compare-codec / requirements.txt
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feat: add DAC codec implementation and codec registry
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--extra-index-url https://download.pytorch.org/whl/cpu
# This file was autogenerated by uv via the following command:
# uv export --format requirements-txt --no-hashes --no-emit-project
absl-py==2.4.0
# via tensorboard
annotated-doc==0.0.4
# via
# fastapi
# typer
annotated-types==0.7.0
# via pydantic
anyio==4.13.0
# via
# gradio
# httpx
# starlette
argbind==0.3.9
# via
# descript-audio-codec
# descript-audiotools
asttokens==3.0.1
# via stack-data
audioop-lts==0.2.2 ; python_full_version >= '3.13'
# via
# gradio
# standard-aifc
# standard-sunau
audioread==3.1.0
# via librosa
brotli==1.2.0
# via gradio
certifi==2026.2.25
# via
# httpcore
# httpx
# requests
cffi==2.0.0
# via soundfile
charset-normalizer==3.4.7
# via requests
click==8.3.2
# via
# typer
# uvicorn
colorama==0.4.6 ; sys_platform == 'win32'
# via
# click
# ipython
# tqdm
contourpy==1.3.3
# via matplotlib
cuda-bindings==13.2.0 ; sys_platform == 'linux'
# via torch
cuda-pathfinder==1.5.2 ; sys_platform == 'linux'
# via cuda-bindings
cuda-toolkit==13.0.2 ; sys_platform == 'linux'
# via torch
cycler==0.12.1
# via matplotlib
decorator==5.2.1
# via
# ipython
# librosa
descript-audio-codec==1.0.0
# via codec-arena
descript-audiotools==0.7.2
# via descript-audio-codec
docstring-parser==0.17.0
# via argbind
einops==0.8.2
# via descript-audio-codec
executing==2.2.1
# via stack-data
fastapi==0.135.3
# via gradio
ffmpy==1.0.0
# via descript-audiotools
filelock==3.25.2
# via
# huggingface-hub
# torch
fire==0.7.1
# via randomname
flatten-dict==0.4.2
# via descript-audiotools
fonttools==4.62.1
# via matplotlib
fsspec==2026.3.0
# via
# gradio-client
# huggingface-hub
# torch
gradio==6.12.0
# via codec-arena
gradio-client==2.4.1
# via
# gradio
# hf-gradio
groovy==0.1.2
# via gradio
grpcio==1.80.0
# via tensorboard
h11==0.16.0
# via
# httpcore
# uvicorn
hf-gradio==0.3.0
# via gradio
hf-xet==1.4.3 ; platform_machine == 'AMD64' or platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
# via huggingface-hub
httpcore==1.0.9
# via httpx
httpx==0.28.1
# via
# gradio
# gradio-client
# huggingface-hub
# safehttpx
huggingface-hub==1.10.1
# via
# gradio
# gradio-client
idna==3.11
# via
# anyio
# httpx
# requests
importlib-resources==7.1.0
# via descript-audiotools
ipython==9.12.0
# via descript-audiotools
ipython-pygments-lexers==1.1.1
# via ipython
jedi==0.19.2
# via ipython
jinja2==3.1.6
# via
# gradio
# torch
joblib==1.5.3
# via
# librosa
# scikit-learn
julius==0.2.7
# via descript-audiotools
kiwisolver==1.5.0
# via matplotlib
lazy-loader==0.5
# via librosa
librosa==0.11.0
# via descript-audiotools
llvmlite==0.47.0
# via numba
markdown==3.10.2
# via tensorboard
markdown-it-py==4.0.0
# via rich
markdown2==2.5.5
# via descript-audiotools
markupsafe==3.0.3
# via
# gradio
# jinja2
# werkzeug
matplotlib==3.10.8
# via descript-audiotools
matplotlib-inline==0.2.1
# via ipython
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
msgpack==1.1.2
# via librosa
networkx==3.6.1
# via torch
numba==0.65.0
# via librosa
numpy==2.4.4
# via
# codec-arena
# contourpy
# descript-audio-codec
# descript-audiotools
# gradio
# librosa
# matplotlib
# numba
# pandas
# pyloudnorm
# pystoi
# scikit-learn
# scipy
# soundfile
# soxr
# tensorboard
# torch-stoi
nvidia-cublas==13.1.0.3 ; sys_platform == 'linux'
# via
# cuda-toolkit
# nvidia-cudnn-cu13
# nvidia-cusolver
nvidia-cuda-cupti==13.0.85 ; sys_platform == 'linux'
# via cuda-toolkit
nvidia-cuda-nvrtc==13.0.88 ; sys_platform == 'linux'
# via cuda-toolkit
nvidia-cuda-runtime==13.0.96 ; sys_platform == 'linux'
# via cuda-toolkit
nvidia-cudnn-cu13==9.19.0.56 ; sys_platform == 'linux'
# via torch
nvidia-cufft==12.0.0.61 ; sys_platform == 'linux'
# via cuda-toolkit
nvidia-cufile==1.15.1.6 ; sys_platform == 'linux'
# via cuda-toolkit
nvidia-curand==10.4.0.35 ; sys_platform == 'linux'
# via cuda-toolkit
nvidia-cusolver==12.0.4.66 ; sys_platform == 'linux'
# via cuda-toolkit
nvidia-cusparse==12.6.3.3 ; sys_platform == 'linux'
# via
# cuda-toolkit
# nvidia-cusolver
nvidia-cusparselt-cu13==0.8.0 ; sys_platform == 'linux'
# via torch
nvidia-nccl-cu13==2.28.9 ; sys_platform == 'linux'
# via torch
nvidia-nvjitlink==13.0.88 ; sys_platform == 'linux'
# via
# cuda-toolkit
# nvidia-cufft
# nvidia-cusolver
# nvidia-cusparse
nvidia-nvshmem-cu13==3.4.5 ; sys_platform == 'linux'
# via torch
nvidia-nvtx==13.0.85 ; sys_platform == 'linux'
# via cuda-toolkit
orjson==3.11.8
# via gradio
packaging==26.0
# via
# gradio
# gradio-client
# huggingface-hub
# lazy-loader
# matplotlib
# pooch
# tensorboard
pandas==3.0.2
# via gradio
parso==0.8.6
# via jedi
pexpect==4.9.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
# via ipython
pillow==12.2.0
# via
# gradio
# matplotlib
# tensorboard
platformdirs==4.9.6
# via pooch
pooch==1.9.0
# via librosa
prompt-toolkit==3.0.52
# via ipython
protobuf==3.19.6
# via
# descript-audiotools
# tensorboard
ptyprocess==0.7.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
# via pexpect
pure-eval==0.2.3
# via stack-data
pycparser==3.0 ; implementation_name != 'PyPy'
# via cffi
pydantic==2.12.5
# via
# fastapi
# gradio
pydantic-core==2.41.5
# via pydantic
pydub==0.25.1
# via gradio
pygments==2.20.0
# via
# ipython
# ipython-pygments-lexers
# rich
pyloudnorm==0.2.0
# via descript-audiotools
pyparsing==3.3.2
# via matplotlib
pystoi==0.4.1
# via
# descript-audiotools
# torch-stoi
python-dateutil==2.9.0.post0
# via
# matplotlib
# pandas
python-multipart==0.0.26
# via gradio
pytz==2026.1.post1
# via gradio
pyyaml==6.0.3
# via
# argbind
# gradio
# huggingface-hub
randomname==0.2.1
# via descript-audiotools
requests==2.33.1
# via pooch
rich==14.3.4
# via
# descript-audiotools
# typer
safehttpx==0.1.7
# via gradio
scikit-learn==1.8.0
# via librosa
scipy==1.17.1
# via
# descript-audiotools
# librosa
# pyloudnorm
# pystoi
# scikit-learn
semantic-version==2.10.0
# via gradio
setuptools==81.0.0
# via
# tensorboard
# torch
shellingham==1.5.4
# via typer
six==1.17.0
# via
# flatten-dict
# python-dateutil
soundfile==0.13.1
# via
# descript-audiotools
# librosa
soxr==1.0.0
# via librosa
stack-data==0.6.3
# via ipython
standard-aifc==3.13.0 ; python_full_version >= '3.13'
# via
# audioread
# librosa
standard-chunk==3.13.0 ; python_full_version >= '3.13'
# via standard-aifc
standard-sunau==3.13.0 ; python_full_version >= '3.13'
# via
# audioread
# librosa
starlette==1.0.0
# via
# fastapi
# gradio
sympy==1.14.0
# via torch
tensorboard==2.20.0
# via descript-audiotools
tensorboard-data-server==0.7.2
# via tensorboard
termcolor==3.3.0
# via fire
threadpoolctl==3.6.0
# via scikit-learn
tomlkit==0.14.0
# via gradio
torch==2.11.0
# via
# descript-audio-codec
# descript-audiotools
# julius
# torch-stoi
torch-stoi==0.2.3
# via descript-audiotools
torchaudio==2.11.0
# via
# descript-audio-codec
# descript-audiotools
# torch-stoi
tqdm==4.67.3
# via
# descript-audio-codec
# descript-audiotools
# huggingface-hub
traitlets==5.14.3
# via
# ipython
# matplotlib-inline
triton==3.6.0 ; sys_platform == 'linux'
# via torch
typer==0.24.1
# via
# gradio
# hf-gradio
# huggingface-hub
typing-extensions==4.15.0
# via
# anyio
# fastapi
# gradio
# gradio-client
# grpcio
# huggingface-hub
# librosa
# pydantic
# pydantic-core
# starlette
# torch
# typing-inspection
typing-inspection==0.4.2
# via
# fastapi
# pydantic
tzdata==2026.1 ; sys_platform == 'emscripten' or sys_platform == 'win32'
# via pandas
urllib3==2.6.3
# via requests
uvicorn==0.44.0
# via gradio
wcwidth==0.6.0
# via prompt-toolkit
werkzeug==3.1.8
# via tensorboard