# This file was autogenerated by uv via the following command:
#    uv pip compile requirements.in
aiofiles==24.1.0
    # via gradio
annotated-doc==0.0.4
    # via
    #   fastapi
    #   typer
annotated-types==0.7.0
    # via pydantic
anyio==4.12.1
    # via
    #   gradio
    #   httpx
    #   starlette
brotli==1.2.0
    # via gradio
certifi==2026.1.4
    # via
    #   httpcore
    #   httpx
click==8.3.1
    # via
    #   typer
    #   uvicorn
cuda-bindings==12.9.4
    # via torch
cuda-pathfinder==1.3.4
    # via cuda-bindings
fastapi==0.129.0
    # via gradio
ffmpy==1.0.0
    # via gradio
filelock==3.24.3
    # via
    #   huggingface-hub
    #   torch
fsspec==2026.2.0
    # via
    #   gradio-client
    #   huggingface-hub
    #   torch
gradio==6.6.0
    # via -r requirements.in
gradio-client==2.1.0
    # via gradio
groovy==0.1.2
    # via gradio
h11==0.16.0
    # via
    #   httpcore
    #   uvicorn
hf-xet==1.2.0
    # via huggingface-hub
httpcore==1.0.9
    # via httpx
httpx==0.28.1
    # via
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   safehttpx
huggingface-hub==1.4.1
    # via
    #   gradio
    #   gradio-client
    #   tokenizers
    #   transformers
idna==3.11
    # via
    #   anyio
    #   httpx
jinja2==3.1.6
    # via
    #   gradio
    #   torch
markdown-it-py==4.0.0
    # via rich
markupsafe==3.0.3
    # via
    #   gradio
    #   jinja2
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
networkx==3.6.1
    # via torch
numpy==2.4.2
    # via
    #   -r requirements.in
    #   gradio
    #   pandas
    #   transformers
nvidia-cublas-cu12==12.8.4.1
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.8.90
    # via torch
nvidia-cuda-nvrtc-cu12==12.8.93
    # via torch
nvidia-cuda-runtime-cu12==12.8.90
    # via torch
nvidia-cudnn-cu12==9.10.2.21
    # via torch
nvidia-cufft-cu12==11.3.3.83
    # via torch
nvidia-cufile-cu12==1.13.1.3
    # via torch
nvidia-curand-cu12==10.3.9.90
    # via torch
nvidia-cusolver-cu12==11.7.3.90
    # via torch
nvidia-cusparse-cu12==12.5.8.93
    # via
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cusparselt-cu12==0.7.1
    # via torch
nvidia-nccl-cu12==2.27.5
    # via torch
nvidia-nvjitlink-cu12==12.8.93
    # via
    #   nvidia-cufft-cu12
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
    #   torch
nvidia-nvshmem-cu12==3.4.5
    # via torch
nvidia-nvtx-cu12==12.8.90
    # via torch
orjson==3.11.7
    # via gradio
packaging==26.0
    # via
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   transformers
pandas==3.0.1
    # via
    #   -r requirements.in
    #   gradio
pillow==12.1.1
    # via gradio
pydantic==2.12.5
    # via
    #   fastapi
    #   gradio
pydantic-core==2.41.5
    # via pydantic
pydub==0.25.1
    # via gradio
pygments==2.19.2
    # via rich
python-dateutil==2.9.0.post0
    # via pandas
python-multipart==0.0.22
    # via gradio
pytz==2025.2
    # via gradio
pyyaml==6.0.3
    # via
    #   gradio
    #   huggingface-hub
    #   transformers
regex==2026.2.19
    # via transformers
rich==14.3.3
    # via typer
safehttpx==0.1.7
    # via gradio
safetensors==0.7.0
    # via transformers
semantic-version==2.10.0
    # via gradio
shellingham==1.5.4
    # via
    #   huggingface-hub
    #   typer
six==1.17.0
    # via python-dateutil
starlette==0.52.1
    # via
    #   fastapi
    #   gradio
sympy==1.14.0
    # via torch
tokenizers==0.22.2
    # via transformers
tomlkit==0.13.3
    # via gradio
torch==2.10.0
    # via -r requirements.in
tqdm==4.67.3
    # via
    #   huggingface-hub
    #   transformers
transformers==5.2.0
    # via -r requirements.in
triton==3.6.0
    # via torch
typer==0.24.0
    # via
    #   gradio
    #   typer-slim
typer-slim==0.24.0
    # via
    #   huggingface-hub
    #   transformers
typing-extensions==4.15.0
    # via
    #   anyio
    #   fastapi
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   pydantic
    #   pydantic-core
    #   starlette
    #   torch
    #   typing-inspection
typing-inspection==0.4.2
    # via
    #   fastapi
    #   pydantic
uvicorn==0.41.0
    # via gradio