Wine Quality Prediction Model

This is a first pass at productionizing a machine learning model trained on the red wine dataset.
Given the values below, predict whether the wine will be good or bad.
Here, good means score >= 7, bad otherwise.
The model was trained on a RandomForestClassifier using scikit-learn.
The API was created using FastAPI and deployed in Heroku.
Accuracy was 0.94 and f1-score was 0.93.