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CVPR2025
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# This file was autogenerated by uv via the following command:
#    uv pip compile pyproject.toml -o requirements.txt
aiofiles==24.1.0
    # via gradio
aiohappyeyeballs==2.6.1
    # via aiohttp
aiohttp==3.12.11
    # via fsspec
aiosignal==1.3.2
    # via aiohttp
annotated-types==0.7.0
    # via pydantic
anyio==4.9.0
    # via
    #   gradio
    #   httpx
    #   mcp
    #   sse-starlette
    #   starlette
async-timeout==5.0.1
    # via aiohttp
attrs==25.3.0
    # via aiohttp
certifi==2025.4.26
    # via
    #   httpcore
    #   httpx
    #   requests
charset-normalizer==3.4.2
    # via requests
click==8.2.1
    # via
    #   typer
    #   uvicorn
datasets==3.6.0
    # via cvpr2025 (pyproject.toml)
dill==0.3.8
    # via
    #   datasets
    #   multiprocess
exceptiongroup==1.3.0
    # via anyio
faiss-cpu==1.11.0
    # via cvpr2025 (pyproject.toml)
fastapi==0.115.12
    # via gradio
ffmpy==0.6.0
    # via gradio
filelock==3.18.0
    # via
    #   datasets
    #   huggingface-hub
    #   torch
    #   transformers
    #   triton
frozenlist==1.6.2
    # via
    #   aiohttp
    #   aiosignal
fsspec==2025.3.0
    # via
    #   datasets
    #   gradio-client
    #   huggingface-hub
    #   torch
gradio==5.33.1
    # via
    #   cvpr2025 (pyproject.toml)
    #   spaces
gradio-client==1.10.3
    # via gradio
groovy==0.1.2
    # via gradio
h11==0.16.0
    # via
    #   httpcore
    #   uvicorn
hf-transfer==0.1.9
    # via cvpr2025 (pyproject.toml)
hf-xet==1.1.3
    # via huggingface-hub
httpcore==1.0.9
    # via httpx
httpx==0.28.1
    # via
    #   gradio
    #   gradio-client
    #   mcp
    #   safehttpx
    #   spaces
httpx-sse==0.4.0
    # via mcp
huggingface-hub==0.32.4
    # via
    #   datasets
    #   gradio
    #   gradio-client
    #   sentence-transformers
    #   tokenizers
    #   transformers
idna==3.10
    # via
    #   anyio
    #   httpx
    #   requests
    #   yarl
jinja2==3.1.6
    # via
    #   gradio
    #   torch
joblib==1.5.1
    # via scikit-learn
loguru==0.7.3
    # via cvpr2025 (pyproject.toml)
markdown-it-py==3.0.0
    # via rich
markupsafe==3.0.2
    # via
    #   gradio
    #   jinja2
mcp==1.9.3
    # via gradio
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
multidict==6.4.4
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.16
    # via datasets
networkx==3.4.2
    # via torch
numpy==2.2.6
    # via
    #   datasets
    #   faiss-cpu
    #   gradio
    #   pandas
    #   scikit-learn
    #   scipy
    #   transformers
nvidia-cublas-cu12==12.1.3.1
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.1.105
    # via torch
nvidia-cuda-nvrtc-cu12==12.1.105
    # via torch
nvidia-cuda-runtime-cu12==12.1.105
    # via torch
nvidia-cudnn-cu12==9.1.0.70
    # via torch
nvidia-cufft-cu12==11.0.2.54
    # via torch
nvidia-curand-cu12==10.3.2.106
    # via torch
nvidia-cusolver-cu12==11.4.5.107
    # via torch
nvidia-cusparse-cu12==12.1.0.106
    # via
    #   nvidia-cusolver-cu12
    #   torch
nvidia-nccl-cu12==2.20.5
    # via torch
nvidia-nvjitlink-cu12==12.9.86
    # via
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
    # via torch
orjson==3.10.18
    # via gradio
packaging==25.0
    # via
    #   datasets
    #   faiss-cpu
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   spaces
    #   transformers
pandas==2.3.0
    # via
    #   datasets
    #   gradio
pillow==11.2.1
    # via
    #   gradio
    #   sentence-transformers
polars==1.30.0
    # via cvpr2025 (pyproject.toml)
propcache==0.3.1
    # via
    #   aiohttp
    #   yarl
psutil==5.9.8
    # via spaces
pyarrow==20.0.0
    # via datasets
pydantic==2.11.5
    # via
    #   fastapi
    #   gradio
    #   mcp
    #   pydantic-settings
    #   spaces
pydantic-core==2.33.2
    # via pydantic
pydantic-settings==2.9.1
    # via mcp
pydub==0.25.1
    # via gradio
pygments==2.19.1
    # via rich
python-dateutil==2.9.0.post0
    # via pandas
python-dotenv==1.1.0
    # via pydantic-settings
python-multipart==0.0.20
    # via
    #   gradio
    #   mcp
pytz==2025.2
    # via pandas
pyyaml==6.0.2
    # via
    #   datasets
    #   gradio
    #   huggingface-hub
    #   transformers
regex==2024.11.6
    # via transformers
requests==2.32.3
    # via
    #   datasets
    #   huggingface-hub
    #   spaces
    #   transformers
rich==14.0.0
    # via typer
ruff==0.11.13
    # via gradio
safehttpx==0.1.6
    # via gradio
safetensors==0.5.3
    # via transformers
scikit-learn==1.7.0
    # via sentence-transformers
scipy==1.15.3
    # via
    #   scikit-learn
    #   sentence-transformers
semantic-version==2.10.0
    # via gradio
sentence-transformers==4.1.0
    # via cvpr2025 (pyproject.toml)
shellingham==1.5.4
    # via typer
six==1.17.0
    # via python-dateutil
sniffio==1.3.1
    # via anyio
spaces==0.37.0
    # via cvpr2025 (pyproject.toml)
sse-starlette==2.3.6
    # via mcp
starlette==0.46.2
    # via
    #   fastapi
    #   gradio
    #   mcp
sympy==1.14.0
    # via torch
threadpoolctl==3.6.0
    # via scikit-learn
tokenizers==0.21.1
    # via transformers
tomlkit==0.13.3
    # via gradio
torch==2.4.0
    # via
    #   cvpr2025 (pyproject.toml)
    #   sentence-transformers
tqdm==4.67.1
    # via
    #   datasets
    #   huggingface-hub
    #   sentence-transformers
    #   transformers
transformers==4.52.4
    # via sentence-transformers
triton==3.0.0
    # via torch
typer==0.16.0
    # via gradio
typing-extensions==4.14.0
    # via
    #   anyio
    #   exceptiongroup
    #   fastapi
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   multidict
    #   pydantic
    #   pydantic-core
    #   rich
    #   sentence-transformers
    #   spaces
    #   torch
    #   typer
    #   typing-inspection
    #   uvicorn
typing-inspection==0.4.1
    # via
    #   pydantic
    #   pydantic-settings
tzdata==2025.2
    # via pandas
urllib3==2.4.0
    # via requests
uvicorn==0.34.3
    # via
    #   gradio
    #   mcp
websockets==15.0.1
    # via gradio-client
xxhash==3.5.0
    # via datasets
yarl==1.20.0
    # via aiohttp