Files
VRCT/models/translation/utils.py

54 lines
2.2 KiB
Python

import tempfile
from zipfile import ZipFile
from os import path as os_path
from os import makedirs as os_makedirs
from requests import get as requests_get, head as requests_head
from tqdm import tqdm
from typing import Callable
ctranslate2_weights = {
"small": { # M2M-100 418M-parameter model
"url": "https://bit.ly/33fM1AO",
"directory_name": "m2m100_418m",
"tokenizer": "facebook/m2m100_418M"
},
"large": { # M2M-100 1.2B-parameter model
"url": "https://bit.ly/3GYiaed",
"directory_name": "m2m100_12b",
"tokenizer": "facebook/m2m100_12b"
},
}
def downloadCTranslate2Weight(path, weight_type="small", ctranslate2_weights=ctranslate2_weights, func=None):
url = ctranslate2_weights[weight_type]["url"]
filename = 'weight.zip'
directory_name = 'weight'
current_directory = path
weight_directory_name = ctranslate2_weights[weight_type]["directory_name"]
files = ["model.bin", "sentencepiece.model", "shared_vocabulary.txt"]
# check already downloaded
if all(os_path.exists(os_path.join(current_directory, directory_name, weight_directory_name, file)) for file in files):
return
try:
os_makedirs(os_path.join(current_directory, directory_name), exist_ok=True)
print(os_path.join(current_directory, directory_name))
with tempfile.TemporaryDirectory() as tmp_path:
res = requests_get(url, stream=True)
file_size = int(res.headers.get('content-length', 0))
pbar = tqdm(total=file_size, unit="B", unit_scale=True)
total_chunk = 0
with open(os_path.join(tmp_path, filename), 'wb') as file:
for chunk in res.iter_content(chunk_size=1024):
file.write(chunk)
pbar.update(len(chunk))
if isinstance(func, Callable):
total_chunk += len(chunk)
func(total_chunk/file_size)
pbar.close()
with ZipFile(os_path.join(tmp_path, filename)) as zf:
zf.extractall(os_path.join(current_directory, directory_name))
except Exception as e:
print("error:downloadCTranslate2Weight()", e)