# This file was autogenerated by uv via the following command: # uv pip compile --output-file requirements.txt pyproject.toml numpy==1.26.4 # via # auralis # blis # datasets # gguf # gradio # langid # librosa # mistral-common # numba # opencv-python-headless # outlines # pandas # pyloudnorm # scikit-learn # scipy # soundfile # soxr # spacy # thinc # torchvision # transformers # vllm aiofiles==23.2.1 # via # auralis # gradio aiohappyeyeballs==2.4.6 # via aiohttp aiohttp==3.11.12 # via # datasets # fsspec # vllm aiosignal==1.3.2 # via # aiohttp # ray annotated-types==0.7.0 # via pydantic anyio==4.8.0 # via # gradio # httpx # openai # starlette # watchfiles asttokens==3.0.0 # via stack-data async-timeout==5.0.1 # via aiohttp attrs==25.1.0 # via # aiohttp # jsonschema # referencing audioread==3.0.1 # via librosa auralis==0.2.8.post2 # via auralis-tts (pyproject.toml) beautifulsoup4==4.13.3 # via # auralis # bs4 blis==0.7.11 # via thinc bs4==0.0.2 # via auralis-tts (pyproject.toml) bunkai==1.5.7 # via auralis-tts (pyproject.toml) cachetools==5.5.2 # via auralis catalogue==2.0.10 # via # spacy # srsly # thinc certifi==2025.1.31 # via # httpcore # httpx # requests cffi==1.17.1 # via # cryptography # sounddevice # soundfile charset-normalizer==3.4.1 # via # pdfminer-six # requests click==8.1.8 # via # ray # typer # uvicorn cloudpathlib==0.20.0 # via weasel cloudpickle==3.1.1 # via outlines colorama==0.4.6 # via auralis compressed-tensors==0.8.0 # via vllm confection==0.1.5 # via # thinc # weasel cryptography==44.0.1 # via pdfminer-six cutlet==0.5.0 # via auralis cymem==2.0.11 # via # preshed # spacy # thinc dataclasses-json==0.6.7 # via bunkai datasets==2.14.4 # via outlines decorator==5.2.1 # via # ipython # librosa dill==0.3.7 # via # datasets # multiprocess diskcache==5.6.3 # via outlines distro==1.9.0 # via openai docopt==0.6.2 # via num2words ebooklib==0.18 # via auralis einops==0.8.1 # via # auralis # vllm emoji==2.14.1 # via bunkai emojis==0.7.0 # via bunkai exceptiongroup==1.2.2 # via # anyio # ipython # pytest executing==2.2.0 # via stack-data fastapi==0.115.8 # via # gradio # vllm ffmpeg==1.4 # via auralis ffmpy==0.5.0 # via gradio filelock==3.17.0 # via # huggingface-hub # ray # torch # transformers # vllm frozenlist==1.5.0 # via # aiohttp # aiosignal # ray fsspec==2025.2.0 # via # auralis # datasets # gradio-client # huggingface-hub # torch fugashi==1.4.0 # via cutlet future==1.0.0 # via pyloudnorm gguf==0.10.0 # via vllm gradio==5.17.1 # via auralis-tts (pyproject.toml) gradio-client==1.7.1 # via gradio h11==0.14.0 # via # httpcore # uvicorn hangul-romanize==0.1.0 # via auralis httpcore==1.0.7 # via httpx httptools==0.6.4 # via uvicorn httpx==0.28.1 # via # gradio # gradio-client # langsmith # openai # safehttpx huggingface-hub==0.29.1 # via # auralis # datasets # gradio # gradio-client # tokenizers # transformers idna==3.10 # via # anyio # httpx # requests # yarl importlib-metadata==8.6.1 # via vllm iniconfig==2.0.0 # via pytest interegular==0.3.3 # via # lm-format-enforcer # outlines ipython==8.32.0 # via auralis jaconv==0.4.0 # via # auralis-tts (pyproject.toml) # cutlet # yakinori janome==0.5.0 # via bunkai jedi==0.19.2 # via ipython jinja2==3.1.5 # via # gradio # outlines # spacy # torch jiter==0.8.2 # via openai joblib==1.4.2 # via # librosa # scikit-learn jsonpatch==1.33 # via langchain-core jsonpointer==3.0.0 # via jsonpatch jsonschema==4.23.0 # via # mistral-common # outlines # ray jsonschema-specifications==2024.10.1 # via jsonschema langchain-core==0.3.37 # via langchain-text-splitters langchain-text-splitters==0.3.6 # via auralis-tts (pyproject.toml) langcodes==3.5.0 # via spacy langid==1.1.6 # via auralis langsmith==0.3.10 # via langchain-core language-data==1.3.0 # via langcodes lark==1.2.2 # via outlines lazy-loader==0.4 # via librosa librosa==0.10.2.post1 # via auralis llvmlite==0.44.0 # via numba lm-format-enforcer==0.10.10 # via vllm lxml==5.3.1 # via ebooklib marisa-trie==1.2.1 # via language-data markdown==3.7 # via auralis-tts (pyproject.toml) markdown-it-py==3.0.0 # via rich markupsafe==2.1.5 # via # gradio # jinja2 marshmallow==3.26.1 # via dataclasses-json matplotlib-inline==0.1.7 # via ipython mdurl==0.1.2 # via markdown-it-py mecab-python3==1.0.10 # via yakinori mistral-common==1.5.3 # via vllm mojimoji==0.0.13 # via cutlet more-itertools==10.6.0 # via bunkai mpmath==1.3.0 # via sympy msgpack==1.1.0 # via # librosa # ray msgspec==0.19.0 # via vllm multidict==6.1.0 # via # aiohttp # yarl multiprocess==0.70.15 # via datasets murmurhash==1.0.12 # via # preshed # spacy # thinc mypy-extensions==1.0.0 # via typing-inspect nest-asyncio==1.6.0 # via # auralis-tts (pyproject.toml) # outlines networkx==3.4.2 # via # auralis # torch num2words==0.5.14 # via auralis numba==0.61.0 # via # librosa # outlines nvidia-ml-py==12.570.86 # via # auralis # vllm openai==1.64.0 # via vllm opencc==1.1.9 # via auralis opencv-python-headless==4.11.0.86 # via mistral-common orjson==3.10.15 # via # gradio # langsmith outlines==0.0.46 # via vllm packaging==24.2 # via # auralis # datasets # gradio # gradio-client # huggingface-hub # langchain-core # lazy-loader # lm-format-enforcer # marshmallow # pooch # pytest # ray # spacy # thinc # transformers # weasel pandas==2.2.3 # via # datasets # gradio parso==0.8.4 # via jedi partial-json-parser==0.2.1.1.post5 # via vllm pdfminer-six==20231228 # via pdfplumber pdfplumber==0.11.5 # via auralis-tts (pyproject.toml) pexpect==4.9.0 # via ipython pillow==11.1.0 # via # gradio # mistral-common # pdfplumber # torchvision # vllm plac==1.4.3 # via unidic platformdirs==4.3.6 # via pooch pluggy==1.5.0 # via pytest pooch==1.8.2 # via librosa preshed==3.0.9 # via # spacy # thinc prometheus-client==0.21.1 # via # prometheus-fastapi-instrumentator # vllm prometheus-fastapi-instrumentator==7.0.2 # via vllm prompt-toolkit==3.0.50 # via ipython propcache==0.3.0 # via # aiohttp # yarl protobuf==5.29.3 # via # ray # vllm psutil==7.0.0 # via vllm ptyprocess==0.7.0 # via pexpect pure-eval==0.2.3 # via stack-data py-cpuinfo==9.0.0 # via vllm pyairports==2.1.1 # via outlines pyarrow==19.0.1 # via datasets pycountry==24.6.1 # via outlines pycparser==2.22 # via cffi pydantic==2.10.6 # via # compressed-tensors # confection # fastapi # gradio # langchain-core # langsmith # lm-format-enforcer # mistral-common # openai # outlines # spacy # thinc # vllm # weasel pydantic-core==2.27.2 # via pydantic pydub==0.25.1 # via gradio pygments==2.19.1 # via # ipython # rich pyloudnorm==0.1.1 # via auralis pypdfium2==4.30.1 # via pdfplumber pypinyin==0.53.0 # via auralis pytest==8.3.4 # via auralis python-dateutil==2.9.0.post0 # via pandas python-dotenv==1.0.1 # via uvicorn python-multipart==0.0.20 # via gradio pytz==2025.1 # via pandas pyyaml==6.0.2 # via # datasets # gguf # gradio # huggingface-hub # langchain-core # lm-format-enforcer # ray # transformers # uvicorn # vllm pyzmq==26.2.1 # via vllm ray==2.42.1 # via vllm referencing==0.36.2 # via # jsonschema # jsonschema-specifications # outlines regex==2024.11.6 # via # bunkai # tiktoken # transformers requests==2.32.3 # via # datasets # huggingface-hub # langsmith # mistral-common # outlines # pooch # ray # requests-toolbelt # spacy # tiktoken # transformers # unidic # vllm # weasel requests-toolbelt==1.0.0 # via langsmith rich==13.9.4 # via typer rpds-py==0.23.1 # via # jsonschema # referencing ruff==0.9.7 # via gradio safehttpx==0.1.6 # via gradio safetensors==0.5.2 # via # auralis # transformers scikit-learn==1.6.1 # via librosa scipy==1.15.2 # via # librosa # pyloudnorm # scikit-learn semantic-version==2.10.0 # via gradio sentencepiece==0.2.0 # via # mistral-common # vllm setuptools==75.8.0 # via # auralis # marisa-trie # spacy # thinc shellingham==1.5.4 # via typer six==1.17.0 # via # ebooklib # python-dateutil smart-open==7.1.0 # via weasel sniffio==1.3.1 # via # anyio # openai sounddevice==0.5.1 # via auralis soundfile==0.13.1 # via # auralis # librosa soupsieve==2.6 # via beautifulsoup4 soxr==0.5.0.post1 # via librosa spacy==3.7.5 # via auralis spacy-legacy==3.0.12 # via spacy spacy-loggers==1.0.5 # via spacy spans==1.1.1 # via bunkai srsly==2.5.1 # via # confection # spacy # thinc # weasel stack-data==0.6.3 # via ipython starlette==0.45.3 # via # fastapi # gradio # prometheus-fastapi-instrumentator sudachidict-core==20250129 # via auralis-tts (pyproject.toml) sudachipy==0.6.10 # via # auralis-tts (pyproject.toml) # sudachidict-core sympy==1.13.1 # via torch tenacity==9.0.0 # via langchain-core thinc==8.2.5 # via spacy threadpoolctl==3.5.0 # via scikit-learn tiktoken==0.9.0 # via # mistral-common # vllm tokenizers==0.21.0 # via # auralis # transformers # vllm toml==0.10.2 # via bunkai tomli==2.2.1 # via pytest tomlkit==0.13.2 # via gradio tqdm==4.67.1 # via # bunkai # datasets # gguf # huggingface-hub # openai # outlines # spacy # transformers # unidic # vllm traitlets==5.14.3 # via # ipython # matplotlib-inline transformers==4.49.0 # via # auralis # compressed-tensors # vllm typer==0.15.1 # via # gradio # spacy # weasel typing-extensions==4.12.2 # via # anyio # beautifulsoup4 # cloudpathlib # fastapi # gradio # gradio-client # huggingface-hub # ipython # langchain-core # librosa # mistral-common # multidict # openai # outlines # pydantic # pydantic-core # referencing # rich # torch # typer # typing-inspect # uvicorn # vllm typing-inspect==0.9.0 # via dataclasses-json tzdata==2025.1 # via pandas unidic==1.1.0 # via auralis-tts (pyproject.toml) urllib3==2.3.0 # via requests uvicorn==0.34.0 # via # gradio # vllm uvloop==0.21.0 # via uvicorn wasabi==0.10.1 # via # spacy # thinc # unidic # weasel watchfiles==1.0.4 # via uvicorn wcwidth==0.2.13 # via prompt-toolkit weasel==0.4.1 # via spacy websockets==14.2 # via # gradio-client # uvicorn wrapt==1.17.2 # via smart-open xxhash==3.5.0 # via datasets yakinori==0.1.2 # via auralis-tts (pyproject.toml) yarl==1.18.3 # via aiohttp zipp==3.21.0 # via importlib-metadata zstandard==0.23.0 # via langsmith