requirements-docker.txt

# This file was autogenerated by uv via the following command:
#    uv export --no-hashes --no-dev -o requirements-docker.txt
aiohappyeyeballs==2.7.1
    # via aiohttp
aiohttp==3.14.1
    # via
    #   aiohttp-retry
    #   fsspec
    #   mlflow
aiohttp-retry==2.9.1
    # via
    #   dvc-http
    #   scmrepo
aiosignal==1.4.0
    # via aiohttp
alembic==1.18.5
    # via mlflow
amqp==5.3.1
    # via kombu
annotated-doc==0.0.4
    # via
    #   fastapi
    #   typer
annotated-types==0.7.0
    # via pydantic
antlr4-python3-runtime==4.9.3
    # via
    #   hydra-core
    #   omegaconf
anyio==4.14.1
    # via starlette
appdirs==1.4.4
    # via iterative-telemetry
appnope==0.1.4 ; sys_platform == 'darwin'
    # via ipykernel
asttokens==3.0.1
    # via stack-data
asyncssh==2.24.0
    # via scmrepo
atpublic==7.0.0
    # via flufl-lock
attrs==26.1.0
    # via
    #   aiohttp
    #   dvc
    #   dvc-data
    #   jsonschema
    #   referencing
    #   sqltrie
billiard==4.2.4
    # via celery
bleach==6.3.0
    # via kaggle
blinker==1.9.0
    # via flask
cachetools==7.1.4
    # via
    #   mlflow-skinny
    #   mlflow-tracing
celery==5.6.3
    # via
    #   dvc
    #   dvc-task
certifi==2026.5.20
    # via requests
cffi==2.0.0
    # via
    #   cryptography
    #   pygit2
    #   pyzmq
charset-normalizer==3.4.7
    # via requests
click==8.4.2
    # via
    #   celery
    #   click-didyoumean
    #   click-plugins
    #   click-repl
    #   flask
    #   mlflow-skinny
    #   uvicorn
click-didyoumean==0.3.1
    # via celery
click-plugins==1.1.1.2
    # via celery
click-repl==0.3.0
    # via celery
cloudpickle==3.1.2
    # via mlflow-skinny
colorama==0.4.6
    # via
    #   click
    #   dvc
    #   ipython
    #   tqdm
    #   typer
comm==0.2.3
    # via ipykernel
configobj==5.0.9
    # via dvc
contourpy==1.3.3
    # via matplotlib
cryptography==48.0.1
    # via
    #   asyncssh
    #   google-auth
    #   mlflow
cuda-bindings==13.3.1 ; sys_platform == 'linux'
    # via torch
cuda-pathfinder==1.5.6 ; sys_platform == 'linux'
    # via cuda-bindings
cuda-toolkit==13.0.2 ; sys_platform == 'linux'
    # via torch
cycler==0.12.1
    # via matplotlib
databricks-sdk==0.120.0
    # via
    #   mlflow-skinny
    #   mlflow-tracing
debugpy==1.8.20
    # via ipykernel
decorator==5.3.1
    # via ipython
dictdiffer==0.9.0
    # via dvc-data
diskcache==5.6.3
    # via dvc-data
distro==1.9.0
    # via
    #   dvc
    #   iterative-telemetry
docker==7.1.0
    # via mlflow
dpath==2.2.0
    # via dvc
dulwich==1.2.7
    # via
    #   dvc
    #   dvc-studio-client
    #   scmrepo
dvc==3.67.1
    # via mood-detector
dvc-data==3.18.3
    # via dvc
dvc-http==2.32.0
    # via dvc
dvc-objects==5.2.0
    # via
    #   dvc
    #   dvc-data
dvc-render==1.0.2
    # via dvc
dvc-studio-client==0.23.0
    # via dvc
dvc-task==0.40.2
    # via dvc
entrypoints==0.4
    # via gto
executing==2.2.1
    # via stack-data
fastapi==0.139.0
    # via
    #   mlflow-skinny
    #   mood-detector
fastjsonschema==2.21.2
    # via nbformat
filelock==3.29.5
    # via
    #   iterative-telemetry
    #   torch
flask==3.1.3
    # via
    #   flask-cors
    #   mlflow
flask-cors==6.0.5
    # via mlflow
flatten-dict==0.5.0
    # via dvc
flufl-lock==9.1.0
    # via dvc
fonttools==4.63.0
    # via matplotlib
frozenlist==1.8.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2026.6.0
    # via
    #   dvc
    #   dvc-data
    #   dvc-http
    #   dvc-objects
    #   scmrepo
    #   torch
funcy==2.0
    # via
    #   dvc
    #   dvc-task
    #   gto
gitdb==4.0.12
    # via gitpython
gitpython==3.1.50
    # via
    #   mlflow-skinny
    #   scmrepo
google-auth==2.55.1
    # via databricks-sdk
grandalf==0.8
    # via dvc
graphene==3.4.3
    # via mlflow
graphql-core==3.2.11
    # via
    #   graphene
    #   graphql-relay
graphql-relay==3.2.0
    # via graphene
greenlet==3.5.3 ; platform_machine == 'AMD64' or platform_machine == 'WIN32' or platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'ppc64le' or platform_machine == 'win32' or platform_machine == 'x86_64'
    # via sqlalchemy
gto==1.9.0
    # via dvc
gunicorn==26.0.0 ; sys_platform != 'win32'
    # via mlflow
h11==0.16.0
    # via uvicorn
huey==3.1.1
    # via mlflow
hydra-core==1.3.3
    # via dvc
idna==3.17
    # via
    #   anyio
    #   requests
    #   yarl
importlib-metadata==9.0.0
    # via mlflow-skinny
ipykernel==7.2.0
    # via mood-detector
ipython==9.14.0
    # via ipykernel
ipython-pygments-lexers==1.1.1
    # via ipython
iterative-telemetry==0.0.10
    # via dvc
itsdangerous==2.2.0
    # via flask
jedi==0.20.0
    # via ipython
jinja2==3.1.6
    # via
    #   flask
    #   torch
joblib==1.5.3
    # via scikit-learn
jsonschema==4.26.0
    # via nbformat
jsonschema-specifications==2025.9.1
    # via jsonschema
jupyter-client==8.8.0
    # via ipykernel
jupyter-core==5.9.1
    # via
    #   ipykernel
    #   jupyter-client
    #   nbformat
jupytext==1.19.3
    # via kaggle
kaggle==2.2.0
    # via mood-detector
kagglesdk==0.1.27
    # via kaggle
kiwisolver==1.5.0
    # via matplotlib
kombu==5.6.2
    # via
    #   celery
    #   dvc
    #   dvc-task
mako==1.3.12
    # via alembic
markdown-it-py==4.2.0
    # via
    #   jupytext
    #   mdit-py-plugins
    #   rich
markupsafe==3.0.3
    # via
    #   flask
    #   jinja2
    #   mako
    #   werkzeug
matplotlib==3.10.9
    # via
    #   mlflow
    #   mood-detector
    #   seaborn
matplotlib-inline==0.2.2
    # via
    #   ipykernel
    #   ipython
mdit-py-plugins==0.6.1
    # via jupytext
mdurl==0.1.2
    # via markdown-it-py
mlflow==3.14.0
    # via mood-detector
mlflow-skinny==3.14.0
    # via mlflow
mlflow-tracing==3.14.0
    # via mlflow
mpmath==1.3.0
    # via sympy
multidict==6.7.1
    # via
    #   aiohttp
    #   yarl
nbformat==5.10.4
    # via jupytext
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.6.1
    # via
    #   dvc
    #   torch
numpy==2.4.6
    # via
    #   contourpy
    #   matplotlib
    #   mlflow
    #   mood-detector
    #   opencv-python-headless
    #   pandas
    #   scikit-learn
    #   scipy
    #   seaborn
    #   skops
    #   torchvision
nvidia-cublas==13.1.1.3 ; sys_platform == 'linux'
    # via
    #   nvidia-cudnn-cu13
    #   nvidia-cusolver
    #   torch
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-cublas
nvidia-cuda-runtime==13.0.96 ; sys_platform == 'linux'
    # via cuda-toolkit
nvidia-cudnn-cu13==9.20.0.48 ; 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==0.8.1 ; sys_platform == 'linux'
    # via torch
nvidia-nccl-cu13==2.29.7 ; 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
omegaconf==2.3.1
    # via
    #   dvc
    #   hydra-core
opencv-python-headless==4.13.0.92
    # via mood-detector
opentelemetry-api==1.43.0
    # via
    #   mlflow-skinny
    #   mlflow-tracing
    #   opentelemetry-sdk
    #   opentelemetry-semantic-conventions
opentelemetry-proto==1.43.0
    # via
    #   mlflow-skinny
    #   mlflow-tracing
opentelemetry-sdk==1.43.0
    # via
    #   mlflow-skinny
    #   mlflow-tracing
opentelemetry-semantic-conventions==0.64b0
    # via opentelemetry-sdk
orjson==3.11.9 ; implementation_name == 'cpython'
    # via
    #   dvc-data
    #   sqltrie
packaging==26.2
    # via
    #   dvc
    #   gunicorn
    #   hydra-core
    #   ipykernel
    #   jupytext
    #   kaggle
    #   kombu
    #   matplotlib
    #   mlflow-skinny
    #   mlflow-tracing
    #   skops
pandas==3.0.3
    # via
    #   mlflow
    #   mood-detector
    #   seaborn
parso==0.8.7
    # via jedi
pathspec==1.1.1
    # via
    #   dvc
    #   scmrepo
pexpect==4.9.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
    # via ipython
pillow==12.2.0
    # via
    #   matplotlib
    #   mood-detector
    #   torchvision
platformdirs==4.10.0
    # via
    #   dvc
    #   jupyter-core
prettytable==3.18.0
    # via skops
prompt-toolkit==3.0.52
    # via
    #   click-repl
    #   ipython
propcache==0.5.2
    # via
    #   aiohttp
    #   yarl
protobuf==6.33.6
    # via
    #   databricks-sdk
    #   kaggle
    #   kagglesdk
    #   mlflow-skinny
    #   mlflow-tracing
    #   opentelemetry-proto
psutil==7.2.2
    # via
    #   dvc
    #   flufl-lock
    #   ipykernel
    #   ipython
ptyprocess==0.7.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
    # via pexpect
pure-eval==0.2.3
    # via stack-data
pyarrow==24.0.0
    # via mlflow
pyasn1==0.6.3
    # via pyasn1-modules
pyasn1-modules==0.4.2
    # via google-auth
pycparser==3.0 ; implementation_name != 'PyPy'
    # via cffi
pydantic==2.13.4
    # via
    #   fastapi
    #   gto
    #   mlflow-skinny
    #   mlflow-tracing
    #   pydantic-settings
pydantic-core==2.46.4
    # via pydantic
pydantic-settings==2.14.2
    # via gto
pydot==4.0.1
    # via dvc
pygit2==1.19.3
    # via scmrepo
pygments==2.20.0
    # via
    #   ipython
    #   ipython-pygments-lexers
    #   rich
pygtrie==2.5.0
    # via
    #   dvc
    #   dvc-data
    #   scmrepo
    #   sqltrie
pyparsing==3.3.2
    # via
    #   dvc
    #   grandalf
    #   matplotlib
    #   pydot
python-dateutil==2.9.0.post0
    # via
    #   celery
    #   graphene
    #   jupyter-client
    #   kaggle
    #   matplotlib
    #   pandas
python-dotenv==1.2.2
    # via
    #   mlflow-skinny
    #   pydantic-settings
python-multipart==0.0.32
    # via mood-detector
python-slugify==8.0.4
    # via kaggle
pywin32==312 ; sys_platform == 'win32'
    # via
    #   docker
    #   dvc-task
pyyaml==6.0.3
    # via
    #   jupytext
    #   mlflow-skinny
    #   omegaconf
pyzmq==27.1.0
    # via
    #   ipykernel
    #   jupyter-client
referencing==0.37.0
    # via
    #   jsonschema
    #   jsonschema-specifications
requests==2.34.2
    # via
    #   databricks-sdk
    #   docker
    #   dvc
    #   dvc-studio-client
    #   iterative-telemetry
    #   kaggle
    #   kagglesdk
    #   mlflow-skinny
rich==15.0.0
    # via
    #   dvc
    #   gto
    #   typer
rpds-py==2026.5.1
    # via
    #   jsonschema
    #   referencing
ruamel-yaml==0.19.1
    # via
    #   dvc
    #   gto
scikit-learn==1.8.0
    # via
    #   mlflow
    #   mood-detector
    #   skops
scipy==1.17.1
    # via
    #   mlflow
    #   scikit-learn
    #   skops
scmrepo==3.6.2
    # via
    #   dvc
    #   gto
seaborn==0.13.2
    # via mood-detector
semver==3.0.4
    # via gto
setuptools==81.0.0
    # via
    #   torch
    #   zc-lockfile
shellingham==1.5.4
    # via typer
shortuuid==1.0.13
    # via
    #   dvc
    #   dvc-task
shtab==1.8.1
    # via dvc
six==1.17.0
    # via python-dateutil
skops==0.14.0
    # via mlflow
smmap==5.0.3
    # via gitdb
sqlalchemy==2.0.51
    # via
    #   alembic
    #   mlflow
sqlparse==0.5.5
    # via mlflow-skinny
sqltrie==0.11.2
    # via dvc-data
stack-data==0.6.3
    # via ipython
starlette==1.3.1
    # via
    #   fastapi
    #   mlflow-skinny
sympy==1.14.0
    # via torch
tabulate==0.10.0
    # via
    #   dvc
    #   gto
text-unidecode==1.3
    # via python-slugify
threadpoolctl==3.6.0
    # via scikit-learn
tomlkit==0.15.0
    # via dvc
    # via
    #   mood-detector
    #   torchvision
    # via mood-detector
tornado==6.5.6
    # via
    #   ipykernel
    #   jupyter-client
tqdm==4.67.3
    # via
    #   dvc
    #   dvc-data
    #   fsspec
    #   kaggle
    #   scmrepo
traitlets==5.15.0
    # via
    #   ipykernel
    #   ipython
    #   jupyter-client
    #   jupyter-core
    #   matplotlib-inline
    #   nbformat
triton==3.7.1 ; sys_platform == 'linux'
    # via torch
typer==0.26.8
    # via gto
typing-extensions==4.16.0
    # via
    #   alembic
    #   asyncssh
    #   fastapi
    #   graphene
    #   mlflow-skinny
    #   opentelemetry-api
    #   opentelemetry-sdk
    #   opentelemetry-semantic-conventions
    #   pydantic
    #   pydantic-core
    #   sqlalchemy
    #   torch
    #   typing-inspection
typing-inspection==0.4.2
    # via
    #   fastapi
    #   pydantic
    #   pydantic-settings
tzdata==2026.2
    # via
    #   kombu
    #   pandas
    #   tzlocal
tzlocal==5.4.4
    # via celery
urllib3==2.7.0
    # via
    #   databricks-sdk
    #   docker
    #   dulwich
    #   kaggle
    #   requests
uvicorn==0.50.0
    # via
    #   mlflow-skinny
    #   mood-detector
vine==5.1.0
    # via
    #   amqp
    #   celery
    #   kombu
voluptuous==0.16.0
    # via
    #   dvc
    #   dvc-studio-client
waitress==3.0.2 ; sys_platform == 'win32'
    # via mlflow
wcwidth==0.7.0
    # via
    #   prettytable
    #   prompt-toolkit
webencodings==0.5.1
    # via bleach
werkzeug==3.1.8
    # via
    #   flask
    #   flask-cors
yarl==1.24.2
    # via aiohttp
zc-lockfile==4.0
    # via dvc
zipp==4.1.0
    # via importlib-metadata