# This file was autogenerated by uv via the following command: # uv pip compile requirements.in -o requirements.txt aiofiles==23.2.1 # via gradio aiohttp==3.9.5 # via # datasets # fsspec aiosignal==1.3.1 # via aiohttp altair==5.3.0 # via gradio annotated-types==0.7.0 # via pydantic anyio==4.4.0 # via # httpx # starlette # watchfiles apscheduler==3.10.4 # via -r requirements.in arxiv==2.1.0 # via -r requirements.in attrs==23.2.0 # via # aiohttp # jsonschema # referencing cachetools==5.3.3 # via -r requirements.in certifi==2024.6.2 # via # httpcore # httpx # requests charset-normalizer==3.3.2 # via requests click==8.1.7 # via # typer # uvicorn contourpy==1.2.1 # via matplotlib cycler==0.12.1 # via matplotlib datasets==2.14.4 # via # evaluate # setfit dill==0.3.7 # via # datasets # evaluate # multiprocess dnspython==2.6.1 # via email-validator email-validator==2.1.1 # via fastapi evaluate==0.4.2 # via setfit fastapi==0.111.0 # via gradio fastapi-cli==0.0.4 # via fastapi feedparser==6.0.10 # via arxiv ffmpy==0.3.2 # via gradio filelock==3.14.0 # via # huggingface-hub # torch # transformers fonttools==4.53.0 # via matplotlib frozenlist==1.4.1 # via # aiohttp # aiosignal fsspec==2024.6.0 # via # datasets # evaluate # gradio-client # huggingface-hub # torch gradio==4.36.1 # via -r requirements.in gradio-client==1.0.1 # via gradio h11==0.14.0 # via # httpcore # uvicorn hf-transfer==0.1.6 # via -r requirements.in httpcore==1.0.5 # via httpx httptools==0.6.1 # via uvicorn httpx==0.27.0 # via # fastapi # gradio # gradio-client huggingface-hub==0.23.3 # via # datasets # evaluate # gradio # gradio-client # sentence-transformers # setfit # tokenizers # transformers idna==3.7 # via # anyio # email-validator # httpx # requests # yarl importlib-resources==6.4.0 # via gradio jinja2==3.1.4 # via # altair # fastapi # gradio # torch joblib==1.4.2 # via scikit-learn jsonschema==4.22.0 # via altair jsonschema-specifications==2023.12.1 # via jsonschema kiwisolver==1.4.5 # via matplotlib markdown-it-py==3.0.0 # via rich markupsafe==2.1.5 # via # gradio # jinja2 matplotlib==3.9.0 # via gradio mdurl==0.1.2 # via markdown-it-py mpmath==1.3.0 # via sympy multidict==6.0.5 # via # aiohttp # yarl multiprocess==0.70.15 # via # datasets # evaluate networkx==3.3 # via torch numpy==1.26.4 # via # altair # contourpy # datasets # evaluate # gradio # matplotlib # pandas # pyarrow # scikit-learn # scipy # sentence-transformers # transformers orjson==3.10.3 # via # fastapi # gradio packaging==24.1 # via # altair # datasets # evaluate # gradio # gradio-client # huggingface-hub # matplotlib # setfit # transformers pandas==2.2.2 # via # altair # datasets # evaluate # gradio pillow==10.3.0 # via # gradio # matplotlib # sentence-transformers pyarrow==16.1.0 # via datasets pydantic==2.7.3 # via # fastapi # gradio pydantic-core==2.18.4 # via pydantic pydub==0.25.1 # via gradio pygments==2.18.0 # via rich pyparsing==3.1.2 # via matplotlib python-dateutil==2.9.0.post0 # via # matplotlib # pandas python-dotenv==1.0.1 # via uvicorn python-multipart==0.0.9 # via # fastapi # gradio pytz==2024.1 # via # apscheduler # pandas pyyaml==6.0.1 # via # datasets # gradio # huggingface-hub # transformers # uvicorn referencing==0.35.1 # via # jsonschema # jsonschema-specifications regex==2024.5.15 # via transformers requests==2.31.0 # via # arxiv # datasets # evaluate # huggingface-hub # transformers rich==13.7.1 # via typer rpds-py==0.18.1 # via # jsonschema # referencing ruff==0.4.8 # via gradio safetensors==0.4.3 # via transformers scikit-learn==1.2.2 # via # -r requirements.in # sentence-transformers # setfit scipy==1.13.1 # via # scikit-learn # sentence-transformers semantic-version==2.10.0 # via gradio sentence-transformers==3.0.1 # via setfit setfit==1.0.3 # via -r requirements.in sgmllib3k==1.0.0 # via feedparser shellingham==1.5.4 # via typer six==1.16.0 # via # apscheduler # python-dateutil sniffio==1.3.1 # via # anyio # httpx stamina==24.2.0 # via -r requirements.in starlette==0.37.2 # via fastapi sympy==1.12.1 # via torch tenacity==8.3.0 # via stamina threadpoolctl==3.5.0 # via scikit-learn tokenizers==0.19.1 # via transformers tomlkit==0.12.0 # via gradio toolz==0.12.1 # via altair torch==2.3.1 # via sentence-transformers tqdm==4.66.4 # via # datasets # evaluate # huggingface-hub # sentence-transformers # transformers transformers==4.41.2 # via sentence-transformers typer==0.12.3 # via # fastapi-cli # gradio typing-extensions==4.12.2 # via # fastapi # gradio # gradio-client # huggingface-hub # pydantic # pydantic-core # torch # typer tzdata==2024.1 # via pandas tzlocal==5.2 # via apscheduler ujson==5.10.0 # via fastapi urllib3==2.2.1 # via # gradio # requests uvicorn==0.30.1 # via # fastapi # gradio uvloop==0.19.0 # via uvicorn watchfiles==0.22.0 # via uvicorn websockets==11.0.3 # via # gradio-client # uvicorn xxhash==3.4.1 # via # datasets # evaluate yarl==1.9.4 # via aiohttp