| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
|
|
| import os |
| import sys |
| import tarfile |
| from pathlib import Path |
| from urllib.request import urlretrieve |
|
|
| import requests |
| import tqdm |
|
|
|
|
| def download(url: str, dest: str, only_child=True): |
| """ download from url to dest |
| """ |
| assert os.path.exists(dest) |
| print('Downloading {} to {}'.format(url, dest)) |
|
|
| def progress_hook(t): |
| last_b = [0] |
|
|
| def update_to(b=1, bsize=1, tsize=None): |
| if tsize not in (None, -1): |
| t.total = tsize |
| displayed = t.update((b - last_b[0]) * bsize) |
| last_b[0] = b |
| return displayed |
|
|
| return update_to |
|
|
| |
| name = url.split('?')[0].split('/')[-1] |
| tar_path = os.path.join(dest, name) |
| with tqdm.tqdm(unit='B', |
| unit_scale=True, |
| unit_divisor=1024, |
| miniters=1, |
| desc=(name)) as t: |
| urlretrieve(url, |
| filename=tar_path, |
| reporthook=progress_hook(t), |
| data=None) |
| t.total = t.n |
|
|
| with tarfile.open(tar_path) as f: |
| if not only_child: |
| f.extractall(dest) |
| else: |
| for tarinfo in f: |
| if "/" not in tarinfo.name: |
| continue |
| name = os.path.basename(tarinfo.name) |
| fileobj = f.extractfile(tarinfo) |
| with open(os.path.join(dest, name), "wb") as writer: |
| writer.write(fileobj.read()) |
|
|
|
|
| class Hub(object): |
| """Hub for wenet pretrain runtime model |
| """ |
| |
| Assets = { |
| |
| "chinese": "wenetspeech_u2pp_conformer_libtorch.tar.gz", |
| |
| "english": "gigaspeech_u2pp_conformer_libtorch.tar.gz", |
| |
| "paraformer": "paraformer.tar.gz", |
| |
| "punc": "punc.tar.gz" |
| } |
|
|
| def __init__(self) -> None: |
| pass |
|
|
| @staticmethod |
| def get_model_by_lang(lang: str) -> str: |
| if lang not in Hub.Assets.keys(): |
| print('ERROR: Unsupported language {} !!!'.format(lang)) |
| sys.exit(1) |
|
|
| |
| |
| |
| |
| |
| |
| |
| |
| model = Hub.Assets[lang] |
| model_dir = os.path.join(Path.home(), ".wenet", lang) |
| if not os.path.exists(model_dir): |
| os.makedirs(model_dir) |
| |
| if set(["final.zip", |
| "units.txt"]).issubset(set(os.listdir(model_dir))): |
| return model_dir |
| |
| response = requests.get( |
| "https://modelscope.cn/api/v1/datasets/wenet/wenet_pretrained_models/oss/tree" |
| ) |
| model_info = next(data for data in response.json()["Data"] |
| if data["Key"] == model) |
| model_url = model_info['Url'] |
| download(model_url, model_dir, only_child=True) |
| return model_dir |
|
|