Yep, precisely. It is sentiment analysis fine-tuned on finance news. This is then mapped to bullish, neutral or bearish for the analysis overlay

I think there is no clear response from their side, but from the guidelines one can infer that they'd cut it only if there's no added value (in this case the summary and analysis for instance) and mass produced, for example just chopping clips with random TTS from a tv show.

Thank you! Tbh I really over-engineered it at first, trained a model to classify articles into sub-categories, then built a query around that to fetch contextualized videos from pexels, but it was really clunky (e.g., stock market could return something like someone buying fruit at the farmer's market). Currently, I have a 2 pools of videos I curate manually, and the content creator script just picks randomly either from the stocks pool, or crypto pool.

Ah, good thing it's not monetized yet :P all jokes aside, I think their policy is against repetetive, fully programatically generated content. Since I'm still manually curating the contents of the video due to the current limitations, that might actually be a good thing. But thanks for pointing that out, I'll try to clarify it and adjust as needed.

Currently Coqui TTS: https://github.com/coqui-ai/TTS

Thank you! I'm just happy I got to deploy a side-project, the pile of "projects that sound great but lost steam half-way through" was getting too big haha

Thank you very much! I got it to a point where it "works", but there's a lot of work to be done still. Off the top of my head the TTS pace is a bit off and pronunciation is often clunky, videos are chosen from a random pool and could be matched to the article. But the biggest challenge so far has really been automating it end-to-end in a reliable way