# This file was autogenerated by uv via the following command:
#    uv pip compile requirements.in -o requirements.txt
absl-py==2.1.0
    # via tensorboard
accelerate==1.1.0
    # via -r requirements.in
aiofiles==23.2.1
    # via gradio
aiohappyeyeballs==2.4.3
    # via aiohttp
aiohttp==3.10.10
    # via
    #   datasets
    #   fsspec
aiosignal==1.3.1
    # via aiohttp
annotated-types==0.7.0
    # via pydantic
antlr4-python3-runtime==4.9.3
    # via omegaconf
anyio==3.7.1
    # via
    #   gradio
    #   httpx
    #   starlette
asgiref==3.8.1
    # via uvicorn
astroid==3.3.6
    # via -r requirements.in
attrs==24.2.0
    # via aiohttp
audioread==3.0.1
    # via librosa
beautifulsoup4==4.12.3
    # via bs4
bs4==0.0.1
    # via -r requirements.in
cachetools==5.5.0
    # via
    #   -r requirements.in
    #   google-auth
certifi==2024.8.30
    # via
    #   httpcore
    #   httpx
    #   requests
cffi==1.17.1
    # via soundfile
charset-normalizer==2.0.12
    # via requests
click==8.1.7
    # via
    #   -r requirements.in
    #   nltk
    #   typer
    #   uvicorn
colorama==0.4.3
    # via -r requirements.in
datasets==2.19.1
    # via -r requirements.in
decorator==5.1.1
    # via librosa
dill==0.3.7
    # via
    #   datasets
    #   multiprocess
einops==0.8.0
    # via
    #   -r requirements.in
    #   flash-attn
fastapi==0.109.2
    # via
    #   -r requirements.in
    #   gradio
ffmpeg-python==0.2.0
    # via -r requirements.in
ffmpy==0.4.0
    # via gradio
filelock==3.16.1
    # via
    #   datasets
    #   huggingface-hub
    #   torch
    #   transformers
    #   triton
flash-attn==2.7.2.post1
    # via -r requirements.in
frozenlist==1.5.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2024.3.1
    # via
    #   datasets
    #   gradio-client
    #   huggingface-hub
    #   pytorch-lightning
    #   torch
ftfy==6.3.1
    # via -r requirements.in
future==1.0.0
    # via ffmpeg-python
google-api-core==2.24.0
    # via
    #   -r requirements.in
    #   google-api-python-client
    #   google-cloud-core
    #   google-cloud-datastore
    #   google-cloud-ndb
    #   google-cloud-storage
google-api-python-client==2.43.0
    # via -r requirements.in
google-auth==2.36.0
    # via
    #   google-api-core
    #   google-api-python-client
    #   google-auth-httplib2
    #   google-cloud-core
    #   google-cloud-datastore
    #   google-cloud-storage
google-auth-httplib2==0.2.0
    # via google-api-python-client
google-cloud-core==2.3.1
    # via
    #   google-cloud-datastore
    #   google-cloud-storage
google-cloud-datastore==2.20.1
    # via google-cloud-ndb
google-cloud-ndb==2.3.2
    # via -r requirements.in
google-cloud-storage==2.3.0
    # via -r requirements.in
google-crc32c==1.6.0
    # via google-resumable-media
google-resumable-media==2.7.2
    # via google-cloud-storage
googleapis-common-protos==1.65.0
    # via
    #   google-api-core
    #   grpcio-status
gradio==5.1.0
    # via -r requirements.in
gradio-client==1.4.0
    # via gradio
grpcio==1.67.1
    # via
    #   google-api-core
    #   grpcio-status
    #   tensorboard
grpcio-status==1.67.1
    # via google-api-core
gunicorn==20.1.0
    # via -r requirements.in
h11==0.14.0
    # via
    #   -r requirements.in
    #   httpcore
    #   uvicorn
httpcore==1.0.7
    # via
    #   -r requirements.in
    #   httpx
httplib2==0.22.0
    # via
    #   google-api-python-client
    #   google-auth-httplib2
httpx==0.28.1
    # via
    #   -r requirements.in
    #   gradio
    #   gradio-client
huggingface-hub==0.26.2
    # via
    #   accelerate
    #   datasets
    #   gradio
    #   gradio-client
    #   tokenizers
    #   transformers
idna==3.10
    # via
    #   anyio
    #   httpx
    #   requests
    #   yarl
iniconfig==2.0.0
    # via pytest
isort==5.13.2
    # via -r requirements.in
jinja2==3.1.1
    # via
    #   -r requirements.in
    #   gradio
    #   torch
joblib==1.4.2
    # via
    #   librosa
    #   nltk
    #   scikit-learn
lazy-loader==0.4
    # via librosa
lazy-object-proxy==1.4.3
    # via -r requirements.in
librosa==0.10.2.post1
    # via -r requirements.in
lightning-utilities==0.11.8
    # via
    #   pytorch-lightning
    #   torchmetrics
llvmlite==0.43.0
    # via numba
loguru==0.7.3
    # via -r requirements.in
markdown==3.7
    # via tensorboard
markdown-it-py==2.2.0
    # via rich
markupsafe==2.1.5
    # via
    #   gradio
    #   jinja2
    #   werkzeug
mccabe==0.6.1
    # via -r requirements.in
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
msgpack==1.1.0
    # via librosa
multidict==6.1.0
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.15
    # via datasets
networkx==3.4.2
    # via torch
nltk==3.9.1
    # via -r requirements.in
numba==0.60.0
    # via librosa
numpy==1.26.4
    # via
    #   -r requirements.in
    #   accelerate
    #   datasets
    #   gradio
    #   librosa
    #   numba
    #   opencv-python
    #   pandas
    #   scikit-learn
    #   scipy
    #   soxr
    #   tensorboard
    #   torchmetrics
    #   torchvision
    #   transformers
nvidia-cublas-cu12==12.4.5.8
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.4.127
    # via torch
nvidia-cuda-nvrtc-cu12==12.4.127
    # via torch
nvidia-cuda-runtime-cu12==12.4.127
    # via torch
nvidia-cudnn-cu12==9.1.0.70
    # via torch
nvidia-cufft-cu12==11.2.1.3
    # via torch
nvidia-curand-cu12==10.3.5.147
    # via torch
nvidia-cusolver-cu12==11.6.1.9
    # via torch
nvidia-cusparse-cu12==12.3.1.170
    # via
    #   nvidia-cusolver-cu12
    #   torch
nvidia-nccl-cu12==2.21.5
    # via torch
nvidia-nvjitlink-cu12==12.4.127
    # via
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
    #   torch
nvidia-nvtx-cu12==12.4.127
    # via torch
omegaconf==2.3.0
    # via -r requirements.in
opencv-python==4.10.0.84
    # via -r requirements.in
orjson==3.10.11
    # via gradio
packaging==24.1
    # via
    #   accelerate
    #   datasets
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   lazy-loader
    #   lightning-utilities
    #   pooch
    #   pytesseract
    #   pytest
    #   pytorch-lightning
    #   tensorboard
    #   torchmetrics
    #   transformers
pandas==2.2.3
    # via
    #   -r requirements.in
    #   datasets
    #   gradio
pillow==10.4.0
    # via
    #   -r requirements.in
    #   gradio
    #   pytesseract
    #   torchvision
platformdirs==4.3.6
    # via pooch
pluggy==1.5.0
    # via pytest
pooch==1.8.2
    # via librosa
propcache==0.2.0
    # via yarl
proto-plus==1.25.0
    # via
    #   google-api-core
    #   google-cloud-datastore
protobuf==5.28.3
    # via
    #   google-api-core
    #   google-cloud-datastore
    #   google-cloud-ndb
    #   google-cloud-storage
    #   googleapis-common-protos
    #   grpcio-status
    #   proto-plus
    #   tensorboard
psutil==6.1.0
    # via accelerate
pyarrow==18.0.0
    # via datasets
pyarrow-hotfix==0.6
    # via datasets
pyasn1==0.6.1
    # via
    #   pyasn1-modules
    #   rsa
pyasn1-modules==0.4.1
    # via google-auth
pycparser==2.22
    # via cffi
pydantic==2.6.1
    # via
    #   -r requirements.in
    #   fastapi
    #   gradio
pydantic-core==2.16.2
    # via pydantic
pydub==0.25.1
    # via gradio
pygments==2.18.0
    # via rich
pymemcache==4.0.0
    # via google-cloud-ndb
pyparsing==3.2.0
    # via httplib2
pypdf2==3.0.1
    # via -r requirements.in
pytesseract==0.3.10
    # via -r requirements.in
pytest==8.3.4
    # via -r requirements.in
python-dateutil==2.9.0.post0
    # via
    #   -r requirements.in
    #   pandas
python-multipart==0.0.19
    # via
    #   -r requirements.in
    #   gradio
pytorch-lightning==2.4.0
    # via -r requirements.in
pytz==2024.2
    # via
    #   google-cloud-ndb
    #   pandas
pyyaml==6.0.2
    # via
    #   accelerate
    #   datasets
    #   gradio
    #   huggingface-hub
    #   omegaconf
    #   pytorch-lightning
    #   transformers
redis==5.2.0
    # via google-cloud-ndb
regex==2024.9.11
    # via
    #   nltk
    #   transformers
requests==2.27.1
    # via
    #   -r requirements.in
    #   datasets
    #   google-api-core
    #   google-cloud-storage
    #   huggingface-hub
    #   pooch
    #   requests-futures
    #   stripe
    #   transformers
requests-futures==1.0.0
    # via -r requirements.in
rich==13.9.4
    # via typer
rsa==4.9
    # via google-auth
ruff==0.8.2
    # via gradio
safetensors==0.4.5
    # via
    #   accelerate
    #   transformers
scikit-learn==1.5.2
    # via librosa
scipy==1.13.1
    # via
    #   librosa
    #   scikit-learn
semantic-version==2.10.0
    # via gradio
sentencepiece==0.2.0
    # via -r requirements.in
setuptools==75.6.0
    # via
    #   -r requirements.in
    #   gunicorn
    #   lightning-utilities
    #   tensorboard
    #   torch
shellingham==1.5.4
    # via typer
six==1.17.0
    # via
    #   -r requirements.in
    #   python-dateutil
    #   tensorboard
    #   whisper
sniffio==1.3.1
    # via anyio
soundfile==0.12.1
    # via librosa
soupsieve==2.6
    # via beautifulsoup4
soxr==0.5.0.post1
    # via librosa
starlette==0.36.3
    # via
    #   -r requirements.in
    #   fastapi
stripe==11.3.0
    # via -r requirements.in
sympy==1.13.1
    # via torch
tensorboard==2.18.0
    # via -r requirements.in
tensorboard-data-server==0.7.2
    # via tensorboard
threadpoolctl==3.5.0
    # via scikit-learn
tokenizers==0.21.0
    # via
    #   -r requirements.in
    #   transformers
tomlkit==0.12.0
    # via gradio
torch==2.5.1
    # via
    #   -r requirements.in
    #   accelerate
    #   flash-attn
    #   pytorch-lightning
    #   torchaudio
    #   torchmetrics
    #   torchvision
torchaudio==2.5.1
    # via -r requirements.in
torchmetrics==1.5.1
    # via pytorch-lightning
torchvision==0.20.1
    # via -r requirements.in
tqdm==4.66.6
    # via
    #   datasets
    #   huggingface-hub
    #   nltk
    #   pytorch-lightning
    #   transformers
transformers==4.47.0
    # via -r requirements.in
triton==3.1.0
    # via
    #   -r requirements.in
    #   torch
typer==0.15.1
    # via gradio
typing-extensions==4.12.2
    # via
    #   fastapi
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   librosa
    #   lightning-utilities
    #   pydantic
    #   pydantic-core
    #   pytorch-lightning
    #   stripe
    #   torch
    #   typer
tzdata==2024.2
    # via pandas
uritemplate==4.1.1
    # via google-api-python-client
urllib3==1.26.20
    # via requests
uvicorn==0.17.0
    # via
    #   -r requirements.in
    #   gradio
wcwidth==0.2.13
    # via ftfy
websockets==12.0
    # via gradio-client
werkzeug==3.1.2
    # via tensorboard
whisper==1.1.10
    # via -r requirements.in
wrapt==1.17.0
    # via -r requirements.in
xxhash==3.5.0
    # via datasets
yarl==1.17.1
    # via aiohttp
youtube-dl==2021.12.17
    # via -r requirements.in
