requirements.txt

# 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
    #   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 huggingface-hub
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
    #   -r requirements.in
    #   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
    #   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
    #   colpali-engine
    #   datasets
    #   huggingface-hub
    #   transformers
rich==13.9.1
    # via typer
ruff==0.6.8
    # 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
stamina==24.3.0
    # via -r requirements.in
starlette==0.38.6
    # via fastapi
sympy==1.13.3
    # via torch
tenacity==9.0.0
    # via stamina
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