exact quotes from the original text, an LLM can also paraphrase making the summary a bit more informative IMO.
(For example, one article mentioned a quote from an expert talking about a company, the summarizer only extracted the quote and the flow of the summary made me believe the company said it, but the LLM properly stated the quote came from the expert)
This project https://github.com/goniszewski/grimoire has in it's road map a way to connect to an AI to summarize the bookmarks you make and generate at 3 tags.
I've seen the code, I don't remember what the exact status of the integration.
Also I have a few models dedicated for coding, so I've also asked a few pieces of code and configurations to just get started on a project, nothing too complicated.
A browser is also an app, it's not embedded into an OS.
In some it comes preinstalled, which is the case for safari in ios.
Also, some browsers just happen to include a PDF reader, but not all had or currently have.
As @[email protected] mentioned, Android is meant to be lightweight so it can run in several configurations of hardware.
Most OEM do include a browser in Android, this usually being Chrome.
GrapheneOS is basically just Android (in this context) so it doesn't include a browser or a PDF reader, but both are available as a dedicated app from the GrapheneOS team or with any other app you want, for example I use readera, or sometimes Firefox.
I can't give you the technical explanation, but it works.
My Caddyfile only something like this
and everything else has worked properly cloning via ssh with
[email protected]:pe1uca/my_repo.git
My guess is git only needs the host to resolve the IP and then connects to the port directly.