chagall

joined 1 year ago
[–] chagall@lemmy.world 32 points 1 month ago

This was poorly executed. The National Park Service twitter account does jokes well.

[–] chagall@lemmy.world 3 points 1 month ago (3 children)

You should ask @brucethemoose@lemmy.world. He seems to know all about this stuff.

 

I'm not the developer, but I thought I'd share this with the community. A pretty cool tool which reads Lidarr data and asks Spotify's API to return artist recommendations based on that data.

[–] chagall@lemmy.world 2 points 3 months ago (1 children)

Open WebUI now has a docker environment variable so you can, by default, turn off the login page. You just declare it when you’re spinning up the container and you’re good to go.

[–] chagall@lemmy.world 3 points 3 months ago

That's really smart. I just found out about fabric yesterday and it is helping me with things like what you stated. Prompt engineering is a huge thing.

[–] chagall@lemmy.world 12 points 3 months ago (1 children)

I'm sorry if I offended. I can't code or understand existing code and have always felt that technical people code. I guess I should expand my definition. Again, sorry that my words felt like a punch in the gut... wasn't my intention at all.

[–] chagall@lemmy.world 6 points 3 months ago (3 children)

I use my phone all the time, but I just use a wireguard VPN to tunnel into my home container of Open WebUI. Then I can interact with my desktop machine using a NVIDIA gpu. I'm currently testing mistral-nemo. It's pretty great but it gets a bit verbose sometimes.

[–] chagall@lemmy.world 41 points 3 months ago (6 children)

This made me smile. Thank you. The grass is always greener and I sometimes daydream of working in IT instead of healthcare. Maybe someday.

[–] chagall@lemmy.world 6 points 3 months ago (2 children)

It's so great that there is so much ongoing development of these types of tools out there. I'm currently using openweb ui as my GUI but I'll give your suggestion a try next week. I haven't figured out a use case for stable diffusion except for creating new content for the shitposting community on lemmy lol. But if you have any ideas, please let me know... I'd love to test it out if I have a good use case.

[–] chagall@lemmy.world 11 points 3 months ago* (last edited 3 months ago) (1 children)

Yeah, I have an NVDIA GPU and it is magic. The best part is when you are using Ollama, open a second terminal window and enter the command, watch -n 0.5 nvidia-smi and you can see your GPU usage go up and down in real-time as you ask the GPT questions. Pretty cool.

Hopefully they get the ARC folks up and running soon.

 

I don't consider myself very technical. I've never taken a computer science course and don't know python. I've learned some things like Linux, the command line, docker and networking/pfSense because I value my privacy. My point is that anyone can do this, even if you aren't technical.

I tried both LM Studio and Ollama. I prefer Ollama. Then you download models and use them to have your own private, personal GPT. I access it both on my local machine through the command line but I also installed Open WebUI in a docker container so I can access it on any device on my local network (I don't expose services to the internet).

Having a private ai/gpt is pretty cool. You can download and test new models. And it is private. Yes, there are ethical concerns about how the model got the training. I'm not minimizing those concerns. But if you want your own AI/GPT assistant, give it a try. I set it up in a couple of hours, and as I said... I'm not even that technical.

[–] chagall@lemmy.world 2 points 3 months ago (1 children)

Got it. Thanks. I'll try that. It won't wipe my existing data, right?

[–] chagall@lemmy.world 2 points 3 months ago (4 children)

I don't do anything special. When I connect the device to my machine by USB, it is recognized and mounts itself. Once that happens, it becomes connectable via CLI and GUI. Very much like what happens in a windows or mac environment.

 

I have a Qnap DAS. It is set up in a raid5 configuration. The problem is that each time I reboot my machine (ubuntu 24.04 LTS), the path of the DAS will auto-increment up by one.

For example the path will automatically go from media/raid57/medialib to media/raid58/medialib. That means I need to manually redo all file paths and then re-scan my entire media library for Jellyfin, each time I reboot my machine (which is like 2-3 times a month).

It is getting pretty annoying and I'm wondering if someone knows why this happens and what I can do to fix it.

[–] chagall@lemmy.world 6 points 5 months ago* (last edited 5 months ago) (1 children)

Have you looked at snapcast? It's one of the tools I'm going to evaluate for a similar use case. I'm not sure if it works with Plex OOTB but it the docs say it supports UPnP. Snapcast is actively maintained so you can just create an issue on github and see how they reply.

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submitted 5 months ago* (last edited 5 months ago) by chagall@lemmy.world to c/selfhosted@lemmy.world
 

I’m thinking something similar to Yattee / Invidious.

iOS is preferable.

 

I’m curious what plugins people like the most and find the most useful.

 

Any free options available?

 

Alternative link: https://archive.is/qgEzK

 

I tried fre:ac but got an error from cddb when trying to connect to the database. Looking to rip to both FLAC and to Opus. Ideally with the latest codec updates.

Any recommendations?

 
 

I currently pay for Netflix 4K. But I want to watch the content in 4K on my laptop and Netflix won't let me do that since I'm using Linux/Firefox.

I also have a Jellyfin server and rip my BluRays, so I'm used to ripping my own media to stream on my local network. I'd like to rip some of the newer "planet earth" style documentaries from Netflix which is presented in really beautiful 4k video. Is there a guide somewhere which will walk me though how to do this? I imagine I'll have to buy some additional gear to do this, but I'm not averse to that.

If anyone can point me the right direction, I'd be grateful.

 

Running Docker-ized qBittorrent v4.6.0. 64-bit on Ubuntu 23.10. Seeding 29 torrents, Leeching 0 torrents.

According to Glances, it's using 18 Gigs of memory which seems high. I just wonder if maybe I have a setting somewhere that is problematic? Or is this typical behavior?

0
submitted 1 year ago* (last edited 1 year ago) by chagall@lemmy.world to c/piracy@lemmy.dbzer0.com
 

I downloaded a "Linux ISO" which came as a series of *.opus files. My iPhone doesn't recognize them, so I was wondering if you guys might recommend a program to convert them to *.mp3 files.

Ideally a mac or linux based program with a gui. Any suggestions?

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