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# 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