import json
import mlflow
import numpy as np

model = mlflow.pyfunc.load_model('mlruns/1/4b83e774512444188fb587288818c298/artifacts/model')

with open('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))