# # This file is autogenerated by pip-compile with Python 3.11 # by the following command: # # pip-compile --resolver=backtracking # aiofiles==23.1.0 # via gradio aiohttp==3.8.4 # via # datasets # fsspec # gradio aiosignal==1.3.1 # via aiohttp altair==5.0.1 # via gradio anyio==3.7.0 # via # httpcore # starlette async-timeout==4.0.2 # via aiohttp attrs==23.1.0 # via # aiohttp # jsonschema bertopic==0.15.0 # via -r requirements.in certifi==2023.5.7 # via # httpcore # httpx # requests charset-normalizer==3.1.0 # via # aiohttp # requests click==8.1.3 # via # nltk # uvicorn contourpy==1.0.7 # via matplotlib cycler==0.11.0 # via matplotlib cython==0.29.35 # via hdbscan datasets==2.12.0 # via -r requirements.in dill==0.3.6 # via # datasets # multiprocess fastapi==0.96.0 # via gradio fastjsonschema==2.17.1 # via nbformat ffmpy==0.3.0 # via gradio filelock==3.12.0 # via # huggingface-hub # torch # transformers fonttools==4.39.4 # via matplotlib frozenlist==1.3.3 # via # aiohttp # aiosignal fsspec[http]==2023.5.0 # via # datasets # gradio-client # huggingface-hub gradio==3.33.1 # via -r requirements.in gradio-client==0.2.5 # via gradio h11==0.14.0 # via # httpcore # uvicorn hdbscan==0.8.29 # via bertopic httpcore==0.17.2 # via httpx httpx==0.24.1 # via # gradio # gradio-client huggingface-hub==0.15.1 # via # datasets # gradio # gradio-client # sentence-transformers # transformers idna==3.4 # via # anyio # httpx # requests # yarl jinja2==3.1.2 # via # altair # gradio # torch joblib==1.2.0 # via # hdbscan # nltk # pynndescent # scikit-learn jsonschema==4.17.3 # via # altair # nbformat jupyter-core==5.3.0 # via nbformat kiwisolver==1.4.4 # via matplotlib linkify-it-py==2.0.2 # via markdown-it-py llvmlite==0.40.0 # via # numba # pynndescent markdown-it-py[linkify]==2.2.0 # via # gradio # mdit-py-plugins markupsafe==2.1.3 # via # gradio # jinja2 matplotlib==3.7.1 # via gradio mdit-py-plugins==0.3.3 # via gradio mdurl==0.1.2 # via markdown-it-py mpmath==1.3.0 # via sympy multidict==6.0.4 # via # aiohttp # yarl multiprocess==0.70.14 # via datasets nbformat==5.9.0 # via -r requirements.in networkx==3.1 # via torch nltk==3.8.1 # via sentence-transformers numba==0.57.0 # via # pynndescent # umap-learn numpy==1.24.3 # via # altair # bertopic # contourpy # datasets # gradio # hdbscan # matplotlib # numba # pandas # pyarrow # scikit-learn # scipy # sentence-transformers # torchvision # transformers # umap-learn orjson==3.9.0 # via gradio packaging==23.1 # via # datasets # gradio-client # huggingface-hub # matplotlib # plotly # transformers pandas==2.0.2 # via # altair # bertopic # datasets # gradio pillow==9.5.0 # via # gradio # matplotlib # torchvision platformdirs==3.5.1 # via jupyter-core plotly==5.14.1 # via bertopic pyarrow==12.0.0 # via datasets pydantic==1.10.8 # via # fastapi # gradio pydub==0.25.1 # via gradio pygments==2.15.1 # via gradio pynndescent==0.5.10 # via umap-learn pyparsing==3.0.9 # via matplotlib pyrsistent==0.19.3 # via jsonschema python-dateutil==2.8.2 # via # matplotlib # pandas python-multipart==0.0.6 # via gradio pytz==2023.3 # via pandas pyyaml==6.0 # via # datasets # gradio # huggingface-hub # transformers regex==2023.6.3 # via # nltk # transformers requests==2.31.0 # via # datasets # fsspec # gradio # gradio-client # huggingface-hub # responses # torchvision # transformers responses==0.18.0 # via datasets safetensors==0.3.1 # via -r requirements.in scikit-learn==1.2.2 # via # bertopic # hdbscan # pynndescent # sentence-transformers # umap-learn scipy==1.10.1 # via # hdbscan # pynndescent # scikit-learn # sentence-transformers # umap-learn semantic-version==2.10.0 # via gradio sentence-transformers==2.2.2 # via bertopic sentencepiece==0.1.99 # via sentence-transformers six==1.16.0 # via python-dateutil sniffio==1.3.0 # via # anyio # httpcore # httpx starlette==0.27.0 # via fastapi sympy==1.12 # via torch tenacity==8.2.2 # via plotly threadpoolctl==3.1.0 # via scikit-learn tokenizers==0.13.3 # via transformers toolz==0.12.0 # via altair torch==2.0.1 # via # sentence-transformers # torchvision torchvision==0.15.2 # via sentence-transformers tqdm==4.65.0 # via # bertopic # datasets # huggingface-hub # nltk # sentence-transformers # transformers # umap-learn traitlets==5.9.0 # via # jupyter-core # nbformat transformers==4.29.2 # via sentence-transformers typing-extensions==4.6.3 # via # gradio # gradio-client # huggingface-hub # pydantic # torch tzdata==2023.3 # via pandas uc-micro-py==1.0.2 # via linkify-it-py umap-learn==0.5.3 # via bertopic urllib3==2.0.2 # via # requests # responses uvicorn==0.22.0 # via gradio websockets==11.0.3 # via # gradio # gradio-client xxhash==3.2.0 # via datasets yarl==1.9.2 # via aiohttp