therealtakeshi / textpression Goto Github PK
View Code? Open in Web Editor NEWA drop-in JavaScript library to make easy and sharable kinetic typography from any text.
Home Page: https://therealtakeshi.github.io/textpression/
License: MIT License
A drop-in JavaScript library to make easy and sharable kinetic typography from any text.
Home Page: https://therealtakeshi.github.io/textpression/
License: MIT License
Since this is a text thing, it should be applicable to any written language. Sentiment analysis is going to be a problem though, as I would imagine most testing and dev is done in English.
This is marked for GA. I'd like to support multiple languages by GA, or if not then have a solid plan to support them nearafter.
Something's wrong with the promise+callback logic. Need to untangle the chain and fix it, maybe tidy up the logic chain at the same time.
This could be a great way to showcase my threejs learning (and do some fun stuff) by using scenes as backgrounds. Issues would be size of models and textures, but if I'm smart about it, I could do a lot with fairly simple code.
This is a good idea, combining a few of my interests. I like this!
Marked for Alpha, though I'd be happy to even just have 1 scene in and working. I'd like to think about it more during the lead-up to Alpha, though.
This will probably be a longer-term endeavor, but it needs to be in for Alpha (barebones is okay).
Possibly just a mood scale from 0-255 with n buckets between. That way we can use a very simple numeric (o=40
, o=-124
) offset in the URL to modify the mood.
Needless to say, this also involves some level of sentiment analysis to assign a mood, so that's high-priority too. Will be a separate issue.
Pretty simple, it needs more fonts. Google fonts + dafont should do the job.
Put them on S3? Host somewhere? base64 convert and pack locally?
Local should be fine for Alpha, but need a solution for Beta.
This is kind of the secret sauce to the whole mood thing.
I'm sure there's good libs out there, I just haven't done the research. Ideally something that can run locally, not an API, though that's not a dealbreaker since it only needs to run once to find the mood, then user can tweak from there. But local would be better since it'll be dealing with pretty much any kind of text.
Maybe a very light redis install (or firebase? This is open-source, after all) that provides a very low-latency store for shortened URLs -> encoded URLs.
{
"<GENERATED_SHORTENED_URL>": "<ENCODED_URL_HASH>"
}, {
"d24f208bc82": "#⌊2g⌈a⌉1y⌉r⌉94⌉c⌋Death,∫⌊e⌉8fc⌉fvn⌉c⌋me;∫⌊0⌉543⌉og3⌉m⌉1t⌉1db∫⌊2⌋Immortality.∫"
}
And then since it's hosted in 1 place, we can train the AI on the encoded texts.
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