# 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