I use rclone and duplicati depending on the needs of the backup.

For long term I use duplicati, it has a GUI and you can upload it to several places (mines are spread between e2 and drive).
You configure the backend, password for encryption, schedule, and version retention.

rclone, with the crypt submodule, you use it to mount your backups as am external drive, so you need to manually handle the actual copy of the data into it, plus versioning and retention.

No, it doesn’t suit the needs of the country, it suits the needs of the political party of the president.

Everyone with half a brain agrees this is bad and will make any judge bound by their promises in campaign (ha, more like the promises to their party and promoter) and allow any one to do the job of someone that should have good qualifications.

I can’t give you the technical explanation, but it works.
My Caddyfile only something like this

@forgejo host forgejo.pe1uca
handle @forgejo {
	reverse_proxy :8000
}

and everything else has worked properly cloning via ssh with git@forgejo.pe1uca:pe1uca/my_repo.git

My guess is git only needs the host to resolve the IP and then connects to the port directly.

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.

This is one of the exceptions.
This reform will make judges be able to be voted by the people, and all the world knows the implications of that in Mexico’s elections.
It also removes a lot of the requirements to the candidates.

Currently there are cases of people trying to get judicial protection against laws the executive is pushing which the legislature blindly approved since they were put in there by the ruling party. Now imagine if that ruling party was also deep into the judicial system, the people wouldn’t have anyone to turn to ask for help.

And that’s what investors are concerned about, investing in Mexico and losing everything because there’s no one to stop what the president says.

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.