oatmeal
youtube-cue
oatmeal | youtube-cue | |
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4 | 3 | |
393 | 14 | |
- | - | |
9.5 | 6.4 | |
7 days ago | 5 months ago | |
Rust | JavaScript | |
MIT License | - |
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oatmeal
- FLaNK Stack 26 February 2024
- Oatmeal: Terminal UI to chat with large language models
- Oatmeal – terminal UI to chat with large language models
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Ask HN: What apps have you created for your own use?
With the news every week having something related to LLMs, I wanted to jump in and see if it’s something I could fit in to my current workflows. I really like the chat experience that coding assistant tools like Continue.dev have, but I prefer something terminal based. Small bursts over a month led to Oatmeal: https://github.com/dustinblackman/oatmeal
youtube-cue
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Ask HN: What apps have you created for your own use?
> CLI: I wanted to download songs from youtube, but they were often stitched as complete albums - so I wrote a youtube-cue generator that generates cuesheets that can then be used to split and tag the yt-dlp downloaded audio file. (https://github.com/captn3m0/youtube-cue)
Thanks for this! I need to do some testing, this might automate the last manual step of my own script for converting YT mixes into distinct tracks. The problem I faced is that often the timestamps are not in the description, but instead in a comment, sometimes not even the pinned/top voted comment. That is why I paste it in via stdin for now.
As this fits the thread topic, a short description of this script. I enjoy YT mixes and wanted to listen to them in my car. I can use an USB stick with media files and playlists which are displayed decently by the infotainment system. I wrote a script that takes in a YT URL (or anything supported by yt-dlp), downloads & converts it to mp3, splits the mp3 file based on a list of timestamps, recognizes (tries to anyway) the songs via SongRec [0], tags & names the files correctly and finally generates an M3U playlist in the format recognized by my car. I use song recognition instead of parsing out the names from the timestamped list as the format of Artist - Title is nearly always slightly different. It was easier to use SongRec instead and get everything I need for tagging with >90% hit rate.
The heavy lifting is done by calling out to yt-dlp, ffmpeg and SongRec. I just glued them together with Python. I like your approach of a do one thing well and might add youtube-cue to the toolset.
[0] https://github.com/marin-m/SongRec
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Beets is the media library management system for obsessive music geeks
Beets is amazing and comes with great defaults. I wrote code recently to generate CUE sheets from YouTube mixes[0] and beet imports it nicely and easily.
[0]: https://github.com/captn3m0/youtube-cue There is a bash snippet in readme to show the Beets integration.
What are some alternatives?
RSS-Link-Database - Bookmarked archived links
picard - A cross-platform music tagger powered by the MusicBrainz database. Picard organizes your music collection by updating your tags, renaming your files, and sorting them into a folder structure, exactly the way you want it.
pq - a command-line Protobuf parser with Kafka support and JSON output
stag - public domain utf8 curses based audio file tagger
flowcus.bar - Maximize productivity and manage time effectively with flowcus macOS app featuring a customizable progress bar, screen video capture, and personalized alert sounds for focused and efficient work sessions
full-text-tabs-forever - Full text search all your browsing history
Internet-Places-Database - Database of Internet places. Mostly domains
BeetsPluginStructuredCommen
srgn - A code surgeon for precise text and code transplantation. A marriage of `tr`/`sed`, `rg` and `tree-sitter`.
stag - STag: A Stable Fiducial Marker System
translate_onhover - Browser translation extension
BeetsPluginStructuredComments