reachymini_vn_example / requirements.txt
Steve Nguyen
test dep
87313f6
# This file was autogenerated by uv via the following command:
# uv pip compile pyproject.toml -o requirements.txt
aiofiles==24.1.0
# via gradio
aioice==0.10.2
# via
# aiortc
# fastrtc
aiortc==1.14.0
# via fastrtc
annotated-doc==0.0.4
# via fastapi
annotated-types==0.7.0
# via pydantic
anyio==4.12.0
# via
# gradio
# httpx
# starlette
audioread==3.1.0
# via librosa
av==16.0.1
# via aiortc
brotli==1.2.0
# via gradio
certifi==2025.11.12
# via
# httpcore
# httpx
# requests
cffi==2.0.0
# via
# cryptography
# pylibsrtp
# soundfile
charset-normalizer==3.4.4
# via requests
click==8.3.1
# via
# typer
# typer-slim
# uvicorn
cryptography==46.0.3
# via
# aiortc
# pyopenssl
decorator==5.2.1
# via librosa
dnspython==2.8.0
# via aioice
fastapi==0.123.5
# via gradio
fastrtc==0.0.34
# via test-vn (pyproject.toml)
ffmpy==1.0.0
# via gradio
filelock==3.20.0
# via huggingface-hub
fsspec==2025.10.0
# via
# gradio-client
# huggingface-hub
google-crc32c==1.7.1
# via aiortc
gradio==5.50.0
# via
# test-vn (pyproject.toml)
# fastrtc
gradio-client==1.14.0
# via gradio
groovy==0.1.2
# via gradio
h11==0.16.0
# via
# httpcore
# uvicorn
hf-xet==1.2.0
# via huggingface-hub
httpcore==1.0.9
# via httpx
httpx==0.28.1
# via
# gradio
# gradio-client
# huggingface-hub
# safehttpx
huggingface-hub==1.1.7
# via
# gradio
# gradio-client
idna==3.11
# via
# anyio
# httpx
# requests
ifaddr==0.2.0
# via aioice
jinja2==3.1.6
# via gradio
joblib==1.5.2
# via
# librosa
# scikit-learn
lazy-loader==0.4
# via librosa
librosa==0.11.0
# via fastrtc
llvmlite==0.45.1
# via numba
markdown-it-py==4.0.0
# via rich
markupsafe==3.0.3
# via
# gradio
# jinja2
mdurl==0.1.2
# via markdown-it-py
msgpack==1.1.2
# via librosa
numba==0.62.1
# via
# fastrtc
# librosa
numpy==2.3.5
# via
# test-vn (pyproject.toml)
# fastrtc
# gradio
# librosa
# numba
# pandas
# scikit-learn
# scipy
# soundfile
# soxr
orjson==3.11.4
# via gradio
packaging==25.0
# via
# gradio
# gradio-client
# huggingface-hub
# lazy-loader
# pooch
pandas==2.3.3
# via gradio
pillow==11.3.0
# via gradio
platformdirs==4.5.0
# via pooch
pooch==1.8.2
# via librosa
pycparser==2.23
# via cffi
pydantic==2.12.3
# via
# fastapi
# gradio
pydantic-core==2.41.4
# via pydantic
pydub==0.25.1
# via gradio
pyee==13.0.0
# via aiortc
pygments==2.19.2
# via rich
pylibsrtp==1.0.0
# via aiortc
pyopenssl==25.3.0
# via aiortc
python-dateutil==2.9.0.post0
# via pandas
python-multipart==0.0.20
# via gradio
pytz==2025.2
# via pandas
pyyaml==6.0.3
# via
# gradio
# huggingface-hub
requests==2.32.5
# via pooch
rich==14.2.0
# via typer
ruff==0.14.7
# via gradio
safehttpx==0.1.7
# via gradio
scikit-learn==1.7.2
# via librosa
scipy==1.16.3
# via
# librosa
# scikit-learn
semantic-version==2.10.0
# via gradio
shellingham==1.5.4
# via
# huggingface-hub
# typer
six==1.17.0
# via python-dateutil
soundfile==0.13.1
# via librosa
soxr==1.0.0
# via librosa
starlette==0.50.0
# via
# fastapi
# gradio
threadpoolctl==3.6.0
# via scikit-learn
tomlkit==0.13.3
# via gradio
tqdm==4.67.1
# via huggingface-hub
typer==0.20.0
# via gradio
typer-slim==0.20.0
# via huggingface-hub
typing-extensions==4.15.0
# via
# anyio
# fastapi
# gradio
# gradio-client
# huggingface-hub
# librosa
# pydantic
# pydantic-core
# pyee
# pyopenssl
# starlette
# typer
# typer-slim
# typing-inspection
typing-inspection==0.4.2
# via pydantic
tzdata==2025.2
# via pandas
urllib3==2.5.0
# via requests
uvicorn==0.38.0
# via gradio
websockets==15.0.1
# via gradio-client