Serve ML model with Flask REST API - 4

client.py

import requests

test_data = [
        [8.0, 390.0, 190.0, 3850.0, 8.5, 70.0, 0.0, 0.0, 1.0],
        [8.0, 360.0, 215.0, 4615.0, 14.0, 70.0, 0.0, 0.0, 1.0],
        [8.0, 304.0, 193.0, 4732.0, 18.5, 70.0, 0.0, 0.0, 1.0],
        [4.0, 113.0, 95.0, 2228.0, 14.0, 71.0, 0.0, 1.0, 0.0],
        [6.0, 232.0, 100.0, 2634.0, 13.0, 71.0, 0.0, 0.0, 1.0],
    ]

for data in test_data:
    query = {"data": data}
    response = requests.post("http://127.0.0.1:3000/predict", json=query)
    print(response.json())