# This file was autogenerated by uv via the following command: # uv pip compile pyproject.toml -o requirements.txt absl-py==2.4.0 # via tensorboard aiofiles==24.1.0 # via gradio aiohappyeyeballs==2.6.1 # via aiohttp aiohttp==3.13.5 # via # datasets # fsspec aiosignal==1.4.0 # via aiohttp annotated-doc==0.0.4 # via # fastapi # typer annotated-types==0.7.0 # via pydantic antlr4-python3-runtime==4.9.3 # via # hydra-core # omegaconf anyio==4.13.0 # via # gradio # httpx # starlette argbind==0.3.9 # via # descript-audio-codec # descript-audiotools asttokens==3.0.1 # via stack-data async-timeout==5.0.1 # via aiohttp attrs==26.1.0 # via aiohttp audioread==3.1.0 # via librosa baize==0.23.1 # via kui brotli==1.2.0 # via gradio cachetools==7.0.5 # via fish-speech (pyproject.toml) certifi==2026.2.25 # via # httpcore # httpx # requests # sentry-sdk cffi==2.0.0 # via soundfile charset-normalizer==3.4.7 # via requests click==8.3.2 # via # typer # uvicorn # wandb contourpy==1.3.2 # via matplotlib cycler==0.12.1 # via matplotlib datasets==2.18.0 # via fish-speech (pyproject.toml) decorator==5.2.1 # via # ipython # librosa descript-audio-codec==1.0.0 # via fish-speech (pyproject.toml) descript-audiotools==0.7.2 # via descript-audio-codec dill==0.3.8 # via # datasets # multiprocess docstring-parser==0.17.0 # via argbind einops==0.8.2 # via # fish-speech (pyproject.toml) # descript-audio-codec einx==0.2.2 # via fish-speech (pyproject.toml) exceptiongroup==1.3.1 # via # anyio # ipython executing==2.2.1 # via stack-data fastapi==0.135.3 # via gradio ffmpy==1.0.0 # via # descript-audiotools # gradio filelock==3.25.2 # via # datasets # huggingface-hub # torch # transformers fire==0.7.1 # via randomname flatten-dict==0.4.2 # via descript-audiotools fonttools==4.62.1 # via matplotlib frozendict==2.4.7 # via einx frozenlist==1.8.0 # via # aiohttp # aiosignal fsspec==2024.2.0 # via # datasets # gradio-client # huggingface-hub # lightning # pytorch-lightning # torch gitdb==4.0.12 # via gitpython gitpython==3.1.46 # via wandb gradio==6.11.0 # via fish-speech (pyproject.toml) gradio-client==2.4.0 # via # gradio # hf-gradio groovy==0.1.2 # via gradio grpcio==1.80.0 # via # fish-speech (pyproject.toml) # tensorboard h11==0.16.0 # via # httpcore # uvicorn hf-gradio==0.3.0 # via gradio hf-xet==1.4.3 # via huggingface-hub httpcore==1.0.9 # via httpx httpx==0.28.1 # via # gradio # gradio-client # safehttpx huggingface-hub==0.36.2 # via # datasets # gradio # gradio-client # tokenizers # transformers hydra-core==1.3.2 # via fish-speech (pyproject.toml) idna==3.11 # via # anyio # httpx # requests # yarl importlib-resources==6.5.2 # via descript-audiotools ipython==8.39.0 # via descript-audiotools jedi==0.19.2 # via ipython jinja2==3.1.6 # via # gradio # torch joblib==1.5.3 # via # librosa # scikit-learn julius==0.2.7 # via descript-audiotools kiwisolver==1.5.0 # via matplotlib kui==1.14.1 # via fish-speech (pyproject.toml) lazy-loader==0.5 # via librosa librosa==0.11.0 # via # fish-speech (pyproject.toml) # descript-audiotools lightning==2.6.1 # via fish-speech (pyproject.toml) lightning-utilities==0.15.3 # via # lightning # pytorch-lightning # torchmetrics llvmlite==0.47.0 # via numba loguru==0.7.3 # via fish-speech (pyproject.toml) loralib==0.1.2 # via fish-speech (pyproject.toml) markdown==3.10.2 # via tensorboard markdown-it-py==4.0.0 # via rich markdown2==2.5.5 # via descript-audiotools markupsafe==3.0.3 # via # gradio # jinja2 # werkzeug matplotlib==3.10.8 # via descript-audiotools matplotlib-inline==0.2.1 # via ipython mdurl==0.1.2 # via markdown-it-py modelscope==1.17.1 # via fish-speech (pyproject.toml) mpmath==1.3.0 # via sympy msgpack==1.1.2 # via librosa multidict==6.7.1 # via # aiohttp # yarl multiprocess==0.70.16 # via datasets natsort==8.4.0 # via fish-speech (pyproject.toml) networkx==3.4.2 # via torch numba==0.65.0 # via # librosa # resampy numpy==2.2.6 # via # fish-speech (pyproject.toml) # contourpy # datasets # descript-audio-codec # descript-audiotools # einx # gradio # librosa # matplotlib # numba # pandas # pyloudnorm # pystoi # resampy # scikit-learn # scipy # soundfile # soxr # tensorboard # torch-stoi # torchmetrics # transformers omegaconf==2.3.0 # via hydra-core opencc-python-reimplemented==0.1.7 # via fish-speech (pyproject.toml) orjson==3.11.8 # via gradio ormsgpack==1.12.2 # via fish-speech (pyproject.toml) packaging==26.0 # via # datasets # gradio # gradio-client # huggingface-hub # hydra-core # lazy-loader # lightning # lightning-utilities # matplotlib # pooch # pytorch-lightning # silero-vad # tensorboard # torchmetrics # transformers # wandb pandas==2.3.3 # via # datasets # gradio parso==0.8.6 # via jedi pexpect==4.9.0 # via ipython pillow==12.2.0 # via # gradio # matplotlib # tensorboard platformdirs==4.9.6 # via # pooch # wandb pooch==1.9.0 # via librosa prompt-toolkit==3.0.52 # via ipython propcache==0.4.1 # via # aiohttp # yarl protobuf==5.29.6 # via # --override (workspace) # descript-audiotools # tensorboard # wandb ptyprocess==0.7.0 # via pexpect pure-eval==0.2.3 # via stack-data pyarrow==23.0.1 # via datasets pyarrow-hotfix==0.7 # via datasets pyaudio==0.2.14 # via fish-speech (pyproject.toml) pycparser==3.0 # via cffi pydantic==2.9.2 # via # fish-speech (pyproject.toml) # fastapi # gradio # kui # wandb pydantic-core==2.23.4 # via pydantic pydub==0.25.1 # via # fish-speech (pyproject.toml) # gradio pygments==2.20.0 # via # ipython # rich pyloudnorm==0.2.0 # via descript-audiotools pyparsing==3.3.2 # via matplotlib pyrootutils==1.0.4 # via fish-speech (pyproject.toml) pystoi==0.4.1 # via # descript-audiotools # torch-stoi python-dateutil==2.9.0.post0 # via # matplotlib # pandas python-dotenv==1.2.2 # via pyrootutils python-multipart==0.0.24 # via gradio pytorch-lightning==2.6.1 # via lightning pytz==2026.1.post1 # via # gradio # pandas pyyaml==6.0.3 # via # argbind # datasets # gradio # huggingface-hub # lightning # omegaconf # pytorch-lightning # transformers # wandb randomname==0.2.1 # via descript-audiotools regex==2026.4.4 # via # tiktoken # transformers requests==2.33.1 # via # datasets # huggingface-hub # modelscope # pooch # tiktoken # transformers # wandb resampy==0.4.3 # via fish-speech (pyproject.toml) rich==14.3.3 # via # fish-speech (pyproject.toml) # descript-audiotools # typer safehttpx==0.1.7 # via gradio safetensors==0.7.0 # via # fish-speech (pyproject.toml) # transformers scikit-learn==1.7.2 # via librosa scipy==1.15.3 # via # descript-audiotools # librosa # pyloudnorm # pystoi # scikit-learn semantic-version==2.10.0 # via gradio sentry-sdk==2.57.0 # via wandb setuptools==82.0.1 # via tensorboard shellingham==1.5.4 # via typer silero-vad==6.2.1 # via fish-speech (pyproject.toml) six==1.17.0 # via # flatten-dict # python-dateutil smmap==5.0.3 # via gitdb soundfile==0.13.1 # via # descript-audiotools # librosa soxr==1.0.0 # via librosa stack-data==0.6.3 # via ipython starlette==1.0.0 # via # fastapi # gradio sympy==1.14.0 # via # einx # torch tensorboard==2.20.0 # via # fish-speech (pyproject.toml) # descript-audiotools tensorboard-data-server==0.7.2 # via tensorboard termcolor==3.3.0 # via fire threadpoolctl==3.6.0 # via scikit-learn tiktoken==0.12.0 # via fish-speech (pyproject.toml) tokenizers==0.22.2 # via transformers tomlkit==0.13.3 # via gradio torch==2.8.0 # via # fish-speech (pyproject.toml) # descript-audio-codec # descript-audiotools # einx # julius # lightning # pytorch-lightning # silero-vad # torch-stoi # torchaudio # torchmetrics torch-stoi==0.2.3 # via descript-audiotools torchaudio==2.8.0 # via # fish-speech (pyproject.toml) # descript-audio-codec # descript-audiotools # silero-vad # torch-stoi torchmetrics==1.9.0 # via # lightning # pytorch-lightning tqdm==4.67.3 # via # datasets # descript-audio-codec # descript-audiotools # huggingface-hub # lightning # modelscope # pytorch-lightning # transformers traitlets==5.14.3 # via # ipython # matplotlib-inline transformers==4.57.3 # via fish-speech (pyproject.toml) typer==0.24.1 # via # gradio # hf-gradio typing-extensions==4.15.0 # via # aiosignal # anyio # exceptiongroup # fastapi # gradio # gradio-client # grpcio # huggingface-hub # ipython # kui # librosa # lightning # lightning-utilities # multidict # pydantic # pydantic-core # pytorch-lightning # starlette # torch # typing-inspection # uvicorn # wandb typing-inspection==0.4.2 # via fastapi tzdata==2026.1 # via pandas urllib3==2.6.3 # via # modelscope # requests # sentry-sdk uvicorn==0.44.0 # via # fish-speech (pyproject.toml) # gradio wandb==0.25.1 # via fish-speech (pyproject.toml) wcwidth==0.6.0 # via prompt-toolkit werkzeug==3.1.8 # via tensorboard xxhash==3.6.0 # via datasets yarl==1.23.0 # via aiohttp zstandard==0.25.0 # via fish-speech (pyproject.toml)