gpt-tts-ui / requirements.txt
hoonsubin's picture
fix torch install
f39a39a
# This file was autogenerated by uv via the following command:
# uv pip compile --output-file requirements.txt pyproject.toml
numpy==1.26.4
# via
# auralis
# blis
# datasets
# gguf
# gradio
# langid
# librosa
# mistral-common
# numba
# opencv-python-headless
# outlines
# pandas
# pyloudnorm
# scikit-learn
# scipy
# soundfile
# soxr
# spacy
# thinc
# torchvision
# transformers
# vllm
aiofiles==23.2.1
# via
# auralis
# gradio
aiohappyeyeballs==2.4.6
# via aiohttp
aiohttp==3.11.12
# via
# datasets
# fsspec
# vllm
aiosignal==1.3.2
# via
# aiohttp
# ray
annotated-types==0.7.0
# via pydantic
anyio==4.8.0
# via
# gradio
# httpx
# openai
# starlette
# watchfiles
asttokens==3.0.0
# via stack-data
async-timeout==5.0.1
# via aiohttp
attrs==25.1.0
# via
# aiohttp
# jsonschema
# referencing
audioread==3.0.1
# via librosa
auralis==0.2.8.post2
# via auralis-tts (pyproject.toml)
beautifulsoup4==4.13.3
# via
# auralis
# bs4
blis==0.7.11
# via thinc
bs4==0.0.2
# via auralis-tts (pyproject.toml)
bunkai==1.5.7
# via auralis-tts (pyproject.toml)
cachetools==5.5.2
# via auralis
catalogue==2.0.10
# via
# spacy
# srsly
# thinc
certifi==2025.1.31
# via
# httpcore
# httpx
# requests
cffi==1.17.1
# via
# cryptography
# sounddevice
# soundfile
charset-normalizer==3.4.1
# via
# pdfminer-six
# requests
click==8.1.8
# via
# ray
# typer
# uvicorn
cloudpathlib==0.20.0
# via weasel
cloudpickle==3.1.1
# via outlines
colorama==0.4.6
# via auralis
compressed-tensors==0.8.0
# via vllm
confection==0.1.5
# via
# thinc
# weasel
cryptography==44.0.1
# via pdfminer-six
cutlet==0.5.0
# via auralis
cymem==2.0.11
# via
# preshed
# spacy
# thinc
dataclasses-json==0.6.7
# via bunkai
datasets==2.14.4
# via outlines
decorator==5.2.1
# via
# ipython
# librosa
dill==0.3.7
# via
# datasets
# multiprocess
diskcache==5.6.3
# via outlines
distro==1.9.0
# via openai
docopt==0.6.2
# via num2words
ebooklib==0.18
# via auralis
einops==0.8.1
# via
# auralis
# vllm
emoji==2.14.1
# via bunkai
emojis==0.7.0
# via bunkai
exceptiongroup==1.2.2
# via
# anyio
# ipython
# pytest
executing==2.2.0
# via stack-data
fastapi==0.115.8
# via
# gradio
# vllm
ffmpeg==1.4
# via auralis
ffmpy==0.5.0
# via gradio
filelock==3.17.0
# via
# huggingface-hub
# ray
# torch
# transformers
# vllm
frozenlist==1.5.0
# via
# aiohttp
# aiosignal
# ray
fsspec==2025.2.0
# via
# auralis
# datasets
# gradio-client
# huggingface-hub
# torch
fugashi==1.4.0
# via cutlet
future==1.0.0
# via pyloudnorm
gguf==0.10.0
# via vllm
gradio==5.17.1
# via auralis-tts (pyproject.toml)
gradio-client==1.7.1
# via gradio
h11==0.14.0
# via
# httpcore
# uvicorn
hangul-romanize==0.1.0
# via auralis
httpcore==1.0.7
# via httpx
httptools==0.6.4
# via uvicorn
httpx==0.28.1
# via
# gradio
# gradio-client
# langsmith
# openai
# safehttpx
huggingface-hub==0.29.1
# via
# auralis
# datasets
# gradio
# gradio-client
# tokenizers
# transformers
idna==3.10
# via
# anyio
# httpx
# requests
# yarl
importlib-metadata==8.6.1
# via vllm
iniconfig==2.0.0
# via pytest
interegular==0.3.3
# via
# lm-format-enforcer
# outlines
ipython==8.32.0
# via auralis
jaconv==0.4.0
# via
# auralis-tts (pyproject.toml)
# cutlet
# yakinori
janome==0.5.0
# via bunkai
jedi==0.19.2
# via ipython
jinja2==3.1.5
# via
# gradio
# outlines
# spacy
# torch
jiter==0.8.2
# via openai
joblib==1.4.2
# via
# librosa
# scikit-learn
jsonpatch==1.33
# via langchain-core
jsonpointer==3.0.0
# via jsonpatch
jsonschema==4.23.0
# via
# mistral-common
# outlines
# ray
jsonschema-specifications==2024.10.1
# via jsonschema
langchain-core==0.3.37
# via langchain-text-splitters
langchain-text-splitters==0.3.6
# via auralis-tts (pyproject.toml)
langcodes==3.5.0
# via spacy
langid==1.1.6
# via auralis
langsmith==0.3.10
# via langchain-core
language-data==1.3.0
# via langcodes
lark==1.2.2
# via outlines
lazy-loader==0.4
# via librosa
librosa==0.10.2.post1
# via auralis
llvmlite==0.44.0
# via numba
lm-format-enforcer==0.10.10
# via vllm
lxml==5.3.1
# via ebooklib
marisa-trie==1.2.1
# via language-data
markdown==3.7
# via auralis-tts (pyproject.toml)
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via
# gradio
# jinja2
marshmallow==3.26.1
# via dataclasses-json
matplotlib-inline==0.1.7
# via ipython
mdurl==0.1.2
# via markdown-it-py
mecab-python3==1.0.10
# via yakinori
mistral-common==1.5.3
# via vllm
mojimoji==0.0.13
# via cutlet
more-itertools==10.6.0
# via bunkai
mpmath==1.3.0
# via sympy
msgpack==1.1.0
# via
# librosa
# ray
msgspec==0.19.0
# via vllm
multidict==6.1.0
# via
# aiohttp
# yarl
multiprocess==0.70.15
# via datasets
murmurhash==1.0.12
# via
# preshed
# spacy
# thinc
mypy-extensions==1.0.0
# via typing-inspect
nest-asyncio==1.6.0
# via
# auralis-tts (pyproject.toml)
# outlines
networkx==3.4.2
# via
# auralis
# torch
num2words==0.5.14
# via auralis
numba==0.61.0
# via
# librosa
# outlines
nvidia-ml-py==12.570.86
# via
# auralis
# vllm
openai==1.64.0
# via vllm
opencc==1.1.9
# via auralis
opencv-python-headless==4.11.0.86
# via mistral-common
orjson==3.10.15
# via
# gradio
# langsmith
outlines==0.0.46
# via vllm
packaging==24.2
# via
# auralis
# datasets
# gradio
# gradio-client
# huggingface-hub
# langchain-core
# lazy-loader
# lm-format-enforcer
# marshmallow
# pooch
# pytest
# ray
# spacy
# thinc
# transformers
# weasel
pandas==2.2.3
# via
# datasets
# gradio
parso==0.8.4
# via jedi
partial-json-parser==0.2.1.1.post5
# via vllm
pdfminer-six==20231228
# via pdfplumber
pdfplumber==0.11.5
# via auralis-tts (pyproject.toml)
pexpect==4.9.0
# via ipython
pillow==11.1.0
# via
# gradio
# mistral-common
# pdfplumber
# torchvision
# vllm
plac==1.4.3
# via unidic
platformdirs==4.3.6
# via pooch
pluggy==1.5.0
# via pytest
pooch==1.8.2
# via librosa
preshed==3.0.9
# via
# spacy
# thinc
prometheus-client==0.21.1
# via
# prometheus-fastapi-instrumentator
# vllm
prometheus-fastapi-instrumentator==7.0.2
# via vllm
prompt-toolkit==3.0.50
# via ipython
propcache==0.3.0
# via
# aiohttp
# yarl
protobuf==5.29.3
# via
# ray
# vllm
psutil==7.0.0
# via vllm
ptyprocess==0.7.0
# via pexpect
pure-eval==0.2.3
# via stack-data
py-cpuinfo==9.0.0
# via vllm
pyairports==2.1.1
# via outlines
pyarrow==19.0.1
# via datasets
pycountry==24.6.1
# via outlines
pycparser==2.22
# via cffi
pydantic==2.10.6
# via
# compressed-tensors
# confection
# fastapi
# gradio
# langchain-core
# langsmith
# lm-format-enforcer
# mistral-common
# openai
# outlines
# spacy
# thinc
# vllm
# weasel
pydantic-core==2.27.2
# via pydantic
pydub==0.25.1
# via gradio
pygments==2.19.1
# via
# ipython
# rich
pyloudnorm==0.1.1
# via auralis
pypdfium2==4.30.1
# via pdfplumber
pypinyin==0.53.0
# via auralis
pytest==8.3.4
# via auralis
python-dateutil==2.9.0.post0
# via pandas
python-dotenv==1.0.1
# via uvicorn
python-multipart==0.0.20
# via gradio
pytz==2025.1
# via pandas
pyyaml==6.0.2
# via
# datasets
# gguf
# gradio
# huggingface-hub
# langchain-core
# lm-format-enforcer
# ray
# transformers
# uvicorn
# vllm
pyzmq==26.2.1
# via vllm
ray==2.42.1
# via vllm
referencing==0.36.2
# via
# jsonschema
# jsonschema-specifications
# outlines
regex==2024.11.6
# via
# bunkai
# tiktoken
# transformers
requests==2.32.3
# via
# datasets
# huggingface-hub
# langsmith
# mistral-common
# outlines
# pooch
# ray
# requests-toolbelt
# spacy
# tiktoken
# transformers
# unidic
# vllm
# weasel
requests-toolbelt==1.0.0
# via langsmith
rich==13.9.4
# via typer
rpds-py==0.23.1
# via
# jsonschema
# referencing
ruff==0.9.7
# via gradio
safehttpx==0.1.6
# via gradio
safetensors==0.5.2
# via
# auralis
# transformers
scikit-learn==1.6.1
# via librosa
scipy==1.15.2
# via
# librosa
# pyloudnorm
# scikit-learn
semantic-version==2.10.0
# via gradio
sentencepiece==0.2.0
# via
# mistral-common
# vllm
setuptools==75.8.0
# via
# auralis
# marisa-trie
# spacy
# thinc
shellingham==1.5.4
# via typer
six==1.17.0
# via
# ebooklib
# python-dateutil
smart-open==7.1.0
# via weasel
sniffio==1.3.1
# via
# anyio
# openai
sounddevice==0.5.1
# via auralis
soundfile==0.13.1
# via
# auralis
# librosa
soupsieve==2.6
# via beautifulsoup4
soxr==0.5.0.post1
# via librosa
spacy==3.7.5
# via auralis
spacy-legacy==3.0.12
# via spacy
spacy-loggers==1.0.5
# via spacy
spans==1.1.1
# via bunkai
srsly==2.5.1
# via
# confection
# spacy
# thinc
# weasel
stack-data==0.6.3
# via ipython
starlette==0.45.3
# via
# fastapi
# gradio
# prometheus-fastapi-instrumentator
sudachidict-core==20250129
# via auralis-tts (pyproject.toml)
sudachipy==0.6.10
# via
# auralis-tts (pyproject.toml)
# sudachidict-core
sympy==1.13.1
# via torch
tenacity==9.0.0
# via langchain-core
thinc==8.2.5
# via spacy
threadpoolctl==3.5.0
# via scikit-learn
tiktoken==0.9.0
# via
# mistral-common
# vllm
tokenizers==0.21.0
# via
# auralis
# transformers
# vllm
toml==0.10.2
# via bunkai
tomli==2.2.1
# via pytest
tomlkit==0.13.2
# via gradio
tqdm==4.67.1
# via
# bunkai
# datasets
# gguf
# huggingface-hub
# openai
# outlines
# spacy
# transformers
# unidic
# vllm
traitlets==5.14.3
# via
# ipython
# matplotlib-inline
transformers==4.49.0
# via
# auralis
# compressed-tensors
# vllm
typer==0.15.1
# via
# gradio
# spacy
# weasel
typing-extensions==4.12.2
# via
# anyio
# beautifulsoup4
# cloudpathlib
# fastapi
# gradio
# gradio-client
# huggingface-hub
# ipython
# langchain-core
# librosa
# mistral-common
# multidict
# openai
# outlines
# pydantic
# pydantic-core
# referencing
# rich
# torch
# typer
# typing-inspect
# uvicorn
# vllm
typing-inspect==0.9.0
# via dataclasses-json
tzdata==2025.1
# via pandas
unidic==1.1.0
# via auralis-tts (pyproject.toml)
urllib3==2.3.0
# via requests
uvicorn==0.34.0
# via
# gradio
# vllm
uvloop==0.21.0
# via uvicorn
wasabi==0.10.1
# via
# spacy
# thinc
# unidic
# weasel
watchfiles==1.0.4
# via uvicorn
wcwidth==0.2.13
# via prompt-toolkit
weasel==0.4.1
# via spacy
websockets==14.2
# via
# gradio-client
# uvicorn
wrapt==1.17.2
# via smart-open
xxhash==3.5.0
# via datasets
yakinori==0.1.2
# via auralis-tts (pyproject.toml)
yarl==1.18.3
# via aiohttp
zipp==3.21.0
# via importlib-metadata
zstandard==0.23.0
# via langsmith