in iot-blog/image-classification-connector-and-feedback/part_1/beverageclassifier.py [0:0]
def function_handler(event, context):
image_filename = create_image_filename()
capture_and_save_image_as(image_filename)
predicted_category, prediction_confidence = get_inference(image_filename)
gg_client.publish(
topic='/response/prediction/beverage_container',
payload=json.dumps({'message':'Classified image as {} with a confidence of {}'.format(predicted_category, str(prediction_confidence))})
)
os.remove(image_filename)
return