gemma-3n / requirements.txt
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first draft
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# This file was autogenerated by uv via the following command:
# uv pip compile pyproject.toml -o requirements.txt
accelerate==1.8.1
# via gemma-3n-e4b-it (pyproject.toml)
aiofiles==24.1.0
# via gradio
annotated-types==0.7.0
# via pydantic
anyio==4.9.0
# via
# gradio
# httpx
# starlette
audioread==3.0.1
# via librosa
av==14.4.0
# via gemma-3n-e4b-it (pyproject.toml)
certifi==2025.6.15
# 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==0.115.13
# via gradio
ffmpy==0.6.0
# via gradio
filelock==3.18.0
# via
# huggingface-hub
# torch
# transformers
# triton
fsspec==2025.5.1
# via
# gradio-client
# huggingface-hub
# torch
gradio==5.34.2
# via
# gemma-3n-e4b-it (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 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==0.33.0
# 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==3.10.18
# via gradio
packaging==25.0
# via
# accelerate
# gradio
# gradio-client
# huggingface-hub
# lazy-loader
# pooch
# spaces
# transformers
pandas==2.3.0
# via gradio
pillow==11.2.1
# 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==2024.11.6
# via transformers
requests==2.32.4
# via
# huggingface-hub
# pooch
# spaces
# transformers
rich==14.0.0
# via typer
ruff==0.12.0
# via gradio
safehttpx==0.1.6
# via gradio
safetensors==0.5.3
# via
# accelerate
# timm
# transformers
scikit-learn==1.7.0
# 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==0.37.1
# via gemma-3n-e4b-it (pyproject.toml)
starlette==0.46.2
# via
# fastapi
# gradio
sympy==1.13.1
# via torch
threadpoolctl==3.6.0
# via scikit-learn
timm==1.0.16
# via gemma-3n-e4b-it (pyproject.toml)
tokenizers==0.21.2
# 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==4.53.0
# via gemma-3n-e4b-it (pyproject.toml)
triton==3.1.0
# via torch
typer==0.16.0
# via gradio
typing-extensions==4.14.0
# via
# anyio
# exceptiongroup
# fastapi
# gradio
# gradio-client
# huggingface-hub
# librosa
# pydantic
# pydantic-core
# rich
# spaces
# torch
# typer
# typing-inspection
# uvicorn
typing-inspection==0.4.1
# via pydantic
tzdata==2025.2
# via pandas
urllib3==2.5.0
# via requests
uvicorn==0.34.3
# via gradio
websockets==15.0.1
# via gradio-client
fastrtc[vad]