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# Copyright (c) 2022 Mddct([email protected]) | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
import os | |
import requests | |
import sys | |
import tarfile | |
from pathlib import Path | |
from urllib.request import urlretrieve | |
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 | |
# *.tar.gz | |
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 | |
""" | |
# TODO(Mddct): make assets class to support other language | |
Assets = { | |
# wenetspeech | |
"chinese": "wenetspeech_u2pp_conformer_libtorch.tar.gz", | |
# gigaspeech | |
"english": "gigaspeech_u2pp_conformer_libtorch.tar.gz", | |
# paraformer | |
"paraformer": "paraformer.tar.gz" | |
} | |
def __init__(self) -> None: | |
pass | |
def get_model_by_lang(lang: str) -> str: | |
if lang not in Hub.Assets.keys(): | |
print('ERROR: Unsupported language {} !!!'.format(lang)) | |
sys.exit(1) | |
# NOTE(Mddct): model_dir structure | |
# Path.Home()/.wenet | |
# - chs | |
# - units.txt | |
# - final.zip | |
# - en | |
# - units.txt | |
# - final.zip | |
model = Hub.Assets[lang] | |
model_dir = os.path.join(Path.home(), ".wenet", lang) | |
if not os.path.exists(model_dir): | |
os.makedirs(model_dir) | |
# TODO(Mddct): model metadata | |
if set(["final.zip", | |
"units.txt"]).issubset(set(os.listdir(model_dir))): | |
return model_dir | |
# If not exist, download | |
response = requests.get( | |
"https://modelscope.cn/api/v1/datasets/wenet/wenet_pretrained_models/oss/tree" # noqa | |
) | |
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 | |