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)
