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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