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Hi, I would love to integrate this with https://github.com/hhursev/recipe-scrapers, to provide parsed ingredients when processing recipes.
Could you provide a couple of examples on how to use this parser?
Thank you!
The text was updated successfully, but these errors were encountered:
I saw your pull request over at recipe-scrapers - very cool :)
This repository makes fairly extensive use of a library called ingreedy-py - the quickest way to get started is to look at some of the test cases in that library. For example, this one parses the input text 1.0 cup flour into a dictionary containing (pseudocode) amount: 1, unit: cup, ingredient: flour.
Does that help, or am I dodging the question?
(I haven't gotten around to writing much documentation for this repository, and bringing up the infrastructure for these microservices isn't as easy as it should be.. plenty of work to do)
There are at least a few, yep :) Good to have options.
Have you discovered https://github.com/mtlynch/ingredient-phrase-tagger/ ? (it's a machine-learning-based approach, originating at the NYTimes; with some nice blog posts by the maintainer about the process of updating the codebase)
Hi, I would love to integrate this with https://github.com/hhursev/recipe-scrapers, to provide parsed ingredients when processing recipes.
Could you provide a couple of examples on how to use this parser?
Thank you!
The text was updated successfully, but these errors were encountered: