| import argparse | |
| from diacritizer import TransformerDiacritizer | |
| from itertools import repeat | |
| import random | |
| import numpy as np | |
| import torch | |
| SEED = 1234 | |
| random.seed(SEED) | |
| np.random.seed(SEED) | |
| torch.manual_seed(SEED) | |
| torch.cuda.manual_seed(SEED) | |
| torch.backends.cudnn.deterministic = True | |
| torch.backends.cudnn.benchmark = False | |
| def diacritization_parser(): | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--model_kind", dest="model_kind", type=str, required=True) | |
| parser.add_argument("--config", dest="config", type=str, required=True) | |
| parser.add_argument("--text", dest="text", type=str, required=True) | |
| return parser | |
| parser = diacritization_parser() | |
| args = parser.parse_args() | |
| if args.model_kind in ["transformer"]: | |
| diacirtizer = TransformerDiacritizer(args.config, args.model_kind) | |
| else: | |
| raise ValueError("The model kind is not supported") | |
| diacirtizer.diacritize_text(args.text) | |