--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