import json
import mlflow
import torch
import numpy as np
import pandas as pd

import sys

arguments = sys.argv[1:]

input = str(arguments[0])

model = mlflow.pytorch.load_model("my_model")

with open(f'my_model/{input}', 'r') as file:
    json_data = json.load(file)

print(model(torch.tensor(np.array(json_data['inputs'])).float()))