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"""Script to create MLE model for retriever component of CRB-CRS.
For ReDial, use the following command:
python -m script.crb_crs.create_mle \
--corpus_file data/redial/GT_corpus_tokens.txt \
--output_file data/models/crb_crs/mle_model.pkl
"""
import argparse
import logging
import os
from src.model.crb_crs.retriever.mle_model import NGramMLE
def parse_args() -> argparse.Namespace:
"""Parses command line arguments."""
parser = argparse.ArgumentParser(
description="Create MLE model for retriever component of CRB-CRS."
)
parser.add_argument(
"--corpus_file",
type=str,
required=True,
help="Path to the corpus file.",
)
parser.add_argument(
"--output_file",
type=str,
required=True,
help="Path to save the created MLE model.",
)
parser.add_argument(
"--n",
type=int,
default=2,
help="Maximum n-gram order. Defaults to 2.",
)
return parser.parse_args()
def main(args: argparse.Namespace) -> None:
"""Creates MLE model for retriever component of CRB-CRS.
Args:
args: Command line arguments.
"""
model = NGramMLE(args.n, args.corpus_file)
model.create_ngrams()
os.makedirs(os.path.dirname(args.output_file), exist_ok=True)
model.save(args.output_file)
logging.info(f"MLE model saved at {args.output_file}.")
if __name__ == "__main__":
logging.basicConfig(level=logging.INFO)
main(parse_args())
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