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Parses ingredient names into Name, Unit and Quantity

Project description

PyIng - Ingredient parser

This is a python package for parsing ingredient strings. There is only one function parse_ingredients. It takes in a single string or list of strings and returns a dictionary containing the name, quantity and unit in that recipe string.

Get Started

First install the package using pip:

pip install pying

Then you can use it like follows:

from PyIng import parse_ingredients

ingredients = ["3 large melons", "5 1/2 cups water", "2 cups flour"]

parsed_ingredients = parse_ingredients(ingredients)

the output parsed_ingredients should look like so:

parsed_ingredients = [
        "name": "melons",
        "unit": None,
        "qty": 3.0
        "name": "water",
        "unit": "cups",
        "qty": 5.5
        "name": "flour",
        "unit": "cups",
        "qty": 2

Training the model

The ingredient parser uses a LSTM model written in tensorflow. It is trained on a publically available dataset produced by the new york times:

The entire model is trained using the train_model.ipynb and the model is saved in tflite format. Please try and improve on my model, it is far from optimal, I wanted to get something that works without spending too long.

THere are more details on training the model in the jupyter notebook.

Project details

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Source Distribution

PyIng-0.1.15.tar.gz (74.4 MB view hashes)

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