Sexism-Detection-Dashboard / requirements.txt
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# This file was autogenerated by uv via the following command:
# uv pip compile pyproject.toml -o requirements.txt
accelerate==1.2.1
# via transformers
aiofiles==23.2.1
# via gradio
aiohappyeyeballs==2.4.4
# via aiohttp
aiohttp==3.11.11
# via
# datasets
# fsspec
aiosignal==1.3.2
# via aiohttp
annotated-types==0.7.0
# via pydantic
anyio==4.7.0
# via
# gradio
# httpx
# starlette
asttokens==3.0.0
# via stack-data
attrs==24.3.0
# via aiohttp
certifi==2024.12.14
# via
# httpcore
# httpx
# requests
charset-normalizer==3.4.0
# via requests
click==8.1.8
# via
# nltk
# typer
# uvicorn
comm==0.2.2
# via
# ipykernel
# ipywidgets
contourpy==1.3.1
# via matplotlib
cycler==0.12.1
# via matplotlib
datasets==3.2.0
# via sexism-detection (pyproject.toml)
debugpy==1.8.11
# via ipykernel
decorator==5.1.1
# via ipython
dill==0.3.8
# via
# datasets
# multiprocess
executing==2.1.0
# via stack-data
fastapi==0.115.6
# via gradio
ffmpy==0.5.0
# via gradio
filelock==3.16.1
# via
# datasets
# huggingface-hub
# torch
# transformers
# triton
fonttools==4.55.3
# via matplotlib
frozenlist==1.5.0
# via
# aiohttp
# aiosignal
fsspec==2024.9.0
# via
# datasets
# gradio-client
# huggingface-hub
# torch
gensim==4.3.3
# via sexism-detection (pyproject.toml)
gradio==5.9.1
# via sexism-detection (pyproject.toml)
gradio-client==1.5.2
# via gradio
h11==0.14.0
# via
# httpcore
# uvicorn
httpcore==1.0.7
# via httpx
httpx==0.28.1
# via
# gradio
# gradio-client
# safehttpx
huggingface-hub==0.27.0
# via
# accelerate
# datasets
# gradio
# gradio-client
# tokenizers
# transformers
idna==3.10
# via
# anyio
# httpx
# requests
# yarl
iprogress==0.4
# via sexism-detection (pyproject.toml)
ipykernel==6.29.5
# via sexism-detection (pyproject.toml)
ipython==8.31.0
# via
# ipykernel
# ipywidgets
ipywidgets==8.1.5
# via sexism-detection (pyproject.toml)
jedi==0.19.2
# via ipython
jinja2==3.1.5
# via
# gradio
# torch
joblib==1.4.2
# via
# nltk
# scikit-learn
jupyter-client==8.6.3
# via ipykernel
jupyter-core==5.7.2
# via
# ipykernel
# jupyter-client
jupyterlab-widgets==3.0.13
# via ipywidgets
kiwisolver==1.4.7
# via matplotlib
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via
# gradio
# jinja2
matplotlib==3.10.0
# via sexism-detection (pyproject.toml)
matplotlib-inline==0.1.7
# via
# ipykernel
# ipython
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
multidict==6.1.0
# via
# aiohttp
# yarl
multiprocess==0.70.16
# via datasets
nest-asyncio==1.6.0
# via ipykernel
networkx==3.4.2
# via torch
nltk==3.9.1
# via sexism-detection (pyproject.toml)
numpy==1.26.4
# via
# sexism-detection (pyproject.toml)
# accelerate
# contourpy
# datasets
# gensim
# gradio
# matplotlib
# pandas
# scikit-learn
# scipy
# torchvision
# transformers
nvidia-cublas-cu12==12.4.5.8
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.4.127
# via torch
nvidia-cuda-nvrtc-cu12==12.4.127
# via torch
nvidia-cuda-runtime-cu12==12.4.127
# via torch
nvidia-cudnn-cu12==9.1.0.70
# via torch
nvidia-cufft-cu12==11.2.1.3
# via torch
nvidia-curand-cu12==10.3.5.147
# via torch
nvidia-cusolver-cu12==11.6.1.9
# via torch
nvidia-cusparse-cu12==12.3.1.170
# via
# nvidia-cusolver-cu12
# torch
nvidia-nccl-cu12==2.21.5
# via torch
nvidia-nvjitlink-cu12==12.4.127
# via
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
# torch
nvidia-nvtx-cu12==12.4.127
# via torch
orjson==3.10.12
# via gradio
packaging==24.2
# via
# accelerate
# datasets
# gradio
# gradio-client
# huggingface-hub
# ipykernel
# matplotlib
# transformers
pandas==2.2.3
# via
# sexism-detection (pyproject.toml)
# datasets
# gradio
parso==0.8.4
# via jedi
pexpect==4.9.0
# via ipython
pillow==11.0.0
# via
# gradio
# matplotlib
# torchvision
pip==24.3.1
# via sexism-detection (pyproject.toml)
platformdirs==4.3.6
# via jupyter-core
prompt-toolkit==3.0.48
# via ipython
propcache==0.2.1
# via
# aiohttp
# yarl
psutil==6.1.1
# via
# accelerate
# ipykernel
ptyprocess==0.7.0
# via pexpect
pure-eval==0.2.3
# via stack-data
pyarrow==18.1.0
# via datasets
pydantic==2.10.4
# via
# fastapi
# gradio
pydantic-core==2.27.2
# via pydantic
pydub==0.25.1
# via gradio
pygments==2.18.0
# via
# ipython
# rich
pyparsing==3.2.0
# via matplotlib
python-dateutil==2.9.0.post0
# via
# jupyter-client
# matplotlib
# pandas
python-multipart==0.0.20
# via gradio
pytz==2024.2
# via pandas
pyyaml==6.0.2
# via
# accelerate
# datasets
# gradio
# huggingface-hub
# transformers
pyzmq==26.2.0
# via
# ipykernel
# jupyter-client
regex==2024.11.6
# via
# nltk
# transformers
requests==2.32.3
# via
# sexism-detection (pyproject.toml)
# datasets
# huggingface-hub
# transformers
rich==13.9.4
# via typer
ruff==0.8.4
# via gradio
safehttpx==0.1.6
# via gradio
safetensors==0.4.5
# via
# accelerate
# transformers
scikit-learn==1.6.0
# via sexism-detection (pyproject.toml)
scipy==1.13.1
# via
# gensim
# scikit-learn
semantic-version==2.10.0
# via gradio
setuptools==75.6.0
# via torch
shellingham==1.5.4
# via typer
six==1.17.0
# via
# iprogress
# python-dateutil
smart-open==7.1.0
# via gensim
sniffio==1.3.1
# via anyio
stack-data==0.6.3
# via ipython
starlette==0.41.3
# via
# fastapi
# gradio
sympy==1.13.1
# via torch
threadpoolctl==3.5.0
# via scikit-learn
tokenizers==0.21.0
# via transformers
tomlkit==0.13.2
# via gradio
torch==2.5.1
# via
# sexism-detection (pyproject.toml)
# accelerate
# torchaudio
# torchvision
# transformers
torchaudio==2.5.1
# via sexism-detection (pyproject.toml)
torchvision==0.20.1
# via sexism-detection (pyproject.toml)
tornado==6.4.2
# via
# ipykernel
# jupyter-client
tqdm==4.67.1
# via
# sexism-detection (pyproject.toml)
# datasets
# huggingface-hub
# nltk
# transformers
traitlets==5.14.3
# via
# comm
# ipykernel
# ipython
# ipywidgets
# jupyter-client
# jupyter-core
# matplotlib-inline
transformers==4.47.1
# via sexism-detection (pyproject.toml)
triton==3.1.0
# via torch
typer==0.15.1
# via gradio
typing-extensions==4.12.2
# via
# anyio
# fastapi
# gradio
# gradio-client
# huggingface-hub
# pydantic
# pydantic-core
# torch
# typer
tzdata==2024.2
# via pandas
urllib3==2.3.0
# via requests
uvicorn==0.34.0
# via gradio
wcwidth==0.2.13
# via prompt-toolkit
websockets==14.1
# via gradio-client
widgetsnbextension==4.0.13
# via ipywidgets
wrapt==1.17.0
# via smart-open
xxhash==3.5.0
# via datasets
yarl==1.18.3
# via aiohttp