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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 swallow-13b-instruct (pyproject.toml)
aiofiles==23.2.1
# via gradio
annotated-types==0.7.0
# via pydantic
anyio==4.6.2.post1
# via
# gradio
# httpx
# starlette
bitsandbytes==0.44.1
# via swallow-13b-instruct (pyproject.toml)
blobfile==3.0.0
# via swallow-13b-instruct (pyproject.toml)
certifi==2024.8.30
# via
# httpcore
# httpx
# requests
charset-normalizer==3.4.0
# via requests
click==8.1.7
# via
# typer
# uvicorn
exceptiongroup==1.2.2
# via anyio
fastapi==0.115.2
# via gradio
ffmpy==0.4.0
# via gradio
filelock==3.16.1
# via
# blobfile
# huggingface-hub
# torch
# transformers
# triton
fsspec==2024.9.0
# via
# gradio-client
# huggingface-hub
# torch
gradio==5.1.0
# via
# swallow-13b-instruct (pyproject.toml)
# spaces
gradio-client==1.4.0
# via gradio
h11==0.14.0
# via
# httpcore
# uvicorn
hf-transfer==0.1.8
# via swallow-13b-instruct (pyproject.toml)
httpcore==1.0.6
# via httpx
httpx==0.27.2
# via
# gradio
# gradio-client
# spaces
huggingface-hub==0.26.0
# via
# accelerate
# gradio
# gradio-client
# tokenizers
# transformers
idna==3.10
# via
# anyio
# httpx
# requests
jinja2==3.1.4
# via
# gradio
# torch
lxml==5.3.0
# via blobfile
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
networkx==3.4.1
# via torch
numpy==2.1.2
# via
# accelerate
# bitsandbytes
# gradio
# pandas
# transformers
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==12.6.77
# via
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
orjson==3.10.9
# via gradio
packaging==24.1
# via
# accelerate
# gradio
# gradio-client
# huggingface-hub
# spaces
# transformers
pandas==2.2.3
# via gradio
pillow==10.4.0
# via gradio
protobuf==5.28.2
# via swallow-13b-instruct (pyproject.toml)
psutil==5.9.8
# via
# accelerate
# spaces
pycryptodomex==3.21.0
# via blobfile
pydantic==2.9.2
# via
# fastapi
# gradio
# spaces
pydantic-core==2.23.4
# via pydantic
pydub==0.25.1
# via gradio
pygments==2.18.0
# via rich
python-dateutil==2.9.0.post0
# via pandas
python-multipart==0.0.12
# via gradio
pytz==2024.2
# via pandas
pyyaml==6.0.2
# via
# accelerate
# gradio
# huggingface-hub
# transformers
regex==2024.9.11
# via
# tiktoken
# transformers
requests==2.32.3
# via
# huggingface-hub
# spaces
# tiktoken
# transformers
rich==13.9.2
# via typer
ruff==0.7.0
# via gradio
safetensors==0.4.5
# via
# accelerate
# transformers
semantic-version==2.10.0
# via gradio
sentencepiece==0.2.0
# via swallow-13b-instruct (pyproject.toml)
setuptools==75.2.0
# via swallow-13b-instruct (pyproject.toml)
shellingham==1.5.4
# via typer
six==1.16.0
# via python-dateutil
sniffio==1.3.1
# via
# anyio
# httpx
spaces==0.30.4
# via swallow-13b-instruct (pyproject.toml)
starlette==0.40.0
# via fastapi
sympy==1.13.3
# via torch
tiktoken==0.8.0
# via swallow-13b-instruct (pyproject.toml)
tokenizers==0.20.1
# via transformers
tomlkit==0.12.0
# via gradio
torch==2.4.0
# via
# swallow-13b-instruct (pyproject.toml)
# accelerate
# bitsandbytes
tqdm==4.66.5
# via
# huggingface-hub
# transformers
transformers==4.45.2
# via swallow-13b-instruct (pyproject.toml)
triton==3.0.0
# via torch
typer==0.12.5
# via gradio
typing-extensions==4.12.2
# via
# anyio
# fastapi
# gradio
# gradio-client
# huggingface-hub
# pydantic
# pydantic-core
# rich
# spaces
# torch
# typer
# uvicorn
tzdata==2024.2
# via pandas
urllib3==2.2.3
# via
# blobfile
# requests
uvicorn==0.32.0
# via gradio
websockets==12.0
# via gradio-client
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