import mlflow
import numpy as np
import json
import os


print('################\n\n', os.listdir('scripts/'), "\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.float64)
print(f"Predicted values: {model.predict(data.reshape(-1, 2))}")