#!/usr/bin/env python
from lib import train
import argparse

_parser = argparse.ArgumentParser()
_parser.add_argument("--input-file", help="the full path to data to train the model on")
_parser.add_argument("--model-path", help="the full path where the output will be persisted")
_parser.add_argument("--glove-path", help="the full path where the word embedding live")
args = _parser.parse_args()
MODEL_PATH, INPUT_FILE_PATH, GLOVE_DIR = args.model_path, args.input_file, args.glove_path

train.main(MODEL_PATH, INPUT_FILE_PATH, GLOVE_DIR)
