ium_444356/predict.py

import json
import mlflow
import pandas as pd

input = sys.argv[1]

logged_model = 'mlruns/1/fa3e620f03e64d888c364827907fb6f5/artifacts/s444409'
loaded_model = mlflow.pyfunc.load_model(logged_model)


with open(f'{logged_model}/'+input) as f:
    data = json.load(f)

loaded_model.predict(data['inputs'])