# This file was autogenerated by uv via the following command:
#    uv pip compile requirements.in -o requirements.txt
aiofiles==23.2.1
    # via gradio
aiohappyeyeballs==2.4.0
    # via aiohttp
aiohttp==3.10.5
    # via
    #   datasets
    #   fsspec
aiosignal==1.3.1
    # via aiohttp
annotated-types==0.7.0
    # via pydantic
anyio==4.4.0
    # via
    #   gradio
    #   httpx
    #   starlette
argilla @ git+https://github.com/argilla-io/argilla.git@5476-feature-expose-dataset-progress-values-within-the-python-sdk#subdirectory=argilla
    # via -r requirements.in
attrs==24.2.0
    # via aiohttp
cachetools==5.5.0
    # via -r requirements.in
certifi==2024.8.30
    # via
    #   httpcore
    #   httpx
    #   requests
charset-normalizer==3.3.2
    # via requests
click==8.1.7
    # via
    #   typer
    #   uvicorn
contourpy==1.3.0
    # via matplotlib
cycler==0.12.1
    # via matplotlib
datasets==2.14.4
    # via argilla
dill==0.3.7
    # via
    #   datasets
    #   multiprocess
fastapi==0.112.4
    # via gradio
ffmpy==0.4.0
    # via gradio
filelock==3.16.0
    # via huggingface-hub
fonttools==4.53.1
    # via matplotlib
frozenlist==1.4.1
    # via
    #   aiohttp
    #   aiosignal
fsspec==2024.9.0
    # via
    #   datasets
    #   gradio-client
    #   huggingface-hub
gradio==4.43.0
    # via -r requirements.in
gradio-client==1.3.0
    # via gradio
h11==0.14.0
    # via
    #   httpcore
    #   uvicorn
httpcore==1.0.5
    # via httpx
httpx==0.27.2
    # via
    #   argilla
    #   gradio
    #   gradio-client
huggingface-hub==0.24.6
    # via
    #   argilla
    #   datasets
    #   gradio
    #   gradio-client
idna==3.8
    # via
    #   anyio
    #   httpx
    #   requests
    #   yarl
importlib-resources==6.4.4
    # via gradio
jinja2==3.1.4
    # via gradio
kiwisolver==1.4.7
    # via matplotlib
markdown-it-py==3.0.0
    # via rich
markupsafe==2.1.5
    # via
    #   gradio
    #   jinja2
matplotlib==3.9.2
    # via gradio
mdurl==0.1.2
    # via markdown-it-py
multidict==6.0.5
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.15
    # via datasets
numpy==2.1.1
    # via
    #   contourpy
    #   datasets
    #   gradio
    #   matplotlib
    #   pandas
    #   pyarrow
orjson==3.10.7
    # via gradio
packaging==24.1
    # via
    #   datasets
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   matplotlib
    #   plotly
pandas==2.2.2
    # via
    #   datasets
    #   gradio
pillow==10.4.0
    # via
    #   argilla
    #   gradio
    #   matplotlib
plotly==5.24.0
    # via -r requirements.in
pyarrow==17.0.0
    # via datasets
pydantic==2.9.0
    # via
    #   argilla
    #   fastapi
    #   gradio
pydantic-core==2.23.2
    # via pydantic
pydub==0.25.1
    # via gradio
pygments==2.18.0
    # via rich
pyparsing==3.1.4
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   matplotlib
    #   pandas
python-multipart==0.0.9
    # via gradio
pytz==2024.1
    # via pandas
pyyaml==6.0.2
    # via
    #   datasets
    #   gradio
    #   huggingface-hub
requests==2.32.3
    # via
    #   datasets
    #   huggingface-hub
rich==13.8.0
    # via
    #   argilla
    #   typer
ruff==0.6.4
    # via gradio
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
    #   httpx
starlette==0.38.5
    # via fastapi
tenacity==9.0.0
    # via plotly
tomlkit==0.12.0
    # via gradio
tqdm==4.66.5
    # via
    #   argilla
    #   datasets
    #   huggingface-hub
typer==0.12.5
    # via gradio
typing-extensions==4.12.2
    # via
    #   fastapi
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   pydantic
    #   pydantic-core
    #   typer
tzdata==2024.1
    # via
    #   pandas
    #   pydantic
urllib3==2.2.2
    # via
    #   gradio
    #   requests
uvicorn==0.30.6
    # via gradio
websockets==12.0
    # via gradio-client
xxhash==3.5.0
    # via datasets
yarl==1.11.0
    # via aiohttp