sapolita-3 / requirements.txt
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#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
# pip-compile
#
aiofiles==24.1.0
# via gradio
aiohappyeyeballs==2.6.1
# via aiohttp
aiohttp==3.12.13
# via fsspec
aiosignal==1.3.2
# via aiohttp
alembic==1.16.2
# via optuna
annotated-types==0.7.0
# via pydantic
antlr4-python3-runtime==4.9.3
# via omegaconf
anyio==4.9.0
# via
# gradio
# httpx
# mcp
# sse-starlette
# starlette
asteroid-filterbanks==0.4.0
# via pyannote-audio
async-timeout==5.0.1
# via aiohttp
attrs==25.3.0
# via aiohttp
authlib==1.6.0
# via gradio
av==14.4.0
# via faster-whisper
certifi==2025.6.15
# via
# httpcore
# httpx
# requests
cffi==1.17.1
# via
# cryptography
# soundfile
charset-normalizer==3.4.2
# via requests
click==8.0.4
# via
# -r requirements.in
# nltk
# typer
# uvicorn
coloredlogs==15.0.1
# via onnxruntime
colorlog==6.9.0
# via optuna
contourpy==1.3.2
# via matplotlib
cryptography==45.0.4
# via authlib
ctranslate2==4.4.0
# via
# -r requirements.in
# faster-whisper
# whisperx
cycler==0.12.1
# via matplotlib
datasets==3.6.0
# via -r requirements.in
dill==0.3.8
# via
# datasets
# multiprocess
docopt==0.6.2
# via
# pyannote-metrics
# pyannote-pipeline
einops==0.8.1
# via pyannote-audio
exceptiongroup==1.3.0
# via anyio
fastapi==0.115.13
# via gradio
faster-whisper==1.1.1
# via whisperx
ffmpy==0.6.0
# via gradio
filelock==3.18.0
# via
# datasets
# huggingface-hub
# pyannote-pipeline
# torch
# transformers
flatbuffers==25.2.10
# via onnxruntime
fonttools==4.58.4
# via matplotlib
frozenlist==1.7.0
# via
# aiohttp
# aiosignal
fsspec[http]==2025.3.0
# via
# datasets
# gradio-client
# huggingface-hub
# lightning
# pytorch-lightning
# torch
gradio[mcp,oauth]==5.32.0
# via
# -r requirements.in
# spaces
gradio-client==1.10.2
# via gradio
greenlet==3.2.3
# via sqlalchemy
groovy==0.1.2
# via gradio
h11==0.16.0
# via
# httpcore
# uvicorn
hf-transfer==0.1.9
# via -r requirements.in
hf-xet==1.1.4
# via
# -r requirements.in
# huggingface-hub
httpcore==1.0.9
# via httpx
httpx==0.28.1
# via
# gradio
# gradio-client
# mcp
# safehttpx
# spaces
httpx-sse==0.4.0
# via mcp
huggingface-hub==0.33.0
# via
# -r requirements.in
# datasets
# faster-whisper
# gradio
# gradio-client
# pyannote-audio
# speechbrain
# tokenizers
# transformers
humanfriendly==10.0
# via coloredlogs
hyperpyyaml==1.2.2
# via speechbrain
idna==3.10
# via
# anyio
# httpx
# requests
# yarl
itsdangerous==2.2.0
# via gradio
jinja2==3.1.6
# via
# gradio
# torch
joblib==1.5.1
# via
# nltk
# scikit-learn
# speechbrain
julius==0.2.7
# via torch-audiomentations
kiwisolver==1.4.8
# via matplotlib
lightning==2.5.1.post0
# via pyannote-audio
lightning-utilities==0.14.3
# via
# lightning
# pytorch-lightning
# torchmetrics
mako==1.3.10
# via alembic
markdown-it-py==3.0.0
# via rich
markupsafe==3.0.2
# via
# gradio
# jinja2
# mako
matplotlib==3.10.3
# via pyannote-metrics
mcp==1.9.0
# via gradio
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
multidict==6.5.0
# via
# aiohttp
# yarl
multiprocess==0.70.16
# via datasets
networkx==3.4.2
# via torch
nltk==3.9.1
# via whisperx
numpy==2.2.6
# via
# asteroid-filterbanks
# contourpy
# ctranslate2
# datasets
# gradio
# matplotlib
# onnxruntime
# optuna
# pandas
# pyannote-core
# pyannote-metrics
# pytorch-metric-learning
# scikit-learn
# scipy
# soundfile
# speechbrain
# tensorboardx
# torchmetrics
# transformers
# whisperx
nvidia-cublas-cu12==12.6.4.1
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.6.80
# via torch
nvidia-cuda-nvrtc-cu12==12.6.77
# via torch
nvidia-cuda-runtime-cu12==12.6.77
# via torch
nvidia-cudnn-cu12==9.5.1.17
# via torch
nvidia-cufft-cu12==11.3.0.4
# via torch
nvidia-cufile-cu12==1.11.1.6
# via torch
nvidia-curand-cu12==10.3.7.77
# via torch
nvidia-cusolver-cu12==11.7.1.2
# via torch
nvidia-cusparse-cu12==12.5.4.2
# via
# nvidia-cusolver-cu12
# torch
nvidia-cusparselt-cu12==0.6.3
# via torch
nvidia-nccl-cu12==2.26.2
# via torch
nvidia-nvjitlink-cu12==12.6.85
# via
# nvidia-cufft-cu12
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
# torch
nvidia-nvtx-cu12==12.6.77
# via torch
omegaconf==2.3.0
# via pyannote-audio
onnxruntime==1.22.0
# via
# faster-whisper
# whisperx
optuna==4.4.0
# via pyannote-pipeline
orjson==3.10.18
# via gradio
packaging==24.2
# via
# datasets
# gradio
# gradio-client
# huggingface-hub
# lightning
# lightning-utilities
# matplotlib
# onnxruntime
# optuna
# pytorch-lightning
# spaces
# speechbrain
# tensorboardx
# torch-pitch-shift
# torchmetrics
# transformers
pandas==2.3.0
# via
# datasets
# gradio
# pyannote-database
# pyannote-metrics
# whisperx
pillow==11.2.1
# via
# gradio
# matplotlib
primepy==1.3
# via torch-pitch-shift
propcache==0.3.2
# via
# aiohttp
# yarl
protobuf==6.31.1
# via
# onnxruntime
# tensorboardx
psutil==5.9.8
# via spaces
pyannote-audio==3.3.2
# via whisperx
pyannote-core==5.0.0
# via
# pyannote-audio
# pyannote-database
# pyannote-metrics
# pyannote-pipeline
pyannote-database==5.1.3
# via
# pyannote-audio
# pyannote-metrics
# pyannote-pipeline
pyannote-metrics==3.2.1
# via pyannote-audio
pyannote-pipeline==3.0.1
# via pyannote-audio
pyarrow==20.0.0
# via datasets
pycparser==2.22
# via cffi
pydantic==2.11.7
# via
# -r requirements.in
# fastapi
# gradio
# mcp
# pydantic-settings
# spaces
pydantic-core==2.33.2
# via pydantic
pydantic-settings==2.9.1
# via mcp
pydub==0.25.1
# via gradio
pygments==2.19.1
# via rich
pyparsing==3.2.3
# via matplotlib
python-dateutil==2.9.0.post0
# via
# matplotlib
# pandas
python-dotenv==1.1.0
# via pydantic-settings
python-multipart==0.0.20
# via
# gradio
# mcp
pytorch-lightning==2.5.1.post0
# via lightning
pytorch-metric-learning==2.8.1
# via pyannote-audio
pytz==2025.2
# via pandas
pyyaml==6.0.2
# via
# ctranslate2
# datasets
# gradio
# huggingface-hub
# hyperpyyaml
# lightning
# omegaconf
# optuna
# pyannote-database
# pyannote-pipeline
# pytorch-lightning
# transformers
regex==2024.11.6
# via
# nltk
# transformers
requests==2.32.4
# via
# datasets
# huggingface-hub
# spaces
# transformers
rich==14.0.0
# via
# pyannote-audio
# typer
ruamel-yaml==0.18.14
# via hyperpyyaml
ruamel-yaml-clib==0.2.12
# via ruamel-yaml
ruff==0.12.0
# via gradio
safehttpx==0.1.6
# via gradio
safetensors==0.5.3
# via transformers
scikit-learn==1.7.0
# via
# pyannote-metrics
# pyannote-pipeline
# pytorch-metric-learning
scipy==1.15.3
# via
# pyannote-core
# pyannote-metrics
# scikit-learn
# speechbrain
semantic-version==2.10.0
# via gradio
semver==3.0.4
# via pyannote-audio
sentencepiece==0.2.0
# via speechbrain
shellingham==1.5.4
# via typer
six==1.17.0
# via python-dateutil
sniffio==1.3.1
# via anyio
sortedcontainers==2.4.0
# via pyannote-core
soundfile==0.13.1
# via pyannote-audio
spaces==0.37.0
# via -r requirements.in
speechbrain==1.0.3
# via pyannote-audio
sqlalchemy==2.0.41
# via
# alembic
# optuna
sse-starlette==2.3.6
# via mcp
starlette==0.46.2
# via
# fastapi
# gradio
# mcp
sympy==1.14.0
# via
# onnxruntime
# pyannote-metrics
# torch
tabulate==0.9.0
# via pyannote-metrics
tensorboardx==2.6.4
# via pyannote-audio
threadpoolctl==3.6.0
# via scikit-learn
tokenizers==0.21.1
# via
# faster-whisper
# transformers
tomli==2.2.1
# via alembic
tomlkit==0.13.3
# via gradio
torch==2.7.1
# via
# asteroid-filterbanks
# julius
# lightning
# pyannote-audio
# pytorch-lightning
# pytorch-metric-learning
# speechbrain
# torch-audiomentations
# torch-pitch-shift
# torchaudio
# torchmetrics
# whisperx
torch-audiomentations==0.12.0
# via pyannote-audio
torch-pitch-shift==1.2.5
# via torch-audiomentations
torchaudio==2.7.1
# via
# pyannote-audio
# speechbrain
# torch-audiomentations
# torch-pitch-shift
# whisperx
torchmetrics==1.7.3
# via
# lightning
# pyannote-audio
# pytorch-lightning
tqdm==4.67.1
# via
# datasets
# faster-whisper
# huggingface-hub
# lightning
# nltk
# optuna
# pyannote-pipeline
# pytorch-lightning
# pytorch-metric-learning
# speechbrain
# transformers
transformers==4.52.4
# via whisperx
triton==3.3.1
# via torch
typer==0.16.0
# via
# gradio
# pyannote-database
typing-extensions==4.14.0
# via
# alembic
# anyio
# asteroid-filterbanks
# exceptiongroup
# fastapi
# gradio
# gradio-client
# huggingface-hub
# lightning
# lightning-utilities
# multidict
# pyannote-core
# pydantic
# pydantic-core
# pytorch-lightning
# rich
# spaces
# sqlalchemy
# torch
# typer
# typing-inspection
# uvicorn
typing-inspection==0.4.1
# via
# pydantic
# pydantic-settings
tzdata==2025.2
# via pandas
urllib3==2.5.0
# via requests
uvicorn==0.34.3
# via
# -r requirements.in
# gradio
# mcp
websockets==15.0.1
# via gradio-client
whisperx==3.3.4
# via -r requirements.in
xxhash==3.5.0
# via datasets
yarl==1.20.1
# via aiohttp
# The following packages are considered to be unsafe in a requirements file:
# setuptools