RecipeReduce: Simplified Recipe Processing for Lazy Programmers

Overview

RecipeReduce

GitHub stars GitHub license Black

This repo will help you figure out the amount of ingredients to buy for a certain number of meals with selected recipes.

Getting Started

Installation

pip install -e .

Usage

To start, create a menu in desired language (available options: en / zh):

python -m recipe_reduce.menu --fname input.json --lang en

Open input.json, fill in the number of meals you would like to have for each recipe. Then, run the following command to get the list of ingredients:

python -m recipe_reduce.main --fname input.json --lang en

Examples

Input

{
  "甜粘三文鱼 配 烤蔬菜和米饭": 1,
  "柠檬刺山柑猪排和帕尔马玉米粥 配 迷迭香和大蒜烤青豆": 1
}

Output

[("rice", 2.5), ("green_beans", 0.5), ("bell_pepper", 0.5), ("garlic", 1.0), ("sesame", 0.125), ("tamari", 0.25), ("salmon", 5), ("sweet_chili_sauce", 1.5), ("lime", 0.5), ("chives", 0.125), ("rosemary", 0.125), ("lemon", 0.5), ("parmesan", 0.375), ("polenta", 1.5), ("pork", 6), ("turkey_broth_con", 0.5), ("caper", 0.5)]

More Recipes!

Add a New Recipe

To add a new recipe, have a look at recipe_reduce/recipe.py, create and add your own recipe to ALL_RECIPES.

Add New Ingredients

You might also want to add new ingredents, open data/items.csv and fill in the item information. Then, add a constant string in recipe_reduce/constants.py consistent with the item id in the csv.

TODOs

  • Print detailed item information from csv
  • Automatically add to WholeFoods cart with item url and amount
Owner
Qibin Chen
Rebooting.
Qibin Chen
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

Graph4NLP Graph4NLP is an easy-to-use library for R&D at the intersection of Deep Learning on Graphs and Natural Language Processing (i.e., DLG4NLP).

Graph4AI 1.5k Dec 23, 2022
Skipgram Negative Sampling in PyTorch

PyTorch SGNS Word2Vec's SkipGramNegativeSampling in Python. Yet another but quite general negative sampling loss implemented in PyTorch. It can be use

Jamie J. Seol 287 Dec 14, 2022
Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

Trankit: A Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing Trankit is a light-weight Transformer-based Pyth

652 Jan 06, 2023
🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Hugging Face 15k Jan 02, 2023
This project converts your human voice input to its text transcript and to an automated voice too.

Human Voice to Automated Voice & Text Introduction: In this project, whenever you'll speak, it will turn your voice into a robot voice and furthermore

Hassan Shahzad 3 Oct 15, 2021
Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"

UNITER: UNiversal Image-TExt Representation Learning This is the official repository of UNITER (ECCV 2020). This repository currently supports finetun

Yen-Chun Chen 680 Dec 24, 2022
Experiments in converting wikidata to ftm

FollowTheMoney / Wikidata mappings This repo will contain tools for converting Wikidata entities into FtM schema. Prefixes: https://www.mediawiki.org/

Friedrich Lindenberg 2 Nov 12, 2021
NewsMTSC: (Multi-)Target-dependent Sentiment Classification in News Articles

NewsMTSC: (Multi-)Target-dependent Sentiment Classification in News Articles NewsMTSC is a dataset for target-dependent sentiment classification (TSC)

Felix Hamborg 79 Dec 30, 2022
BERTopic is a topic modeling technique that leverages 🤗 transformers and c-TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions

BERTopic BERTopic is a topic modeling technique that leverages 🤗 transformers and c-TF-IDF to create dense clusters allowing for easily interpretable

Maarten Grootendorst 3.6k Jan 07, 2023
GNES enables large-scale index and semantic search for text-to-text, image-to-image, video-to-video and any-to-any content form

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

GNES.ai 1.2k Jan 06, 2023
HuggingSound: A toolkit for speech-related tasks based on HuggingFace's tools

HuggingSound HuggingSound: A toolkit for speech-related tasks based on HuggingFace's tools. I have no intention of building a very complex tool here.

Jonatas Grosman 247 Dec 26, 2022
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

730 Jan 09, 2023
Include MelGAN, HifiGAN and Multiband-HifiGAN, maybe NHV in the future.

Fast (GAN Based Neural) Vocoder Chinese README Todo Submit demo Support NHV Discription Include MelGAN, HifiGAN and Multiband-HifiGAN, maybe include N

Zhengxi Liu (刘正曦) 134 Dec 16, 2022
An open collection of annotated voices in Japanese language

声庭 (Koniwa): オープンな日本語音声とアノテーションのコレクション Koniwa (声庭): An open collection of annotated voices in Japanese language 概要 Koniwa(声庭)は利用・修正・再配布が自由でオープンな音声とアノテ

Koniwa project 32 Dec 14, 2022
Host your own GPT-3 Discord bot

GPT3 Discord Bot Host your own GPT-3 Discord bot i'd host and make the bot invitable myself, however GPT3 terms of service prohibit public use of GPT3

[something hillarious here] 8 Jan 07, 2023
Fidibo.com comments Sentiment Analyser

Fidibo.com comments Sentiment Analyser Introduction This project first asynchronously grab Fidibo.com books comment data using grabber.py and then sav

Iman Kermani 3 Apr 15, 2022
Python package for performing Entity and Text Matching using Deep Learning.

DeepMatcher DeepMatcher is a Python package for performing entity and text matching using deep learning. It provides built-in neural networks and util

461 Dec 28, 2022
Guide to using pre-trained large language models of source code

Large Models of Source Code I occasionally train and publicly release large neural language models on programs, including PolyCoder. Here, I describe

Vincent Hellendoorn 947 Dec 28, 2022
The projects lets you extract glossary words and their definitions from a given piece of text automatically using NLP techniques

Unsupervised technique to Glossary and Definition Extraction Code Files GPT2-DefinitionModel.ipynb - GPT-2 model for definition generation. Data_Gener

Prakhar Mishra 28 May 25, 2021
端到端的长本文摘要模型(法研杯2020司法摘要赛道)

端到端的长文本摘要模型(法研杯2020司法摘要赛道)

苏剑林(Jianlin Su) 334 Jan 08, 2023