import json
import mlflow
import numpy as np

path = '/mlruns/13/da5c6167bb45403fa35569849a1fbc13/artifacts/model'
model = mlflow.pyfunc.load_model(path)

with open(f'{path}/input_example.json') as file:
    data = json.load(file)
    input_example = np.array([data['inputs']]).reshape(-1, 2)
    print('Input:\n', input_example)
    print('Predictions:\n', model.predict(input_example))