# 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

absl-py==2.1.0
    # via keras
    # via tensorboard
    # via tensorflow
accelerate==0.29.3
    # via transformers
aiofiles==23.2.1
    # via gradio
altair==5.3.0
    # via gradio
annotated-types==0.6.0
    # via pydantic
anyio==4.3.0
    # via httpx
    # via jupyter-server
    # via starlette
    # via watchfiles
appnope==0.1.4
    # via ipykernel
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
astunparse==1.6.3
    # via tensorflow
async-lru==2.0.4
    # via jupyterlab
attrs==23.2.0
    # via jsonschema
    # via referencing
babel==2.14.0
    # via jupyterlab-server
beautifulsoup4==4.12.3
    # via nbconvert
bleach==6.1.0
    # via nbconvert
certifi==2024.2.2
    # via httpcore
    # via httpx
    # via requests
cffi==1.16.0
    # via argon2-cffi-bindings
charset-normalizer==3.3.2
    # via requests
click==8.1.7
    # via typer
    # via uvicorn
comm==0.2.2
    # via ipykernel
contourpy==1.2.1
    # via matplotlib
cycler==0.12.1
    # via matplotlib
debugpy==1.8.1
    # via ipykernel
decorator==5.1.1
    # via ipython
defusedxml==0.7.1
    # via nbconvert
dnspython==2.6.1
    # via email-validator
email-validator==2.1.1
    # via fastapi
executing==2.0.1
    # via stack-data
fastapi==0.111.0
    # via fastapi-cli
    # via gradio
fastapi-cli==0.0.2
    # via fastapi
fastjsonschema==2.19.1
    # via nbformat
ffmpy==0.3.2
    # via gradio
filelock==3.14.0
    # via huggingface-hub
    # via torch
    # via transformers
flatbuffers==24.3.25
    # via tensorflow
fonttools==4.51.0
    # via matplotlib
fqdn==1.5.1
    # via jsonschema
fsspec==2024.3.1
    # via gradio-client
    # via huggingface-hub
    # via torch
gast==0.5.4
    # via tensorflow
google-pasta==0.2.0
    # via tensorflow
gradio==4.28.3
gradio-client==0.16.0
    # via gradio
grpcio==1.63.0
    # via tensorboard
    # via tensorflow
h11==0.14.0
    # via httpcore
    # via uvicorn
h5py==3.11.0
    # via keras
    # via tensorflow
httpcore==1.0.5
    # via httpx
httptools==0.6.1
    # via uvicorn
httpx==0.27.0
    # via fastapi
    # via gradio
    # via gradio-client
    # via jupyterlab
huggingface-hub==0.23.0
    # via accelerate
    # via gradio
    # via gradio-client
    # via tokenizers
    # via transformers
idna==3.7
    # via anyio
    # via email-validator
    # via httpx
    # via jsonschema
    # via requests
imbalanced-learn==0.12.2
    # via imblearn
imblearn==0.0
importlib-resources==6.4.0
    # via gradio
ipykernel==6.29.4
    # via jupyterlab
ipython==8.24.0
    # via ipykernel
isoduration==20.11.0
    # via jsonschema
jedi==0.19.1
    # via ipython
jinja2==3.1.3
    # via altair
    # via fastapi
    # via gradio
    # via jupyter-server
    # via jupyterlab
    # via jupyterlab-server
    # via nbconvert
    # via torch
joblib==1.4.2
    # via imbalanced-learn
    # via scikit-learn
json5==0.9.25
    # via jupyterlab-server
jsonpointer==2.4
    # via jsonschema
jsonschema==4.22.0
    # via altair
    # via jupyter-events
    # via jupyterlab-server
    # via nbformat
jsonschema-specifications==2023.12.1
    # via jsonschema
jupyter-client==8.6.1
    # 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==2.14.0
    # via jupyter-lsp
    # via jupyterlab
    # via jupyterlab-server
    # via notebook-shim
jupyter-server-terminals==0.5.3
    # via jupyter-server
jupyterlab==4.1.8
jupyterlab-pygments==0.3.0
    # via nbconvert
jupyterlab-server==2.27.1
    # via jupyterlab
keras==3.3.3
    # via tensorflow
kiwisolver==1.4.5
    # via matplotlib
libclang==18.1.1
    # via tensorflow
markdown==3.6
    # via tensorboard
markdown-it-py==3.0.0
    # via rich
markupsafe==2.1.5
    # via gradio
    # via jinja2
    # via nbconvert
    # via werkzeug
matplotlib==3.8.4
    # via gradio
matplotlib-inline==0.1.7
    # via ipykernel
    # via ipython
mdurl==0.1.2
    # via markdown-it-py
mistune==3.0.2
    # via nbconvert
ml-dtypes==0.3.2
    # via keras
    # via tensorflow
mpmath==1.3.0
    # via sympy
namex==0.0.8
    # via keras
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
notebook-shim==0.2.4
    # via jupyterlab
numpy==1.26.4
    # via accelerate
    # via altair
    # via contourpy
    # via gradio
    # via h5py
    # via imbalanced-learn
    # via keras
    # via matplotlib
    # via ml-dtypes
    # via opt-einsum
    # via pandas
    # via scikit-learn
    # via scipy
    # via tensorboard
    # via tensorflow
    # via transformers
opt-einsum==3.3.0
    # via tensorflow
optree==0.11.0
    # via keras
orjson==3.10.2
    # via fastapi
    # via gradio
overrides==7.7.0
    # via jupyter-server
packaging==24.0
    # via accelerate
    # via altair
    # via gradio
    # via gradio-client
    # via huggingface-hub
    # via ipykernel
    # via jupyter-server
    # via jupyterlab
    # via jupyterlab-server
    # via matplotlib
    # via nbconvert
    # via tensorflow
    # via transformers
pandas==2.2.2
    # via altair
    # via gradio
pandocfilters==1.5.1
    # via nbconvert
parso==0.8.4
    # via jedi
pexpect==4.9.0
    # via ipython
pillow==10.3.0
    # via gradio
    # via matplotlib
platformdirs==4.2.1
    # via jupyter-core
prometheus-client==0.20.0
    # via jupyter-server
prompt-toolkit==3.0.43
    # via ipython
protobuf==4.25.3
    # via tensorboard
    # via tensorflow
psutil==5.9.8
    # via accelerate
    # via ipykernel
ptyprocess==0.7.0
    # via pexpect
    # via terminado
pure-eval==0.2.2
    # via stack-data
pycparser==2.22
    # via cffi
pydantic==2.7.1
    # via fastapi
    # via gradio
pydantic-core==2.18.2
    # via pydantic
pydub==0.25.1
    # via gradio
pygments==2.17.2
    # via ipython
    # via nbconvert
    # via rich
pyparsing==3.1.2
    # via matplotlib
python-dateutil==2.9.0.post0
    # via arrow
    # via jupyter-client
    # via matplotlib
    # via pandas
python-dotenv==1.0.1
    # via uvicorn
python-json-logger==2.0.7
    # via jupyter-events
python-multipart==0.0.9
    # via fastapi
    # via gradio
pytz==2024.1
    # via pandas
pyyaml==6.0.1
    # via accelerate
    # via gradio
    # via huggingface-hub
    # via jupyter-events
    # via transformers
    # via uvicorn
pyzmq==26.0.3
    # via ipykernel
    # via jupyter-client
    # via jupyter-server
referencing==0.35.1
    # via jsonschema
    # via jsonschema-specifications
    # via jupyter-events
regex==2024.4.28
    # via transformers
requests==2.31.0
    # via huggingface-hub
    # via jupyterlab-server
    # via tensorflow
    # via transformers
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 keras
    # via typer
rpds-py==0.18.0
    # via jsonschema
    # via referencing
ruff==0.4.2
    # via gradio
safetensors==0.4.3
    # via accelerate
    # via transformers
scikit-learn==1.4.2
    # via imbalanced-learn
scipy==1.13.0
    # via imbalanced-learn
    # via scikit-learn
semantic-version==2.10.0
    # via gradio
send2trash==1.8.3
    # via jupyter-server
setuptools==69.5.1
    # via tensorboard
    # via tensorflow
shellingham==1.5.4
    # via typer
six==1.16.0
    # via asttokens
    # via astunparse
    # via bleach
    # via google-pasta
    # via python-dateutil
    # via rfc3339-validator
    # via tensorboard
    # via tensorflow
sniffio==1.3.1
    # via anyio
    # via httpx
soupsieve==2.5
    # via beautifulsoup4
stack-data==0.6.3
    # via ipython
starlette==0.37.2
    # via fastapi
sympy==1.12
    # via torch
tensorboard==2.16.2
    # via tensorflow
tensorboard-data-server==0.7.2
    # via tensorboard
tensorflow==2.16.1
    # via tf-keras
termcolor==2.4.0
    # via tensorflow
terminado==0.18.1
    # via jupyter-server
    # via jupyter-server-terminals
tf-keras==2.16.0
threadpoolctl==3.5.0
    # via imbalanced-learn
    # via scikit-learn
tinycss2==1.3.0
    # via nbconvert
tokenizers==0.19.1
    # via transformers
tomlkit==0.12.0
    # via gradio
toolz==0.12.1
    # via altair
torch==2.3.0
    # via accelerate
    # via torchaudio
    # via transformers
torchaudio==2.3.0
tornado==6.4
    # via ipykernel
    # via jupyter-client
    # via jupyter-server
    # via jupyterlab
    # via terminado
tqdm==4.66.4
    # via huggingface-hub
    # via transformers
traitlets==5.14.3
    # via comm
    # via ipykernel
    # via ipython
    # via jupyter-client
    # via jupyter-core
    # via jupyter-events
    # via jupyter-server
    # via jupyterlab
    # via matplotlib-inline
    # via nbclient
    # via nbconvert
    # via nbformat
transformers==4.40.1
typer==0.12.3
    # via fastapi-cli
    # via gradio
types-python-dateutil==2.9.0.20240316
    # via arrow
typing-extensions==4.11.0
    # via fastapi
    # via gradio
    # via gradio-client
    # via huggingface-hub
    # via optree
    # via pydantic
    # via pydantic-core
    # via tensorflow
    # via torch
    # via typer
tzdata==2024.1
    # via pandas
ujson==5.9.0
    # via fastapi
uri-template==1.3.0
    # via jsonschema
urllib3==2.2.1
    # via gradio
    # via requests
uvicorn==0.29.0
    # via fastapi
    # via fastapi-cli
    # via gradio
uvloop==0.19.0
    # via uvicorn
watchfiles==0.21.0
    # via uvicorn
wcwidth==0.2.13
    # via prompt-toolkit
webcolors==1.13
    # via jsonschema
webencodings==0.5.1
    # via bleach
    # via tinycss2
websocket-client==1.8.0
    # via jupyter-server
websockets==11.0.3
    # via gradio-client
    # via uvicorn
werkzeug==3.0.2
    # via tensorboard
wheel==0.43.0
    # via astunparse
wrapt==1.16.0
    # via tensorflow