import mlflow
import numpy as np
import json


model = mlflow.pyfunc.load_model(
    'mlruns/1/4b83e774512444188fb587288818c298/artifacts/model')
with open('scripts/input_example.json') as f:
    data = np.array([json.load(f)['inputs'][0]], dtype=np.float64)
print(f"Predicted values: {model.predict(data.reshape(-1, 2))}")