# 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