Spaces:
Runtime error
Runtime error
File size: 6,208 Bytes
8d0209c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 |
"""
Routines for loading DeepSpeech model.
"""
__all__ = ['get_deepspeech_model_file']
import os
import zipfile
import logging
import hashlib
deepspeech_features_repo_url = 'https://github.com/osmr/deepspeech_features'
def get_deepspeech_model_file(local_model_store_dir_path=os.path.join("~", ".tensorflow", "models")):
"""
Return location for the pretrained on local file system. This function will download from online model zoo when
model cannot be found or has mismatch. The root directory will be created if it doesn't exist.
Parameters
----------
local_model_store_dir_path : str, default $TENSORFLOW_HOME/models
Location for keeping the model parameters.
Returns
-------
file_path
Path to the requested pretrained model file.
"""
sha1_hash = "b90017e816572ddce84f5843f1fa21e6a377975e"
file_name = "deepspeech-0_1_0-b90017e8.pb"
local_model_store_dir_path = os.path.expanduser(local_model_store_dir_path)
file_path = os.path.join(local_model_store_dir_path, file_name)
if os.path.exists(file_path):
if _check_sha1(file_path, sha1_hash):
return file_path
else:
logging.warning("Mismatch in the content of model file detected. Downloading again.")
else:
logging.info("Model file not found. Downloading to {}.".format(file_path))
if not os.path.exists(local_model_store_dir_path):
os.makedirs(local_model_store_dir_path)
zip_file_path = file_path + ".zip"
_download(
url="{repo_url}/releases/download/{repo_release_tag}/{file_name}.zip".format(
repo_url=deepspeech_features_repo_url,
repo_release_tag="v0.0.1",
file_name=file_name),
path=zip_file_path,
overwrite=True)
with zipfile.ZipFile(zip_file_path) as zf:
zf.extractall(local_model_store_dir_path)
os.remove(zip_file_path)
if _check_sha1(file_path, sha1_hash):
return file_path
else:
raise ValueError("Downloaded file has different hash. Please try again.")
def _download(url, path=None, overwrite=False, sha1_hash=None, retries=5, verify_ssl=True):
"""
Download an given URL
Parameters
----------
url : str
URL to download
path : str, optional
Destination path to store downloaded file. By default stores to the
current directory with same name as in url.
overwrite : bool, optional
Whether to overwrite destination file if already exists.
sha1_hash : str, optional
Expected sha1 hash in hexadecimal digits. Will ignore existing file when hash is specified
but doesn't match.
retries : integer, default 5
The number of times to attempt the download in case of failure or non 200 return codes
verify_ssl : bool, default True
Verify SSL certificates.
Returns
-------
str
The file path of the downloaded file.
"""
import warnings
try:
import requests
except ImportError:
class requests_failed_to_import(object):
pass
requests = requests_failed_to_import
if path is None:
fname = url.split("/")[-1]
# Empty filenames are invalid
assert fname, "Can't construct file-name from this URL. Please set the `path` option manually."
else:
path = os.path.expanduser(path)
if os.path.isdir(path):
fname = os.path.join(path, url.split("/")[-1])
else:
fname = path
assert retries >= 0, "Number of retries should be at least 0"
if not verify_ssl:
warnings.warn(
"Unverified HTTPS request is being made (verify_ssl=False). "
"Adding certificate verification is strongly advised.")
if overwrite or not os.path.exists(fname) or (sha1_hash and not _check_sha1(fname, sha1_hash)):
dirname = os.path.dirname(os.path.abspath(os.path.expanduser(fname)))
if not os.path.exists(dirname):
os.makedirs(dirname)
while retries + 1 > 0:
# Disable pyling too broad Exception
# pylint: disable=W0703
try:
print("Downloading {} from {}...".format(fname, url))
r = requests.get(url, stream=True, verify=verify_ssl)
if r.status_code != 200:
raise RuntimeError("Failed downloading url {}".format(url))
with open(fname, "wb") as f:
for chunk in r.iter_content(chunk_size=1024):
if chunk: # filter out keep-alive new chunks
f.write(chunk)
if sha1_hash and not _check_sha1(fname, sha1_hash):
raise UserWarning("File {} is downloaded but the content hash does not match."
" The repo may be outdated or download may be incomplete. "
"If the `repo_url` is overridden, consider switching to "
"the default repo.".format(fname))
break
except Exception as e:
retries -= 1
if retries <= 0:
raise e
else:
print("download failed, retrying, {} attempt{} left"
.format(retries, "s" if retries > 1 else ""))
return fname
def _check_sha1(filename, sha1_hash):
"""
Check whether the sha1 hash of the file content matches the expected hash.
Parameters
----------
filename : str
Path to the file.
sha1_hash : str
Expected sha1 hash in hexadecimal digits.
Returns
-------
bool
Whether the file content matches the expected hash.
"""
sha1 = hashlib.sha1()
with open(filename, "rb") as f:
while True:
data = f.read(1048576)
if not data:
break
sha1.update(data)
return sha1.hexdigest() == sha1_hash
|