import mlflow
import numpy as np
import json
import os


print('################\n\n', os.listdir(), "\n\n###############")
model = mlflow.pyfunc.load_model(
    '../mlruns/13/da5c6167bb45403fa35569849a1fbc13/artifacts/model')
with open('../mlruns/13/da5c6167bb45403fa35569849a1fbc13/artifacts/model/input_example.json') as f:
    data = np.array([json.load(f)['inputs'][0]], dtype=np.float32)
print(f"Predicted values: {model.predict(data.reshape(-1, 2))}")