[HN Gopher] Show HN: PyIng - Ingredient parser
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       Show HN: PyIng - Ingredient parser
        
       For far to long ingredient parsers been unavailable to the public.
       Either due to obsene complexity:
       https://github.com/nytimes/ingredient-phrase-tagger  Or because of
       the dreaded paywall:  https://github.com/mtlynch/zestful-client
       Wait no longer, I introduce PyIng. An easy to use python package
       for changing this "2 ounces of spicy melon" into this {name: melon,
       unit: ounces, qty: 2.0}.  https://github.com/whitew1994WW/PyIng
        
       Author : CokieMonster
       Score  : 36 points
       Date   : 2022-03-28 19:19 UTC (3 hours ago)
        
       | Simon_O_Rourke wrote:
       | Very cool, and long overdue. Any plans to try and scrape some
       | recipes into it? I'm always looking for some way of submitting
       | whatever is left in the larder and getting a list of potential
       | meals.
        
         | FarProfessor wrote:
         | There's a great app for this! It's called Half Lemons (iOS
         | only).
        
       | daenz wrote:
       | Cool! Do you plan on capturing modifiers like "spicy" or "large"
       | ? Without those, I imagine a lot of dishes won't be quite the
       | same.
        
       | simonhamp wrote:
       | Like machine learning algorithmic art pieces, could we now make
       | algorithmic recipes?
       | 
       | Would be fun to see what comes out the other side
        
         | elil17 wrote:
         | There was IBM Chef Watson
        
         | neoncontrails wrote:
         | Great question. Models for generating plausible recipes have
         | existed in some form for about a decade now.
         | 
         | Arguably the first "successful" attempt at this was Chef
         | Watson, which blew my mind when it was first released in 2014
         | despite its well-documented tendency to suggest all kinds of
         | spectacularly odd combinations of flavors and ingredients, like
         | garlic ice cream and mayonnaise-spiked Bloody Marys[1].
         | 
         | It's worth noting that preprocessing the textual inputs isn't
         | entirely necessary to produce somewhat reasonable, ML-generated
         | recipes. For example GPT-3 is capable of generating fairly
         | interesting zero-shot recipes, despite having been trained on
         | raw text data without any preliminary feature selection to
         | label (e.g.) a recipe's ingredients.[2] Still not exempt from
         | the occasional wacky, whimsical suggestion[3], but I, for one,
         | wouldn't want my ML-generated recipes any other way.
         | 
         | 1.
         | https://www.google.com/amp/s/www.newyorker.com/magazine/2016...
         | 
         | 2. https://github.com/LARC-CMU-SMU/RecipeGPT-exp
         | 
         | 3. https://thenextweb.com/news/ai-generated-recipes-three-
         | cours...
        
         | inportb wrote:
         | Yeah? https://www.youtube.com/watch?v=7sn8df97-JU
        
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       (page generated 2022-03-28 23:01 UTC)