colpali-songsheet-search / requirements.txt
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# This file was autogenerated by uv via the following command:
# uv pip compile requirements.in -o requirements.txt
accelerate==0.34.2
# via peft
aiofiles==23.2.1
# via gradio
aiohappyeyeballs==2.4.3
# via aiohttp
aiohttp==3.10.8
# via
# -r requirements.in
# datasets
# fsspec
aiosignal==1.3.1
# via aiohttp
annotated-types==0.7.0
# via pydantic
anyio==4.6.0
# via
# gradio
# httpx
# starlette
attrs==24.2.0
# via aiohttp
certifi==2024.8.30
# via
# httpcore
# httpx
# requests
charset-normalizer==3.3.2
# via requests
click==8.1.7
# via
# typer
# uvicorn
colpali-engine==0.3.1
# via -r requirements.in
contourpy==1.3.0
# via matplotlib
cycler==0.12.1
# via matplotlib
datasets==3.0.1
# via -r requirements.in
dill==0.3.8
# via
# datasets
# multiprocess
fastapi==0.115.0
# via gradio
ffmpy==0.4.0
# via gradio
filelock==3.16.1
# via
# datasets
# huggingface-hub
# torch
# transformers
fonttools==4.54.1
# via matplotlib
frozenlist==1.4.1
# via
# aiohttp
# aiosignal
fsspec==2024.6.1
# via
# datasets
# gradio-client
# huggingface-hub
# torch
gputil==1.4.0
# via colpali-engine
gradio==4.44.1
# via -r requirements.in
gradio-client==1.3.0
# via gradio
grpcio==1.66.2
# via
# grpcio-tools
# qdrant-client
grpcio-tools==1.66.2
# via qdrant-client
h11==0.14.0
# via
# httpcore
# uvicorn
h2==4.1.0
# via httpx
hf-transfer==0.1.8
# via -r requirements.in
hpack==4.0.0
# via h2
httpcore==1.0.6
# via httpx
httpx==0.27.2
# via
# gradio
# gradio-client
# qdrant-client
huggingface-hub==0.25.1
# via
# -r requirements.in
# accelerate
# datasets
# gradio
# gradio-client
# peft
# tokenizers
# transformers
hyperframe==6.0.1
# via h2
idna==3.10
# via
# anyio
# httpx
# requests
# yarl
importlib-resources==6.4.5
# via gradio
jinja2==3.1.4
# via
# gradio
# torch
kiwisolver==1.4.7
# via matplotlib
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via
# gradio
# jinja2
matplotlib==3.9.2
# via gradio
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
networkx==3.3
# via torch
numpy==1.26.4
# via
# accelerate
# colpali-engine
# contourpy
# datasets
# gradio
# matplotlib
# pandas
# peft
# pyarrow
# qdrant-client
# transformers
orjson==3.10.7
# via gradio
packaging==24.1
# via
# accelerate
# datasets
# gradio
# gradio-client
# huggingface-hub
# matplotlib
# peft
# transformers
pandas==2.2.3
# via
# datasets
# gradio
peft==0.11.1
# via colpali-engine
pillow==10.4.0
# via
# -r requirements.in
# colpali-engine
# gradio
# matplotlib
portalocker==2.10.1
# via qdrant-client
protobuf==5.28.2
# via grpcio-tools
psutil==6.0.0
# via
# accelerate
# peft
pyarrow==17.0.0
# via datasets
pydantic==2.9.2
# via
# fastapi
# gradio
# qdrant-client
pydantic-core==2.23.4
# via pydantic
pydub==0.25.1
# via gradio
pygments==2.18.0
# via rich
pyparsing==3.1.4
# via matplotlib
python-dateutil==2.9.0.post0
# via
# matplotlib
# pandas
python-dotenv==1.0.1
# via -r requirements.in
python-multipart==0.0.12
# via gradio
pytz==2024.2
# via pandas
pyyaml==6.0.2
# via
# accelerate
# datasets
# gradio
# huggingface-hub
# peft
# transformers
qdrant-client==1.11.3
# via -r requirements.in
regex==2024.9.11
# via transformers
requests==2.32.3
# via
# -r requirements.in
# colpali-engine
# datasets
# huggingface-hub
# transformers
rich==13.9.2
# via typer
ruff==0.6.9
# via gradio
safetensors==0.4.5
# via
# accelerate
# peft
# transformers
semantic-version==2.10.0
# via gradio
setuptools==75.1.0
# via
# grpcio-tools
# torch
shellingham==1.5.4
# via typer
six==1.16.0
# via python-dateutil
sniffio==1.3.1
# via
# anyio
# httpx
starlette==0.38.6
# via fastapi
sympy==1.13.3
# via torch
tokenizers==0.20.0
# via transformers
tomlkit==0.12.0
# via gradio
torch==2.4.1
# via
# -r requirements.in
# accelerate
# colpali-engine
# peft
tqdm==4.66.5
# via
# datasets
# huggingface-hub
# peft
# transformers
transformers==4.45.1
# via
# -r requirements.in
# colpali-engine
# peft
typer==0.12.5
# via gradio
typing-extensions==4.12.2
# via
# fastapi
# gradio
# gradio-client
# huggingface-hub
# pydantic
# pydantic-core
# torch
# typer
tzdata==2024.2
# via pandas
urllib3==2.2.3
# via
# gradio
# qdrant-client
# requests
uvicorn==0.31.0
# via gradio
websockets==12.0
# via gradio-client
xxhash==3.5.0
# via datasets
yarl==1.13.1
# via aiohttp