The program can show multiple lines of lyrics, and there is an argument to choose the number of them !
I also improved the lyrics parsing method, and forced the app to use the ANSI colors from the terminal.
I think now I will change the metadata fetching to MPRIS via Dbus instead of playerctl, and will do that in a separate file for better organization when I will port to windows
I knew it would be a small project, but this is reaaaally fast !
In this small update, I added a way to actually parse the lyrics, and show them in the TUI ! For now, there is just one line of lyric, but I will add options to add more lines.
I just need to add customization options, fix some errors, maybe find a way to make this run on windows !
Parole is a TUI tool made for your rice ! It will show the lyrics of the song you are currently listening, using Playerctl :)
I use Subprocess to get the playerctl metadata, then I use Textual to show everything.
For now, it can just get the lyrics and format them in a dict. Not very beautiful for now…
Thanks for the reviews ! I’m already starting to try to improve all I can improve !
This is a small update, but here is the changelog !
If you have any suggestion, comment or contact me on Slack !
These changes aren’t deployed yet, but it will be coming in the next few days
!!!!
Yipeee
I almost finished everything ! I added clues, refined the generation system, and hosted on Vercel (I also got a lot of bugs, but without bugs you cant make a good project).
I alsooo learned to make responsive things, and it looks okay if you dont try it on a very smol phone (I hope so, at least).
Now I just do some testiiing and it’s time to ship 
Try the website out at noomo.dino.icu
I almost finished everything for the game !
I made most of the website. There is now a Game page (like, the most important thing of the whole project) and a Win page ! I also learned a lot about TS and HTML while making this (because this is kinda my first website).
It’s almost ready, I just need to do some adjustments to the layout of the website, rebalance the game and fix some generation bugs
I did a looot of things.
The backy backend :
I configured my Nest server (and I broke it 3 times) ! Now, it should work, but sorry to the Nest team for this :(. I also got some problems with the dockerimage (like, 19gb for a single image ?).
I improved the AI too ! It will now lean towards longer words, to make it easier to guess, and will exclude non-latin characters (sorry japanese people, but I had to).
I also learned sql (ngl i feel like a dumbass for not understanding this) and made a db ! It will store most popular sentences and maybe daily challenges ?
The frontennnnd :
Huuummm I didn’t do much but there is a header on top now ig
[DEVLOG 2] I made the main page ! The buttons dont do anything now, but it’s my first time using HTML… I also done some fixes on the API and I got a Nest server ! Already tested it a bit and it should work if I only host the api on it. Anyway there is still a lot of work to do
[DEVLOG #1] I’m building Noomo, a game about predicting what an LLM could say. You input a simple sentence, then you need to tell the most “logical” words, generated by a really small llm (currently, Qwen2.5-0.5B). For now, I got a small API backend that can be called to generate the predictions, and it’s running on my machine. I still need to finetune the model so that the game is more interesting, then I need to develop the frontend and host all of that !
DEVLOG 6 - I added OpenAI detection to my AI watermark detector library ! So uhm I was tired with Videoseal, so I just decided to do the openai implementation instead. It was pretty simple, and I tried to do it without using the OpenAI sdk because i didn’t wanted to add yet another dependency. I also added a config to pass to the detector, and a way to ignore a detector.
DEVLOG 5 - It’s been a looong time, it’s so hard… I tried to implement meta videoseal, and after countless of tries, I managed to export the detector to an ONNX model, that I could use in the library. The only problem is that I don’t know a lot about machine learning, so it doesn’t work at all. The JS script made to use the model just gives random results, often giving more score to non-ai images than to watermarked images. If anyone knows how to help with this, I would love a biiit of help. The Github repo is opened to issues and all the code is Open Source :). (Also I did the Jame Gam it was really fun :3)
Devlog 4 - Very tiny update :). I don’t have my main computer, so I can’t do heavy things, which is what I need to do right now. But I used Blob objects instead of paths so that the library is compatible with bot Node and web browsers. I also tried some things with the openai detector, but the public api needs an API key and the private one has a turnstile challenge to solve. If anyone has tips to solve that, I would be really happy to hear them ! I also experimented with pytorch export to ONNX, but I don’t have the right pc right now (not committed yet). So yeah very smoll update, thanks for reading till the end.
DEVLOG 3 - I made a logo for my AI watermark detection tool ! Also, I fixed a bug that made C2PA flag human made c2pa content as ai content.
Devlog 2 - I made the base implémentation for image and video detection !When sending an image or a video, the system will pass the file against each available detector (for now, only SynthID), and return a ImageAnalysisResult object (or a VideoAnalysisResult) with every result, and some methods to easily manage the data.I also created a base README (on mobile, without hackatime), and a ROADMAP with what I plan to implement.Here is the list of detectors I will implement, but feel free to suggest some other watermarks to implement ! C2PA (done), OpenAI verificator (in progress), Stable signature, Meta Content Seal (Audiodeal, Videoseal, Textdeal, Imageseal), Elevenlabs synthid (not sure), Claude Watermark (when public). That’s it for now !
[FIRST DEVLOG] Building my first JS project, Slover !
Slover is a tool to unify every major AI watermarking detection tool (c2pa, openai verificator, synthid-text..) in an easy to use JS library.
For now, there is a start of c2pa detector implementation, but I plan on adding a lot more of tools !
Also, I plan on making a browser extension, and a website to use it, but users will be free to integrate it wherever they want.
