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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)
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