mirror of
https://github.com/shirayu/whispering.git
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Updated libraries
This commit is contained in:
Yuta Hayashibe
parent
b64e5683ab
commit
77ff078342
2 changed files with 68 additions and 633 deletions
12
package-lock.json
generated
12
package-lock.json
generated
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@ -231,9 +231,9 @@
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}
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},
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"node_modules/minimist": {
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"version": "1.2.7",
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"dev": true,
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"funding": {
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"url": "https://github.com/sponsors/ljharb"
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@ -249,9 +249,9 @@
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}
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},
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"node_modules/pyright": {
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"version": "1.1.292",
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"dev": true,
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"bin": {
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"pyright": "index.js",
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689
poetry.lock
generated
689
poetry.lock
generated
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@ -69,18 +69,6 @@ d = ["aiohttp (>=3.7.4)"]
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jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
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uvloop = ["uvloop (>=0.15.2)"]
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[[package]]
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name = "certifi"
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version = "2022.12.7"
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description = "Python package for providing Mozilla's CA Bundle."
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category = "main"
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optional = false
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python-versions = ">=3.6"
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[[package]]
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name = "cffi"
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version = "1.15.1"
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@ -158,104 +146,6 @@ files = [
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[package.dependencies]
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pycparser = "*"
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[[package]]
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name = "charset-normalizer"
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version = "3.0.1"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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category = "main"
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||||
]
|
||||
|
||||
[[package]]
|
||||
name = "click"
|
||||
version = "8.1.3"
|
||||
|
|
@ -298,40 +188,6 @@ files = [
|
|||
[package.extras]
|
||||
test = ["pytest (>=6)"]
|
||||
|
||||
[[package]]
|
||||
name = "ffmpeg-python"
|
||||
version = "0.2.0"
|
||||
description = "Python bindings for FFmpeg - with complex filtering support"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "ffmpeg-python-0.2.0.tar.gz", hash = "sha256:65225db34627c578ef0e11c8b1eb528bb35e024752f6f10b78c011f6f64c4127"},
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||||
]
|
||||
|
||||
[package.dependencies]
|
||||
future = "*"
|
||||
|
||||
[package.extras]
|
||||
dev = ["Sphinx (==2.1.0)", "future (==0.17.1)", "numpy (==1.16.4)", "pytest (==4.6.1)", "pytest-mock (==1.10.4)", "tox (==3.12.1)"]
|
||||
|
||||
[[package]]
|
||||
name = "filelock"
|
||||
version = "3.9.0"
|
||||
description = "A platform independent file lock."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
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||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["furo (>=2022.12.7)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.5)"]
|
||||
testing = ["covdefaults (>=2.2.2)", "coverage (>=7.0.1)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-timeout (>=2.1)"]
|
||||
|
||||
[[package]]
|
||||
name = "flake8"
|
||||
version = "5.0.4"
|
||||
|
|
@ -349,60 +205,6 @@ mccabe = ">=0.7.0,<0.8.0"
|
|||
pycodestyle = ">=2.9.0,<2.10.0"
|
||||
pyflakes = ">=2.5.0,<2.6.0"
|
||||
|
||||
[[package]]
|
||||
name = "future"
|
||||
version = "0.18.3"
|
||||
description = "Clean single-source support for Python 3 and 2"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
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||||
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|
||||
|
||||
[[package]]
|
||||
name = "huggingface-hub"
|
||||
version = "0.12.0"
|
||||
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7.0"
|
||||
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|
||||
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||||
|
||||
[package.dependencies]
|
||||
filelock = "*"
|
||||
packaging = ">=20.9"
|
||||
pyyaml = ">=5.1"
|
||||
requests = "*"
|
||||
tqdm = ">=4.42.1"
|
||||
typing-extensions = ">=3.7.4.3"
|
||||
|
||||
[package.extras]
|
||||
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "jedi", "mypy (==0.982)", "pytest", "pytest-cov", "pytest-env", "pytest-xdist", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
|
||||
cli = ["InquirerPy (==0.3.4)"]
|
||||
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "jedi", "mypy (==0.982)", "pytest", "pytest-cov", "pytest-env", "pytest-xdist", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
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||||
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
|
||||
quality = ["black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "mypy (==0.982)"]
|
||||
tensorflow = ["graphviz", "pydot", "tensorflow"]
|
||||
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "isort (>=5.5.4)", "jedi", "pytest", "pytest-cov", "pytest-env", "pytest-xdist", "soundfile"]
|
||||
torch = ["torch"]
|
||||
typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
|
||||
|
||||
[[package]]
|
||||
name = "idna"
|
||||
version = "3.4"
|
||||
description = "Internationalized Domain Names in Applications (IDNA)"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.5"
|
||||
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||||
{file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"},
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|
||||
|
||||
[[package]]
|
||||
name = "iniconfig"
|
||||
version = "2.0.0"
|
||||
|
|
@ -445,66 +247,16 @@ files = [
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{file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
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||||
|
||||
[[package]]
|
||||
name = "more-itertools"
|
||||
version = "9.0.0"
|
||||
description = "More routines for operating on iterables, beyond itertools"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
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||||
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|
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[[package]]
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||||
name = "mypy-extensions"
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||||
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description = "Experimental type system extensions for programs checked with the mypy typechecker."
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||||
version = "1.0.0"
|
||||
description = "Type system extensions for programs checked with the mypy type checker."
|
||||
category = "dev"
|
||||
optional = false
|
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python-versions = "*"
|
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python-versions = ">=3.5"
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|
||||
[[package]]
|
||||
name = "numpy"
|
||||
version = "1.24.1"
|
||||
description = "Fundamental package for array computing in Python"
|
||||
category = "main"
|
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{file = "numpy-1.24.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:cfa1161c6ac8f92dea03d625c2d0c05e084668f4a06568b77a25a89111621566"},
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||||
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|
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -576,7 +328,7 @@ wheel = "*"
|
|||
name = "packaging"
|
||||
version = "23.0"
|
||||
description = "Core utilities for Python packages"
|
||||
category = "main"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
|
|
@ -598,19 +350,19 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "platformdirs"
|
||||
version = "2.6.2"
|
||||
version = "3.0.0"
|
||||
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
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||||
[package.extras]
|
||||
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|
||||
test = ["appdirs (==1.4.4)", "covdefaults (>=2.2.2)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
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||||
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||||
[[package]]
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name = "pluggy"
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|
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||||
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||||
[package.dependencies]
|
||||
|
|
@ -780,186 +532,16 @@ tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
|
|||
[package.extras]
|
||||
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||||
|
||||
[[package]]
|
||||
name = "pyyaml"
|
||||
version = "6.0"
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||||
description = "YAML parser and emitter for Python"
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||||
category = "main"
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||||
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||||
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||||
[[package]]
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||||
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||||
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||||
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|
||||
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||||
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[package.extras]
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@ -981,17 +563,17 @@ files = [
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|
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{file = "tokenizers-0.13.2-cp39-cp39-macosx_10_11_x86_64.whl", hash = "sha256:b47d6212e7dd05784d7330b3b1e5a170809fa30e2b333ca5c93fba1463dec2b7"},
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{file = "tokenizers-0.13.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:80a57501b61ec4f94fb7ce109e2b4a1a090352618efde87253b4ede6d458b605"},
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{file = "tokenizers-0.13.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c09f4fa620e879debdd1ec299bb81e3c961fd8f64f0e460e64df0818d29d845c"},
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{file = "tokenizers-0.13.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:66c892d85385b202893ac6bc47b13390909e205280e5df89a41086cfec76fedb"},
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{file = "tokenizers-0.13.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b3e306b0941ad35087ae7083919a5c410a6b672be0343609d79a1171a364ce79"},
|
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{file = "tokenizers-0.13.2-cp39-cp39-win32.whl", hash = "sha256:79189e7f706c74dbc6b753450757af172240916d6a12ed4526af5cc6d3ceca26"},
|
||||
{file = "tokenizers-0.13.2-cp39-cp39-win_amd64.whl", hash = "sha256:486d637b413fddada845a10a45c74825d73d3725da42ccd8796ccd7a1c07a024"},
|
||||
{file = "tokenizers-0.13.2.tar.gz", hash = "sha256:f9525375582fd1912ac3caa2f727d36c86ff8c0c6de45ae1aaff90f87f33b907"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
dev = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
|
||||
docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
|
||||
testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
|
||||
|
||||
[[package]]
|
||||
name = "toml"
|
||||
version = "0.10.2"
|
||||
|
|
@ -1173,102 +700,18 @@ notebook = ["ipywidgets (>=6)"]
|
|||
slack = ["slack-sdk"]
|
||||
telegram = ["requests"]
|
||||
|
||||
[[package]]
|
||||
name = "transformers"
|
||||
version = "4.26.0"
|
||||
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7.0"
|
||||
files = [
|
||||
{file = "transformers-4.26.0-py3-none-any.whl", hash = "sha256:6a902eee6098d9a737faadf185b8df5a169acc695ebbde5a81b90528f43e665f"},
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{file = "transformers-4.26.0.tar.gz", hash = "sha256:d7859bd83829a3682ca632197ee5c72556e1063d199ab84eec35c4f23b3d73a3"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
filelock = "*"
|
||||
huggingface-hub = ">=0.11.0,<1.0"
|
||||
numpy = ">=1.17"
|
||||
packaging = ">=20.0"
|
||||
pyyaml = ">=5.1"
|
||||
regex = "!=2019.12.17"
|
||||
requests = "*"
|
||||
tokenizers = ">=0.11.1,<0.11.3 || >0.11.3,<0.14"
|
||||
tqdm = ">=4.27"
|
||||
|
||||
[package.extras]
|
||||
accelerate = ["accelerate (>=0.10.0)"]
|
||||
all = ["Pillow", "accelerate (>=0.10.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "phonemizer", "protobuf (<=3.20.2)", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4,<2.12)", "tensorflow-text", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio"]
|
||||
audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
codecarbon = ["codecarbon (==1.2.0)"]
|
||||
deepspeed = ["accelerate (>=0.10.0)", "deepspeed (>=0.6.5)"]
|
||||
deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.10.0)", "beautifulsoup4", "black (==22.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.6.5)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf (<=3.20.2)", "psutil", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "sentencepiece (>=0.1.91,!=0.1.92)", "timeout-decorator"]
|
||||
dev = ["GitPython (<3.1.19)", "Pillow", "accelerate (>=0.10.0)", "beautifulsoup4", "black (==22.3)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "flax (>=0.4.1)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pytest", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.4,<2.12)", "tensorflow-text", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
|
||||
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow", "beautifulsoup4", "black (==22.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.4,<2.12)", "tensorflow-text", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
|
||||
dev-torch = ["GitPython (<3.1.19)", "Pillow", "beautifulsoup4", "black (==22.3)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pytest", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
|
||||
docs = ["Pillow", "accelerate (>=0.10.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1)", "hf-doc-builder", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "phonemizer", "protobuf (<=3.20.2)", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4,<2.12)", "tensorflow-text", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio"]
|
||||
docs-specific = ["hf-doc-builder"]
|
||||
fairscale = ["fairscale (>0.3)"]
|
||||
flax = ["flax (>=0.4.1)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "optax (>=0.0.8)"]
|
||||
flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
ftfy = ["ftfy"]
|
||||
integrations = ["optuna", "ray[tune]", "sigopt"]
|
||||
ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
|
||||
modelcreation = ["cookiecutter (==1.7.3)"]
|
||||
natten = ["natten (>=0.14.4)"]
|
||||
onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
|
||||
onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
|
||||
optuna = ["optuna"]
|
||||
quality = ["GitPython (<3.1.19)", "black (==22.3)", "datasets (!=2.5.0)", "flake8 (>=3.8.3)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)"]
|
||||
ray = ["ray[tune]"]
|
||||
retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
|
||||
sagemaker = ["sagemaker (>=2.31.0)"]
|
||||
sentencepiece = ["protobuf (<=3.20.2)", "sentencepiece (>=0.1.91,!=0.1.92)"]
|
||||
serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
|
||||
sigopt = ["sigopt"]
|
||||
sklearn = ["scikit-learn"]
|
||||
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (==22.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf (<=3.20.2)", "psutil", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "timeout-decorator"]
|
||||
tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.4,<2.12)", "tensorflow-text", "tf2onnx"]
|
||||
tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.4,<2.12)", "tensorflow-text", "tf2onnx"]
|
||||
tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
timm = ["timm"]
|
||||
tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
|
||||
torch = ["torch (>=1.7,!=1.12.0)"]
|
||||
torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
torchhub = ["filelock", "huggingface-hub (>=0.11.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf (<=3.20.2)", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "tqdm (>=4.27)"]
|
||||
video = ["decord (==0.6.0)"]
|
||||
vision = ["Pillow"]
|
||||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.4.0"
|
||||
version = "4.5.0"
|
||||
description = "Backported and Experimental Type Hints for Python 3.7+"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
|
||||
{file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
|
||||
{file = "typing_extensions-4.5.0-py3-none-any.whl", hash = "sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4"},
|
||||
{file = "typing_extensions-4.5.0.tar.gz", hash = "sha256:5cb5f4a79139d699607b3ef622a1dedafa84e115ab0024e0d9c044a9479ca7cb"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "urllib3"
|
||||
version = "1.26.14"
|
||||
description = "HTTP library with thread-safe connection pooling, file post, and more."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
|
||||
files = [
|
||||
{file = "urllib3-1.26.14-py2.py3-none-any.whl", hash = "sha256:75edcdc2f7d85b137124a6c3c9fc3933cdeaa12ecb9a6a959f22797a0feca7e1"},
|
||||
{file = "urllib3-1.26.14.tar.gz", hash = "sha256:076907bf8fd355cde77728471316625a4d2f7e713c125f51953bb5b3eecf4f72"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
|
||||
secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
|
||||
socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "websockets"
|
||||
version = "10.4"
|
||||
|
|
@ -1366,28 +809,20 @@ test = ["pytest (>=3.0.0)"]
|
|||
[[package]]
|
||||
name = "whisper"
|
||||
version = "1.0"
|
||||
description = "Robust Speech Recognition via Large-Scale Weak Supervision"
|
||||
description = ""
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = []
|
||||
develop = false
|
||||
|
||||
[package.dependencies]
|
||||
ffmpeg-python = "0.2.0"
|
||||
more-itertools = "*"
|
||||
numpy = "*"
|
||||
torch = "*"
|
||||
tqdm = "*"
|
||||
transformers = ">=4.19.0"
|
||||
|
||||
[package.extras]
|
||||
dev = ["pytest"]
|
||||
|
||||
[package.source]
|
||||
type = "git"
|
||||
url = "https://github.com/openai/whisper.git"
|
||||
reference = "fd8f80c8b880dd7c284c109ca7f03dbe978bc532"
|
||||
reference = 'fd8f80c8b880dd7c284c109ca7f03dbe978bc532'
|
||||
resolved_reference = "fd8f80c8b880dd7c284c109ca7f03dbe978bc532"
|
||||
|
||||
[metadata]
|
||||
|
|
|
|||
Loading…
Reference in a new issue