pynutrition 0.0.1

LLM-driven Python daily nutrition app

pynutrition

LLM-driven Python daily nutrition app

Installation

pip install pynutrition

Usage

from pynutrition import Ingredient, Quantity, Calories, Composition
from pynutrition.nutrients import Fat, Saturates, Carbohydrate, Sugar, Protein, Salt

yoghurt = Ingredient(name="Greek Yoghurt Bakoma (5900197012723)", quantity=Quantity(250), calories=Calories(100), composition=Composition({
    Fat(7.5), Saturates(4.5), Carbohydrate(4.7), Sugar(4.7), Protein(3.5), Salt(0.12) 
}), base=100)
walnuts = Ingredient("Walnuts Carrefour (5905617004623)", Quantity(30), Calories(666), composition=Composition({
    Fat(60.3), Saturates(6.6), Carbohydrate(11.5), Sugar(9.9), Protein(16)
}), base=100)

meal = yoghurt + walnuts
print(meal.calories.as_int())  # round(2.5 * 100 + 0.3 * 666)
>>> 450

The base is used for calculations of nutritional information which are expressed as amounts per base, often (as in the example) equal to 100g. All quantities are expressed in grams.

You can use .get_data and .load_data to fetch nutrional data with GPT-4 in the format accepted by the app and load each retrieved row as Ingredient that can be used to compose meals.

Info

Software engineers, plagued by the stereotype of poor eating and collecting bad habits

Source: HackerNoon

This is a one-day project I quickly built (and tuned) for myself to improve my diet and nutrition. While you can see the haste in the code and design, I have realised even such rudimentary version might be useful to you. I want to contribute to supporting others in the community in their goal of becoming healthier, happier and stronger.

I hope I will find some time to make this project grow. If you are interested in extending its functionalities, found bugs or want to help, hit me up through issues.