def train_save(): question = request.forms.get("question") sessionid = request.forms.get("sessionid") answer = request.forms.get("face") classifier.train((question, answer)) logging.info("[%s] %s %s" % (sessionid, answer, question)) return locals()
def main(): logging.basicConfig(level=logging.INFO, filename="transcript.log", format="%(message)s") faces.update(json.load(open("faces.json", "rb"))) classifier.train(zip(len(faces) * [None], faces.keys())) run(port=8888)