requirements.txt

# This file was autogenerated by uv via the following command:
#    uv pip compile pyproject.toml -o requirements.txt
accelerate==1.9.0
    # via gemma-3n-e4b-it (pyproject.toml)
aiofiles==24.1.0
    # via gradio
annotated-types==0.7.0
    # via pydantic
anyio==4.10.0
    # via
    #   gradio
    #   httpx
    #   starlette
audioread==3.0.1
    # via librosa
av==15.0.0
    # via gemma-3n-e4b-it (pyproject.toml)
brotli==1.1.0
    # via gradio
certifi==2025.8.3
    # via
    #   httpcore
    #   httpx
    #   requests
cffi==1.17.1
    # via soundfile
charset-normalizer==3.4.2
    # via requests
click==8.2.1
    # via
    #   typer
    #   uvicorn
decorator==5.2.1
    # via librosa
exceptiongroup==1.3.0
    # via anyio
fastapi==0.116.1
    # via gradio
ffmpy==0.6.1
    # via gradio
filelock==3.18.0
    # via
    #   huggingface-hub
    #   torch
    #   transformers
    #   triton
fsspec==2025.7.0
    # via
    #   gradio-client
    #   huggingface-hub
    #   torch
gradio==5.40.0
    # via
    #   gemma-3n-e4b-it (pyproject.toml)
    #   spaces
gradio-client==1.11.0
    # via gradio
groovy==0.1.2
    # via gradio
h11==0.16.0
    # via
    #   httpcore
    #   uvicorn
hf-transfer==0.1.9
    # via gemma-3n-e4b-it (pyproject.toml)
hf-xet==1.1.5
    # via huggingface-hub
httpcore==1.0.9
    # via httpx
httpx==0.28.1
    # via
    #   gradio
    #   gradio-client
    #   safehttpx
    #   spaces
huggingface-hub==0.34.3
    # via
    #   accelerate
    #   gradio
    #   gradio-client
    #   timm
    #   tokenizers
    #   transformers
idna==3.10
    # via
    #   anyio
    #   httpx
    #   requests
jinja2==3.1.6
    # via
    #   gradio
    #   torch
joblib==1.5.1
    # via
    #   librosa
    #   scikit-learn
lazy-loader==0.4
    # via librosa
librosa==0.11.0
    # via gemma-3n-e4b-it (pyproject.toml)
llvmlite==0.44.0
    # via numba
markdown-it-py==3.0.0
    # via rich
markupsafe==3.0.2
    # via
    #   gradio
    #   jinja2
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
msgpack==1.1.1
    # via librosa
networkx==3.4.2
    # via torch
numba==0.61.2
    # via librosa
numpy==2.2.6
    # via
    #   accelerate
    #   gradio
    #   librosa
    #   numba
    #   pandas
    #   scikit-learn
    #   scipy
    #   soundfile
    #   soxr
    #   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
orjson==3.11.1
    # via gradio
packaging==25.0
    # via
    #   accelerate
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   lazy-loader
    #   pooch
    #   spaces
    #   transformers
pandas==2.3.1
    # via gradio
pillow==11.3.0
    # via
    #   gradio
    #   torchvision
platformdirs==4.3.8
    # via pooch
pooch==1.8.2
    # via librosa
psutil==5.9.8
    # via
    #   accelerate
    #   spaces
pycparser==2.22
    # via cffi
pydantic==2.11.7
    # via
    #   fastapi
    #   gradio
    #   spaces
pydantic-core==2.33.2
    # via pydantic
pydub==0.25.1
    # via gradio
pygments==2.19.2
    # via rich
python-dateutil==2.9.0.post0
    # via pandas
python-multipart==0.0.20
    # via gradio
pytz==2025.2
    # via pandas
pyyaml==6.0.2
    # via
    #   accelerate
    #   gradio
    #   huggingface-hub
    #   timm
    #   transformers
regex==2025.7.34
    # via transformers
requests==2.32.4
    # via
    #   huggingface-hub
    #   pooch
    #   spaces
    #   transformers
rich==14.1.0
    # via typer
ruff==0.12.7
    # via gradio
safehttpx==0.1.6
    # via gradio
safetensors==0.5.3
    # via
    #   accelerate
    #   timm
    #   transformers
scikit-learn==1.7.1
    # via librosa
scipy==1.15.3
    # via
    #   librosa
    #   scikit-learn
semantic-version==2.10.0
    # via gradio
shellingham==1.5.4
    # via typer
six==1.17.0
    # via python-dateutil
sniffio==1.3.1
    # via anyio
soundfile==0.13.1
    # via librosa
soxr==0.5.0.post1
    # via librosa
spaces==0.39.0
    # via gemma-3n-e4b-it (pyproject.toml)
starlette==0.47.2
    # via
    #   fastapi
    #   gradio
sympy==1.13.1
    # via torch
threadpoolctl==3.6.0
    # via scikit-learn
timm==1.0.19
    # via gemma-3n-e4b-it (pyproject.toml)
tokenizers==0.21.4
    # via transformers
tomlkit==0.13.3
    # via gradio
torch==2.5.1
    # via
    #   gemma-3n-e4b-it (pyproject.toml)
    #   accelerate
    #   timm
    #   torchvision
torchvision==0.20.1
    # via
    #   gemma-3n-e4b-it (pyproject.toml)
    #   timm
tqdm==4.67.1
    # via
    #   huggingface-hub
    #   transformers
transformers==4.54.1
    # via gemma-3n-e4b-it (pyproject.toml)
triton==3.1.0
    # via torch
typer==0.16.0
    # via gradio
typing-extensions==4.14.1
    # via
    #   anyio
    #   exceptiongroup
    #   fastapi
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   librosa
    #   pydantic
    #   pydantic-core
    #   spaces
    #   starlette
    #   torch
    #   typer
    #   typing-inspection
    #   uvicorn
typing-inspection==0.4.1
    # via pydantic
tzdata==2025.2
    # via pandas
urllib3==2.5.0
    # via requests
uvicorn==0.35.0
    # via gradio
websockets==15.0.1
    # via gradio-client