Working with a real life Sommelier, a scraped data set from Wine Enthusiast, and my python skills I developed a app that would recommend a wine variety (and suggest a wine) based on 5 your answers from questions. You are also able to choose which machine learning model you prefer.
Are listed in the requirements file though primarily
- spacy
- flask
- pandas
- render
To run the program locally first install the requirements.txt and then execute the following command in the root folder
python wsgi.pyThe app was deployed via render. Please feel free to try it out at:
https://highfivewine.onrender.com
The current (original) data set was scraped by Zack Thoutt and can be found at: https://github.com/zackthoutt/wine-deep-learning
I have recently scraped a larger dataset using a scraper package I developed that I want to use to retrain the models when I find the time.
Help and support from wine experts Michael Lagau from www.bin415.com and Allison Negron from www.hillfamilyestate.com
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.