# # This file is autogenerated by pip-compile with Python 3.11 # by the following command: # # pip-compile # aiofiles==23.2.1 # via gradio aiohttp==3.8.5 # via # datasets # fsspec aiosignal==1.3.1 # via aiohttp altair==5.1.2 # via gradio annotated-types==0.5.0 # via pydantic anyio==3.7.1 # via # fastapi # httpcore # starlette apscheduler==3.10.4 # via -r requirements.in arxiv==1.4.8 # via -r requirements.in async-timeout==4.0.3 # via aiohttp attrs==23.1.0 # via # aiohttp # jsonschema # referencing cachetools==5.3.1 # via -r requirements.in certifi==2023.7.22 # via # httpcore # httpx # requests charset-normalizer==3.3.0 # via # aiohttp # requests click==8.1.7 # via # nltk # uvicorn contourpy==1.1.1 # via matplotlib cycler==0.12.0 # via matplotlib datasets==2.14.5 # via # evaluate # setfit dill==0.3.7 # via # datasets # evaluate # multiprocess evaluate==0.4.0 # via setfit fastapi==0.103.2 # via gradio feedparser==6.0.10 # via arxiv ffmpy==0.3.1 # via gradio filelock==3.12.4 # via # huggingface-hub # torch # transformers fonttools==4.43.0 # via matplotlib frozenlist==1.4.0 # via # aiohttp # aiosignal fsspec[http]==2023.6.0 # via # datasets # evaluate # gradio-client # huggingface-hub # torch gradio==3.46.1 # via -r requirements.in gradio-client==0.5.3 # via gradio h11==0.14.0 # via # httpcore # uvicorn hf-transfer==0.1.3 # via -r requirements.in httpcore==0.18.0 # via httpx httpx==0.25.0 # via # gradio # gradio-client huggingface-hub==0.16.4 # via # datasets # evaluate # gradio # gradio-client # sentence-transformers # tokenizers # transformers idna==3.4 # via # anyio # httpx # requests # yarl importlib-resources==6.1.0 # via gradio jinja2==3.1.2 # via # altair # gradio # torch joblib==1.3.2 # via # nltk # scikit-learn jsonschema==4.19.1 # via altair jsonschema-specifications==2023.7.1 # via jsonschema kiwisolver==1.4.5 # via matplotlib markupsafe==2.1.3 # via # gradio # jinja2 matplotlib==3.8.0 # via gradio mpmath==1.3.0 # via sympy multidict==6.0.4 # via # aiohttp # yarl multiprocess==0.70.15 # via # datasets # evaluate networkx==3.1 # via torch nltk==3.8.1 # via sentence-transformers numpy==1.26.0 # via # altair # contourpy # datasets # evaluate # gradio # matplotlib # pandas # pyarrow # scikit-learn # scipy # sentence-transformers # torchvision # transformers orjson==3.9.7 # via gradio packaging==23.2 # via # altair # datasets # evaluate # gradio # gradio-client # huggingface-hub # matplotlib # transformers pandas==2.1.1 # via # altair # datasets # evaluate # gradio pillow==10.0.1 # via # gradio # matplotlib # torchvision pyarrow==13.0.0 # via datasets pydantic==2.4.2 # via # fastapi # gradio pydantic-core==2.10.1 # via pydantic pydub==0.25.1 # via gradio pyparsing==3.1.1 # via matplotlib python-dateutil==2.8.2 # via # matplotlib # pandas python-multipart==0.0.6 # via gradio pytz==2023.3.post1 # via # apscheduler # pandas pyyaml==6.0.1 # via # datasets # gradio # huggingface-hub # transformers referencing==0.30.2 # via # jsonschema # jsonschema-specifications regex==2023.10.3 # via # nltk # transformers requests==2.31.0 # via # datasets # evaluate # fsspec # gradio # gradio-client # huggingface-hub # responses # torchvision # transformers responses==0.18.0 # via evaluate rpds-py==0.10.4 # via # jsonschema # referencing safetensors==0.3.3 # via transformers scikit-learn==1.2.2 # via # -r requirements.in # sentence-transformers scipy==1.11.3 # via # scikit-learn # sentence-transformers semantic-version==2.10.0 # via gradio sentence-transformers==2.2.2 # via setfit sentencepiece==0.1.99 # via sentence-transformers setfit==0.7.0 # via -r requirements.in sgmllib3k==1.0.0 # via feedparser six==1.16.0 # via # apscheduler # python-dateutil sniffio==1.3.0 # via # anyio # httpcore # httpx stamina==23.1.0 # via -r requirements.in starlette==0.27.0 # via fastapi sympy==1.12 # via torch tenacity==8.2.3 # via stamina threadpoolctl==3.2.0 # via scikit-learn tokenizers==0.14.0 # via transformers toolz==0.12.0 # via altair torch==2.1.0 # via # sentence-transformers # torchvision torchvision==0.16.0 # via sentence-transformers tqdm==4.66.1 # via # datasets # evaluate # huggingface-hub # nltk # sentence-transformers # transformers transformers==4.34.0 # via sentence-transformers typing-extensions==4.8.0 # via # fastapi # gradio # gradio-client # huggingface-hub # pydantic # pydantic-core # torch tzdata==2023.3 # via pandas tzlocal==5.1 # via apscheduler urllib3==2.0.6 # via # requests # responses uvicorn==0.23.2 # via gradio websockets==11.0.3 # via # gradio # gradio-client xxhash==3.4.1 # via # datasets # evaluate yarl==1.9.2 # via aiohttp