Ratatouille: A tool for Novel Recipe Generation

TL;DR

This paper introduces Ratatouille, a web-based tool that leverages deep learning models like LSTMs and GPT-2 trained on extensive recipe data to generate realistic, novel cooking recipes, advancing the field of natural language processing in culinary innovation.

Contribution

The paper presents a novel web application that uses deep learning models trained on large recipe datasets to generate new, realistic recipes.

Findings

Deep learning models can generate plausible new recipes.

Ratatouille demonstrates practical application of NLP in culinary creativity.

The tool is accessible via a user-friendly web interface.

Abstract

Due to availability of a large amount of cooking recipes online, there is a growing interest in using this as data to create novel recipes. Novel Recipe Generation is a problem in the field of Natural Language Processing in which our main interest is to generate realistic, novel cooking recipes. To come up with such novel recipes, we trained various Deep Learning models such as LSTMs and GPT-2 with a large amount of recipe data. We present Ratatouille (https://cosylab.iiitd.edu.in/ratatouille2/), a web based application to generate novel recipes.