internad/requirements-dev.lock at main · deeptrust-ai/internad · GitHub

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# 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: false

-e file:.
aiofiles==23.2.1
    # via gradio
annotated-types==0.7.0
    # via pydantic
anyio==4.6.2.post1
    # via gradio
    # via httpx
    # via starlette
audioread==3.0.1
    # via librosa
certifi==2024.8.30
    # via httpcore
    # via httpx
    # via requests
cffi==1.17.1
    # via cryptography
    # via soundfile
charset-normalizer==3.4.0
    # via requests
click==8.1.7
    # via typer
    # via uvicorn
contourpy==1.3.1
    # via matplotlib
cryptography==44.0.0
    # via internad
cycler==0.12.1
    # via matplotlib
decorator==5.1.1
    # via librosa
fastapi==0.115.5
    # via gradio
ffmpy==0.4.0
    # via gradio
filelock==3.16.1
    # via huggingface-hub
fonttools==4.55.0
    # via matplotlib
fsspec==2024.10.0
    # via gradio-client
    # via huggingface-hub
gradio==5.7.1
    # via internad
gradio-client==1.5.0
    # via gradio
h11==0.14.0
    # via httpcore
    # via uvicorn
httpcore==1.0.7
    # via httpx
httpx==0.28.0
    # via gradio
    # via gradio-client
    # via safehttpx
huggingface-hub==0.26.3
    # via gradio
    # via gradio-client
idna==3.10
    # via anyio
    # via httpx
    # via requests
jinja2==3.1.4
    # via gradio
joblib==1.4.2
    # via librosa
    # via scikit-learn
kiwisolver==1.4.7
    # via matplotlib
lazy-loader==0.4
    # via librosa
librosa==0.10.2.post1
    # via internad
llvmlite==0.43.0
    # via internad
    # via numba
markdown-it-py==3.0.0
    # via rich
markupsafe==2.1.5
    # via gradio
    # via jinja2
matplotlib==3.9.3
    # via internad
mdurl==0.1.2
    # via markdown-it-py
msgpack==1.1.0
    # via librosa
numba==0.60.0
    # via internad
    # via librosa
numpy==2.0.2
    # via contourpy
    # via gradio
    # via librosa
    # via matplotlib
    # via numba
    # via pandas
    # via scikit-learn
    # via scipy
    # via soxr
orjson==3.10.12
    # via gradio
packaging==24.2
    # via gradio
    # via gradio-client
    # via huggingface-hub
    # via lazy-loader
    # via matplotlib
    # via pooch
pandas==2.2.3
    # via gradio
pillow==11.0.0
    # via gradio
    # via matplotlib
platformdirs==4.3.6
    # via pooch
pooch==1.8.2
    # via librosa
pycparser==2.22
    # via cffi
pydantic==2.10.2
    # via fastapi
    # via gradio
pydantic-core==2.27.1
    # via pydantic
pydub==0.25.1
    # via gradio
pygments==2.18.0
    # via rich
pyparsing==3.2.0
    # via matplotlib
python-dateutil==2.9.0.post0
    # via matplotlib
    # via pandas
python-multipart==0.0.12
    # via gradio
pytz==2024.2
    # via pandas
pyyaml==6.0.2
    # via gradio
    # via huggingface-hub
requests==2.32.3
    # via huggingface-hub
    # via pooch
rich==13.9.4
    # via typer
ruff==0.8.1
    # via gradio
safehttpx==0.1.1
    # via gradio
scikit-learn==1.5.2
    # via librosa
scipy==1.14.1
    # via librosa
    # via scikit-learn
semantic-version==2.10.0
    # via gradio
shellingham==1.5.4
    # via typer
six==1.16.0
    # via python-dateutil
sniffio==1.3.1
    # via anyio
soundfile==0.12.1
    # via internad
    # via librosa
soxr==0.5.0.post1
    # via librosa
starlette==0.41.3
    # via fastapi
    # via gradio
threadpoolctl==3.5.0
    # via scikit-learn
tomlkit==0.12.0
    # via gradio
tqdm==4.67.1
    # via huggingface-hub
typer==0.14.0
    # via gradio
typing-extensions==4.12.2
    # via fastapi
    # via gradio
    # via gradio-client
    # via huggingface-hub
    # via librosa
    # via pydantic
    # via pydantic-core
    # via typer
tzdata==2024.2
    # via pandas
urllib3==2.2.3
    # via requests
uvicorn==0.32.1
    # via gradio
websockets==12.0
    # via gradio-client