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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) | |