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#!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
from pathlib import Path
from huggingface_hub import snapshot_download
from project_settings import environment, project_path
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--trained_model_dir",
default=(project_path / "trained_models").as_posix(),
type=str,
)
parser.add_argument(
"--models_repo_id",
default="qgyd2021/vm_sound_classification",
type=str,
)
parser.add_argument(
"--model_pattern",
default="sound-*-ch32.zip",
type=str,
)
parser.add_argument(
"--hf_token",
default=environment.get("hf_token"),
type=str,
)
args = parser.parse_args()
return args
def main():
args = get_args()
trained_model_dir = Path(args.trained_model_dir)
trained_model_dir.mkdir(parents=True, exist_ok=True)
_ = snapshot_download(
repo_id=args.models_repo_id,
allow_patterns=[args.model_pattern],
local_dir=trained_model_dir.as_posix(),
token=args.hf_token,
)
return
if __name__ == '__main__':
main()
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