[Feature request] Automatic batch processing of long files on harvest for limited RAM machines

A common complaint from Google Colab users is harvest being unusable without manually splitting their song into parts. I wonder if an argument in the command to run python infer-web.py could be used to forcefully do it in batches so that it still exports without erroring out? If not that, splitting the song into ~30s intervals that cut off at silence and then stitching them together to serve a complete wav?