RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System
This work addresses the need for automated recipe generation for users interested in cooking, but it is incremental as it applies an existing pre-trained model to a specific domain.
The authors tackled the problem of automatically generating cooking recipes by developing RecipeGPT, a system that uses a fine-tuned GPT-2 model to generate instructions from titles and ingredients or ingredients from titles and instructions, and includes an evaluation module for user inspection and storage of results.
Interests in the automatic generation of cooking recipes have been growing steadily over the past few years thanks to a large amount of online cooking recipes. We present RecipeGPT, a novel online recipe generation and evaluation system. The system provides two modes of text generations: (1) instruction generation from given recipe title and ingredients; and (2) ingredient generation from recipe title and cooking instructions. Its back-end text generation module comprises a generative pre-trained language model GPT-2 fine-tuned on a large cooking recipe dataset. Moreover, the recipe evaluation module allows the users to conveniently inspect the quality of the generated recipe contents and store the results for future reference. RecipeGPT can be accessed online at https://recipegpt.org/.