prediction_on_deployed_model.py

import json
import requests

# create a json string to ask query to the depoyed model
data = json.dumps({"signature_name": "serving_default",
                   "instances": test_images[0:3].tolist()})

# headers for the post request
headers = {"content-type": "application/json"}

# make the post request 
json_response = requests.post('http://localhost:9000/v1/models/sample/versions/1:predict',
                              data=data,
                              headers=headers)

# get the predictions
predictions = json.loads(json_response.text)
predictions