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requirements.txt
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# This file was autogenerated by uv via the following command:
# uv pip compile pyproject.toml -o requirements.txt
accelerate==1.0.1
# via
# mnemonic-gen (pyproject.toml)
# peft
# trl
aiofiles==23.2.1
# via gradio
aiohappyeyeballs==2.4.3
# via aiohttp
aiohttp==3.10.10
# via
# datasets
# fsspec
aiosignal==1.3.1
# via aiohttp
annotated-types==0.7.0
# via pydantic
anyio==4.6.2.post1
# via
# gradio
# httpx
# openai
# starlette
async-timeout==4.0.3
# via aiohttp
attrs==23.2.0
# via aiohttp
certifi==2024.8.30
# via
# httpcore
# httpx
# requests
# sentry-sdk
cfgv==3.4.0
# via pre-commit
charset-normalizer==3.4.0
# via requests
click==8.1.7
# via
# typer
# uvicorn
# wandb
datasets==2.19.1
# via
# mnemonic-gen (pyproject.toml)
# evaluate
# trl
dill==0.3.8
# via
# datasets
# evaluate
# multiprocess
distlib==0.3.9
# via virtualenv
distro==1.9.0
# via openai
docker-pycreds==0.4.0
# via wandb
docstring-parser==0.16
# via tyro
evaluate==0.4.3
# via mnemonic-gen (pyproject.toml)
exceptiongroup==1.2.2
# via anyio
fastapi==0.115.4
# via gradio
ffmpy==0.4.0
# via gradio
filelock==3.16.1
# via
# datasets
# huggingface-hub
# torch
# transformers
# triton
# virtualenv
frozenlist==1.5.0
# via
# aiohttp
# aiosignal
fsspec==2024.3.1
# via
# datasets
# evaluate
# gradio-client
# huggingface-hub
# torch
gitdb==4.0.12
# via gitpython
gitpython==3.1.44
# via wandb
gradio==5.4.0
# via spaces
gradio-client==1.4.2
# via gradio
h11==0.14.0
# via
# httpcore
# uvicorn
hf-transfer==0.1.8
# via mnemonic-gen (pyproject.toml)
httpcore==1.0.6
# via httpx
httpx==0.27.2
# via
# gradio
# gradio-client
# openai
# safehttpx
# spaces
huggingface-hub==0.26.1
# via
# accelerate
# datasets
# evaluate
# gradio
# gradio-client
# peft
# tokenizers
# transformers
identify==2.6.7
# via pre-commit
idna==3.10
# via
# anyio
# httpx
# requests
# yarl
jinja2==3.1.4
# via
# gradio
# torch
jiter==0.8.2
# via openai
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via
# gradio
# jinja2
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
multidict==6.1.0
# via
# aiohttp
# yarl
multiprocess==0.70.16
# via
# datasets
# evaluate
networkx==3.4.2
# via torch
nodeenv==1.9.1
# via pre-commit
numpy==1.26.4
# via
# mnemonic-gen (pyproject.toml)
# accelerate
# datasets
# evaluate
# gradio
# pandas
# peft
# transformers
# trl
nvidia-cublas-cu12==12.1.3.1
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.1.105
# via torch
nvidia-cuda-nvrtc-cu12==12.1.105
# via torch
nvidia-cuda-runtime-cu12==12.1.105
# via torch
nvidia-cudnn-cu12==9.1.0.70
# via torch
nvidia-cufft-cu12==11.0.2.54
# via torch
nvidia-curand-cu12==10.3.2.106
# via torch
nvidia-cusolver-cu12==11.4.5.107
# via torch
nvidia-cusparse-cu12==12.1.0.106
# via
# nvidia-cusolver-cu12
# torch
nvidia-nccl-cu12==2.20.5
# via torch
nvidia-nvjitlink-cu12==12.4.127
# via
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
openai==1.63.2
# via mnemonic-gen (pyproject.toml)
orjson==3.10.10
# via gradio
packaging==24.1
# via
# accelerate
# datasets
# evaluate
# gradio
# gradio-client
# huggingface-hub
# peft
# spaces
# transformers
pandas==2.2.3
# via
# datasets
# evaluate
# gradio
peft==0.13.2
# via mnemonic-gen (pyproject.toml)
pillow==11.0.0
# via gradio
platformdirs==4.3.6
# via
# virtualenv
# wandb
pre-commit==4.1.0
# via mnemonic-gen (pyproject.toml)
propcache==0.2.0
# via yarl
protobuf==3.20.3
# via wandb
psutil==5.9.8
# via
# accelerate
# peft
# spaces
# wandb
pyarrow==18.1.0
# via datasets
pyarrow-hotfix==0.6
# via datasets
pydantic==2.9.2
# via
# fastapi
# gradio
# openai
# spaces
# wandb
pydantic-core==2.23.4
# via pydantic
pydub==0.25.1
# via gradio
pygments==2.18.0
# via rich
python-dateutil==2.8.2
# via pandas
python-dotenv==1.0.1
# via mnemonic-gen (pyproject.toml)
python-multipart==0.0.12
# via gradio
pytz==2024.2
# via pandas
pyyaml==6.0.2
# via
# mnemonic-gen (pyproject.toml)
# accelerate
# datasets
# gradio
# huggingface-hub
# peft
# pre-commit
# transformers
# wandb
regex==2024.9.11
# via transformers
requests==2.31.0
# via
# datasets
# evaluate
# huggingface-hub
# spaces
# transformers
# wandb
rich==13.9.3
# via
# typer
# tyro
ruff==0.9.7
# via
# mnemonic-gen (pyproject.toml)
# gradio
safehttpx==0.1.1
# via gradio
safetensors==0.4.5
# via
# accelerate
# peft
# transformers
semantic-version==2.10.0
# via gradio
sentry-sdk==2.22.0
# via wandb
setproctitle==1.3.4
# via wandb
setuptools==75.8.0
# via wandb
shellingham==1.5.4
# via typer
shtab==1.7.1
# via tyro
six==1.16.0
# via
# docker-pycreds
# python-dateutil
smmap==5.0.2
# via gitdb
sniffio==1.3.1
# via
# anyio
# httpx
# openai
spaces==0.31.0
# via mnemonic-gen (pyproject.toml)
starlette==0.41.2
# via
# fastapi
# gradio
sympy==1.13.1
# via torch
tokenizers==0.21.0
# via transformers
tomlkit==0.12.0
# via gradio
torch==2.4.0
# via
# mnemonic-gen (pyproject.toml)
# accelerate
# peft
# trl
tqdm==4.67.1
# via
# mnemonic-gen (pyproject.toml)
# datasets
# evaluate
# huggingface-hub
# openai
# peft
# transformers
transformers==4.47.0
# via
# mnemonic-gen (pyproject.toml)
# peft
# trl
triton==3.0.0
# via torch
trl==0.11.4
# via mnemonic-gen (pyproject.toml)
typeguard==4.4.1
# via tyro
typer==0.12.5
# via gradio
typing-extensions==4.12.2
# via
# anyio
# fastapi
# gradio
# gradio-client
# huggingface-hub
# multidict
# openai
# pydantic
# pydantic-core
# rich
# spaces
# torch
# typeguard
# typer
# tyro
# uvicorn
# wandb
tyro==0.9.2
# via trl
tzdata==2024.2
# via pandas
urllib3==1.26.20
# via
# requests
# sentry-sdk
uvicorn==0.32.0
# via gradio
virtualenv==20.29.2
# via pre-commit
wandb==0.19.7
# via mnemonic-gen (pyproject.toml)
websockets==12.0
# via gradio-client
xxhash==3.5.0
# via
# datasets
# evaluate
yarl==1.17.0
# via aiohttp