| import joblib | |
| import numpy as np | |
| class Model: | |
| def __init__(self): | |
| self.model = joblib.load("mnist_logistic_regression.pkl") # Change for logistic and RF | |
| def predict(self, inputs): | |
| inputs = np.array(inputs).reshape(1, -1) | |
| digit = self.model.predict(inputs)[0] | |
| return {"digit": int(digit)} | |