interact with model service

seldon-service-requests.py

DEFAULT_BASE_URL = "http://seldon-deployment-example-sklearn-iris-predictor-ml-mon.apps.cluster-d038.d038.example.opentlc.com%s"
import requests
from urllib.parse import urlencode
import json
def score_text(text, url = None):
    url = (url or (DEFAULT_BASE_URL % "/api/v1.0/predictions")) 
    print(url)
    payload = '{"data": {"ndarray":[[5.964,4.006,2.081,1.031]]}}'
    print(payload)
    headers = {'content-type': 'application/json'}
    response = requests.request("POST", url, data=payload, headers=headers)
    print(payload)
    print(response)
    return json.loads(response.text)