requirements.lock

# generated by rye
# use `rye lock` or `rye sync` to update this lockfile
#
# last locked with the following flags:
#   pre: false
#   features: []
#   all-features: false
#   with-sources: false
#   generate-hashes: false
#   universal: true

-e file:.
absl-py==2.1.0
    # via tensorboard
aiofiles==23.2.1
    # via gradio
aiohappyeyeballs==2.3.5
    # via aiohttp
aiohttp==3.10.2
    # via fsspec
aiosignal==1.3.1
    # via aiohttp
alembic==1.13.2
    # via optuna
annotated-types==0.7.0
    # via pydantic
antlr4-python3-runtime==4.9.3
    # via hydra-core
    # via omegaconf
anyio==4.4.0
    # via gradio
    # via httpx
    # via jupyter-server
    # via starlette
appnope==0.1.4 ; platform_system == 'Darwin'
    # via ipykernel
apprise==1.9.0
    # via torchutil
argon2-cffi==23.1.0
    # via jupyter-server
argon2-cffi-bindings==21.2.0
    # via argon2-cffi
arrow==1.3.0
    # via isoduration
asttokens==2.4.1
    # via stack-data
async-lru==2.0.4
    # via jupyterlab
async-timeout==4.0.3 ; python_full_version < '3.11'
    # via aiohttp
attrs==24.2.0
    # via aiohttp
    # via cmd2
    # via jsonschema
    # via referencing
audioread==3.0.1
    # via librosa
autopage==0.5.2
    # via cliff
babel==2.16.0
    # via jupyterlab-server
beautifulsoup4==4.12.3
    # via gdown
    # via nbconvert
bleach==6.1.0
    # via nbconvert
certifi==2024.7.4
    # via apprise
    # via httpcore
    # via httpx
    # via requests
cffi==1.17.0
    # via argon2-cffi-bindings
    # via pyzmq
    # via soundfile
cfgv==3.4.0
    # via pre-commit
charset-normalizer==3.3.2
    # via requests
click==8.1.7
    # via apprise
    # via typer
    # via uvicorn
cliff==4.7.0
    # via optuna
cmaes==0.11.0
    # via optuna
cmd2==2.4.3
    # via cliff
colorama==0.4.6 ; sys_platform == 'win32' or platform_system == 'Windows'
    # via click
    # via colorlog
    # via ipython
    # via pytest
    # via tqdm
coloredlogs==15.0.1
    # via onnxruntime
colorlog==6.8.2
    # via hydra-colorlog
    # via optuna
comm==0.2.2
    # via ipykernel
    # via ipywidgets
contourpy==1.2.1
    # via matplotlib
cycler==0.12.1
    # via matplotlib
cython==3.0.11
    # via optispeech
    # via pyworld
debugpy==1.8.5
    # via ipykernel
decorator==5.1.1
    # via ipython
    # via librosa
defusedxml==0.7.1
    # via nbconvert
distlib==0.3.8
    # via virtualenv
einops==0.8.0
    # via optispeech
exceptiongroup==1.2.2 ; python_full_version < '3.11'
    # via anyio
    # via ipython
    # via pytest
executing==2.0.1
    # via stack-data
fastapi==0.112.0
    # via gradio
fastjsonschema==2.20.0
    # via nbformat
ffmpy==0.4.0
    # via gradio
filelock==3.15.4
    # via gdown
    # via huggingface-hub
    # via torch
    # via transformers
    # via triton
    # via virtualenv
    # via yapecs
flatbuffers==24.3.25
    # via onnxruntime
fonttools==4.53.1
    # via matplotlib
fqdn==1.5.1
    # via jsonschema
frozenlist==1.4.1
    # via aiohttp
    # via aiosignal
fsspec==2024.6.1
    # via gradio-client
    # via huggingface-hub
    # via lightning
    # via pytorch-lightning
    # via torch
gdown==5.2.0
    # via optispeech
gradio==4.41.0
    # via optispeech
gradio-client==1.3.0
    # via gradio
greenlet==3.0.3 ; (python_full_version < '3.13' and platform_machine == 'AMD64') or (python_full_version < '3.13' and platform_machine == 'WIN32') or (python_full_version < '3.13' and platform_machine == 'aarch64') or (python_full_version < '3.13' and platform_machine == 'amd64') or (python_full_version < '3.13' and platform_machine == 'ppc64le') or (python_full_version < '3.13' and platform_machine == 'win32') or (python_full_version < '3.13' and platform_machine == 'x86_64')
    # via sqlalchemy
grpcio==1.65.4
    # via tensorboard
h11==0.14.0
    # via httpcore
    # via uvicorn
httpcore==1.0.5
    # via httpx
httpx==0.27.0
    # via gradio
    # via gradio-client
    # via jupyterlab
huggingface-hub==0.24.5
    # via gradio
    # via gradio-client
    # via penn
    # via tokenizers
    # via transformers
humanfriendly==10.0
    # via coloredlogs
hydra-colorlog==1.2.0
    # via optispeech
hydra-core==1.3.2
    # via hydra-colorlog
    # via hydra-optuna-sweeper
    # via optispeech
hydra-optuna-sweeper==1.2.0
    # via optispeech
identify==2.6.0
    # via pre-commit
idna==3.7
    # via anyio
    # via httpx
    # via jsonschema
    # via requests
    # via yarl
importlib-resources==6.4.0
    # via gradio
iniconfig==2.0.0
    # via pytest
intel-openmp==2021.4.0 ; platform_system == 'Windows'
    # via mkl
ipykernel==6.29.5
    # via jupyterlab
ipython==8.26.0
    # via ipykernel
    # via ipywidgets
ipywidgets==8.1.3
    # via optispeech
isoduration==20.11.0
    # via jsonschema
jedi==0.19.1
    # via ipython
jinja2==3.1.4
    # via gradio
    # via jupyter-server
    # via jupyterlab
    # via jupyterlab-server
    # via nbconvert
    # via torch
joblib==1.4.2
    # via librosa
    # via scikit-learn
json5==0.9.25
    # via jupyterlab-server
jsonpointer==3.0.0
    # via jsonschema
jsonschema==4.23.0
    # via jupyter-events
    # via jupyterlab-server
    # via nbformat
jsonschema-specifications==2023.12.1
    # via jsonschema
jupyter-client==8.6.2
    # via ipykernel
    # via jupyter-server
    # via nbclient
jupyter-core==5.7.2
    # via ipykernel
    # via jupyter-client
    # via jupyter-server
    # via jupyterlab
    # via nbclient
    # via nbconvert
    # via nbformat
jupyter-events==0.10.0
    # via jupyter-server
jupyter-lsp==2.2.5
    # via jupyterlab
jupyter-server==2.14.2
    # via jupyter-lsp
    # via jupyterlab
    # via jupyterlab-server
    # via notebook
    # via notebook-shim
jupyter-server-terminals==0.5.3
    # via jupyter-server
jupyterlab==4.2.4
    # via notebook
jupyterlab-pygments==0.3.0
    # via nbconvert
jupyterlab-server==2.27.3
    # via jupyterlab
    # via notebook
jupyterlab-widgets==3.0.11
    # via ipywidgets
kiwisolver==1.4.5
    # via matplotlib
librosa==0.9.2
    # via optispeech
    # via torchcrepe
lightning==2.4.0
    # via optispeech
lightning-utilities==0.11.6
    # via lightning
    # via pytorch-lightning
    # via torchmetrics
llvmlite==0.43.0
    # via numba
mako==1.3.5
    # via alembic
markdown==3.6
    # via apprise
    # via tensorboard
markdown-it-py==3.0.0
    # via rich
markupsafe==2.1.5
    # via gradio
    # via jinja2
    # via mako
    # via nbconvert
    # via werkzeug
matplotlib==3.9.1.post1
    # via gradio
    # via optispeech
    # via seaborn
matplotlib-inline==0.1.7
    # via ipykernel
    # via ipython
mdurl==0.1.2
    # via markdown-it-py
mistune==3.0.2
    # via nbconvert
mkl==2021.4.0 ; platform_system == 'Windows'
    # via torch
more-itertools==10.4.0
    # via optispeech
mpmath==1.3.0
    # via sympy
multidict==6.0.5
    # via aiohttp
    # via yarl
nbclient==0.10.0
    # via nbconvert
nbconvert==7.16.4
    # via jupyter-server
nbformat==5.10.4
    # via jupyter-server
    # via nbclient
    # via nbconvert
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.3
    # via torch
nnaudio==0.3.3
    # via optispeech
nodeenv==1.9.1
    # via pre-commit
notebook==7.2.1
    # via optispeech
notebook-shim==0.2.4
    # via jupyterlab
    # via notebook
numba==0.60.0
    # via librosa
    # via resampy
numpy==1.26.0
    # via cmaes
    # via contourpy
    # via gradio
    # via librosa
    # via matplotlib
    # via nnaudio
    # via numba
    # via onnx
    # via onnxruntime
    # via optispeech
    # via optuna
    # via pandas
    # via penn
    # via pyworld
    # via resampy
    # via scikit-learn
    # via scipy
    # via seaborn
    # via tensorboard
    # via torchmetrics
    # via torchvision
    # via transformers
nvidia-cublas-cu12==12.1.3.1 ; platform_machine == 'x86_64' and platform_system == 'Linux'
    # via nvidia-cudnn-cu12
    # via nvidia-cusolver-cu12
    # via torch
nvidia-cuda-cupti-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux'
    # via torch
nvidia-cuda-nvrtc-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux'
    # via torch
nvidia-cuda-runtime-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux'
    # via torch
nvidia-cudnn-cu12==8.9.2.26 ; platform_machine == 'x86_64' and platform_system == 'Linux'
    # via torch
nvidia-cufft-cu12==11.0.2.54 ; platform_machine == 'x86_64' and platform_system == 'Linux'
    # via torch
nvidia-curand-cu12==10.3.2.106 ; platform_machine == 'x86_64' and platform_system == 'Linux'
    # via torch
nvidia-cusolver-cu12==11.4.5.107 ; platform_machine == 'x86_64' and platform_system == 'Linux'
    # via torch
nvidia-cusparse-cu12==12.1.0.106 ; platform_machine == 'x86_64' and platform_system == 'Linux'
    # via nvidia-cusolver-cu12
    # via torch
nvidia-nccl-cu12==2.20.5 ; platform_machine == 'x86_64' and platform_system == 'Linux'
    # via torch
nvidia-nvjitlink-cu12==12.6.20 ; platform_machine == 'x86_64' and platform_system == 'Linux'
    # via nvidia-cusolver-cu12
    # via nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux'
    # via torch
oauthlib==3.2.2
    # via requests-oauthlib
omegaconf==2.3.0
    # via hydra-core
onnx==1.16.2
    # via optispeech
onnxruntime==1.18.1
    # via optispeech
optuna==2.10.1
    # via hydra-optuna-sweeper
orjson==3.10.7
    # via gradio
overrides==7.7.0
    # via jupyter-server
packaging==24.1
    # via gradio
    # via gradio-client
    # via huggingface-hub
    # via hydra-core
    # via ipykernel
    # via jupyter-server
    # via jupyterlab
    # via jupyterlab-server
    # via librosa
    # via lightning
    # via lightning-utilities
    # via matplotlib
    # via nbconvert
    # via onnxruntime
    # via optuna
    # via pooch
    # via pytest
    # via pytorch-lightning
    # via torchmetrics
    # via transformers
pandas==2.2.2
    # via gradio
    # via optispeech
    # via seaborn
pandocfilters==1.5.1
    # via nbconvert
parso==0.8.4
    # via jedi
pbr==6.0.0
    # via stevedore
penn==0.0.14
    # via optispeech
pesq==0.0.4
    # via optispeech
pexpect==4.9.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
    # via ipython
pillow==10.4.0
    # via gradio
    # via matplotlib
    # via torchvision
piper-phonemize==1.1.0
    # via optispeech
platformdirs==4.2.2
    # via jupyter-core
    # via pooch
    # via virtualenv
pluggy==1.5.0
    # via pytest
pooch==1.8.2
    # via librosa
pre-commit==3.8.0
    # via optispeech
prettytable==3.10.2
    # via cliff
prometheus-client==0.20.0
    # via jupyter-server
prompt-toolkit==3.0.47
    # via ipython
protobuf==4.25.4
    # via onnx
    # via onnxruntime
    # via tensorboard
psutil==6.0.0
    # via ipykernel
ptyprocess==0.7.0 ; os_name != 'nt' or (sys_platform != 'emscripten' and sys_platform != 'win32')
    # via pexpect
    # via terminado
pure-eval==0.2.3
    # via stack-data
pycparser==2.22
    # via cffi
pydantic==2.8.2
    # via fastapi
    # via gradio
pydantic-core==2.20.1
    # via pydantic
pydub==0.25.1
    # via gradio
pygments==2.18.0
    # via ipython
    # via nbconvert
    # via rich
pyparsing==3.1.2
    # via matplotlib
pyperclip==1.9.0
    # via cmd2
pyreadline3==3.4.3 ; sys_platform == 'win32'
    # via cmd2
    # via humanfriendly
pysocks==1.7.1
    # via requests
pytest==8.3.2
    # via optispeech
python-dateutil==2.9.0.post0
    # via arrow
    # via jupyter-client
    # via matplotlib
    # via pandas
python-dotenv==1.0.1
    # via rootutils
python-json-logger==2.0.7
    # via jupyter-events
python-multipart==0.0.9
    # via gradio
pytorch-lightning==2.4.0
    # via lightning
pytz==2024.1
    # via pandas
pywin32==306 ; platform_python_implementation != 'PyPy' and sys_platform == 'win32'
    # via jupyter-core
pywinpty==2.0.13 ; os_name == 'nt'
    # via jupyter-server
    # via jupyter-server-terminals
    # via terminado
pyworld==0.3.4
    # via optispeech
pyyaml==6.0.2
    # via apprise
    # via cliff
    # via gradio
    # via huggingface-hub
    # via jupyter-events
    # via lightning
    # via omegaconf
    # via optuna
    # via pre-commit
    # via pytorch-lightning
    # via transformers
pyzmq==26.1.0
    # via ipykernel
    # via jupyter-client
    # via jupyter-server
referencing==0.35.1
    # via jsonschema
    # via jsonschema-specifications
    # via jupyter-events
regex==2024.7.24
    # via transformers
requests==2.32.3
    # via apprise
    # via gdown
    # via huggingface-hub
    # via jupyterlab-server
    # via optispeech
    # via pooch
    # via requests-oauthlib
    # via transformers
requests-oauthlib==2.0.0
    # via apprise
resampy==0.4.3
    # via librosa
    # via torchcrepe
rfc3339-validator==0.1.4
    # via jsonschema
    # via jupyter-events
rfc3986-validator==0.1.1
    # via jsonschema
    # via jupyter-events
rich==13.7.1
    # via optispeech
    # via typer
rootutils==1.0.7
    # via optispeech
rpds-py==0.20.0
    # via jsonschema
    # via referencing
ruff==0.5.7 ; sys_platform != 'emscripten'
    # via gradio
safetensors==0.4.4
    # via transformers
scikit-learn==1.5.1
    # via librosa
scipy==1.14.0
    # via librosa
    # via nnaudio
    # via optispeech
    # via optuna
    # via scikit-learn
    # via torchcrepe
seaborn==0.13.2
    # via optispeech
semantic-version==2.10.0
    # via gradio
send2trash==1.8.3
    # via jupyter-server
setuptools==72.1.0
    # via jupyterlab
    # via lightning-utilities
    # via tensorboard
shellingham==1.5.4 ; sys_platform != 'emscripten'
    # via typer
six==1.16.0
    # via asttokens
    # via bleach
    # via python-dateutil
    # via rfc3339-validator
    # via tensorboard
sniffio==1.3.1
    # via anyio
    # via httpx
soundfile==0.12.1
    # via librosa
soupsieve==2.5
    # via beautifulsoup4
sqlalchemy==2.0.32
    # via alembic
    # via optuna
stack-data==0.6.3
    # via ipython
starlette==0.37.2
    # via fastapi
stevedore==5.2.0
    # via cliff
sympy==1.13.1
    # via onnxruntime
    # via torch
tbb==2021.13.1 ; platform_system == 'Windows'
    # via mkl
tensorboard==2.17.0
    # via optispeech
    # via torchutil
tensorboard-data-server==0.7.2
    # via tensorboard
terminado==0.18.1
    # via jupyter-server
    # via jupyter-server-terminals
threadpoolctl==3.5.0
    # via scikit-learn
tinycss2==1.3.0
    # via nbconvert
tokenizers==0.19.1
    # via transformers
tomli==2.0.1 ; python_full_version < '3.11'
    # via jupyterlab
    # via pytest
tomlkit==0.12.0
    # via gradio
torch==2.3.1
    # via lightning
    # via nnaudio
    # via optispeech
    # via penn
    # via pytorch-lightning
    # via torchaudio
    # via torchcrepe
    # via torchmetrics
    # via torchutil
    # via torchvision
torchaudio==2.3.1
    # via optispeech
    # via penn
    # via torchcrepe
torchcrepe==0.0.23
    # via optispeech
torchmetrics==1.4.1
    # via lightning
    # via optispeech
    # via pytorch-lightning
torchutil==0.0.13
    # via penn
torchvision==0.18.1
    # via optispeech
tornado==6.4.1
    # via ipykernel
    # via jupyter-client
    # via jupyter-server
    # via jupyterlab
    # via notebook
    # via terminado
tqdm==4.66.5
    # via gdown
    # via huggingface-hub
    # via lightning
    # via optispeech
    # via optuna
    # via pytorch-lightning
    # via torchcrepe
    # via transformers
traitlets==5.14.3
    # via comm
    # via ipykernel
    # via ipython
    # via ipywidgets
    # via jupyter-client
    # via jupyter-core
    # via jupyter-events
    # via jupyter-server
    # via jupyterlab
    # via matplotlib-inline
    # via nbclient
    # via nbconvert
    # via nbformat
transformers==4.44.0
    # via optispeech
triton==2.3.1 ; python_full_version < '3.12' and platform_machine == 'x86_64' and platform_system == 'Linux'
    # via torch
typer==0.12.3 ; sys_platform != 'emscripten'
    # via gradio
types-python-dateutil==2.9.0.20240316
    # via arrow
typing-extensions==4.12.2
    # via alembic
    # via anyio
    # via async-lru
    # via fastapi
    # via gradio
    # via gradio-client
    # via huggingface-hub
    # via ipython
    # via lightning
    # via lightning-utilities
    # via pydantic
    # via pydantic-core
    # via pytorch-lightning
    # via sqlalchemy
    # via torch
    # via typer
    # via uvicorn
tzdata==2024.1
    # via pandas
unidecode==1.3.8
    # via optispeech
uri-template==1.3.0
    # via jsonschema
urllib3==2.2.2
    # via gradio
    # via requests
uvicorn==0.30.5 ; sys_platform != 'emscripten'
    # via gradio
virtualenv==20.26.3
    # via pre-commit
wcwidth==0.2.13
    # via cmd2
    # via prettytable
    # via prompt-toolkit
webcolors==24.8.0
    # via jsonschema
webencodings==0.5.1
    # via bleach
    # via tinycss2
websocket-client==1.8.0
    # via jupyter-server
websockets==12.0
    # via gradio-client
werkzeug==3.0.3
    # via tensorboard
wget==3.2
    # via optispeech
widgetsnbextension==4.0.11
    # via ipywidgets
yapecs==0.0.8
    # via penn
yarl==1.9.4
    # via aiohttp