# This file was autogenerated by uv via the following command: # uv pip compile pyproject.toml -o requirements.txt aiofiles==24.1.0 # via gradio aiohappyeyeballs==2.6.1 # via aiohttp aiohttp==3.13.1 # via fsspec aiosignal==1.4.0 # via aiohttp annotated-types==0.7.0 # via pydantic anyio==4.11.0 # via # gradio # httpx # mcp # sse-starlette # starlette async-timeout==5.0.1 # via aiohttp attrs==25.4.0 # via # aiohttp # jsonschema # referencing brotli==1.1.0 # via gradio certifi==2025.10.5 # via # httpcore # httpx # requests charset-normalizer==3.4.4 # via requests click==8.3.0 # via # typer # uvicorn datasets==4.2.0 # via iccv2025 (pyproject.toml) dill==0.4.0 # via # datasets # multiprocess exceptiongroup==1.3.0 # via anyio faiss-cpu==1.12.0 # via iccv2025 (pyproject.toml) fastapi==0.119.0 # via gradio ffmpy==0.6.3 # via gradio filelock==3.20.0 # via # datasets # huggingface-hub # torch # transformers frozenlist==1.8.0 # via # aiohttp # aiosignal fsspec==2025.9.0 # via # datasets # gradio-client # huggingface-hub # torch gradio==5.49.1 # via # iccv2025 (pyproject.toml) # gradio-modal # spaces gradio-client==1.13.3 # via gradio gradio-modal==0.0.4 # via iccv2025 (pyproject.toml) groovy==0.1.2 # via gradio h11==0.16.0 # via # httpcore # uvicorn hf-xet==1.1.10 # via huggingface-hub httpcore==1.0.9 # via httpx httpx==0.28.1 # via # datasets # gradio # gradio-client # mcp # safehttpx # spaces httpx-sse==0.4.3 # via mcp huggingface-hub==0.35.3 # via # datasets # gradio # gradio-client # sentence-transformers # tokenizers # transformers idna==3.11 # via # anyio # httpx # requests # yarl jinja2==3.1.6 # via # gradio # torch joblib==1.5.2 # via scikit-learn jsonschema==4.25.1 # via mcp jsonschema-specifications==2025.9.1 # via jsonschema markdown-it-py==4.0.0 # via rich markupsafe==3.0.3 # via # gradio # jinja2 mcp==1.10.1 # via gradio mdurl==0.1.2 # via markdown-it-py mpmath==1.3.0 # via sympy multidict==6.7.0 # via # aiohttp # yarl multiprocess==0.70.16 # via datasets networkx==3.4.2 # via torch numpy==2.2.6 # via # datasets # faiss-cpu # gradio # pandas # scikit-learn # scipy # transformers nvidia-cublas-cu12==12.8.4.1 # via # nvidia-cudnn-cu12 # nvidia-cusolver-cu12 # torch nvidia-cuda-cupti-cu12==12.8.90 # via torch nvidia-cuda-nvrtc-cu12==12.8.93 # via torch nvidia-cuda-runtime-cu12==12.8.90 # via torch nvidia-cudnn-cu12==9.10.2.21 # via torch nvidia-cufft-cu12==11.3.3.83 # via torch nvidia-cufile-cu12==1.13.1.3 # via torch nvidia-curand-cu12==10.3.9.90 # via torch nvidia-cusolver-cu12==11.7.3.90 # via torch nvidia-cusparse-cu12==12.5.8.93 # via # nvidia-cusolver-cu12 # torch nvidia-cusparselt-cu12==0.7.1 # via torch nvidia-nccl-cu12==2.27.3 # via torch nvidia-nvjitlink-cu12==12.8.93 # via # nvidia-cufft-cu12 # nvidia-cusolver-cu12 # nvidia-cusparse-cu12 # torch nvidia-nvtx-cu12==12.8.90 # via torch orjson==3.11.3 # via gradio packaging==25.0 # via # datasets # faiss-cpu # gradio # gradio-client # huggingface-hub # spaces # transformers pandas==2.3.3 # via # datasets # gradio pillow==11.3.0 # via # gradio # sentence-transformers polars==1.34.0 # via iccv2025 (pyproject.toml) polars-runtime-32==1.34.0 # via polars propcache==0.4.1 # via # aiohttp # yarl psutil==5.9.8 # via spaces pyarrow==21.0.0 # via datasets pydantic==2.11.10 # via # fastapi # gradio # mcp # pydantic-settings # spaces pydantic-core==2.33.2 # via pydantic pydantic-settings==2.11.0 # via mcp pydub==0.25.1 # via gradio pygments==2.19.2 # via rich python-dateutil==2.9.0.post0 # via pandas python-dotenv==1.1.1 # via pydantic-settings python-multipart==0.0.20 # via # gradio # mcp pytz==2025.2 # via pandas pyyaml==6.0.3 # via # datasets # gradio # huggingface-hub # transformers referencing==0.37.0 # via # jsonschema # jsonschema-specifications regex==2025.9.18 # via transformers requests==2.32.5 # via # datasets # huggingface-hub # spaces # transformers rich==14.2.0 # via typer rpds-py==0.27.1 # via # jsonschema # referencing ruff==0.14.1 # via gradio safehttpx==0.1.6 # via gradio safetensors==0.6.2 # via transformers scikit-learn==1.7.2 # via sentence-transformers scipy==1.15.3 # via # scikit-learn # sentence-transformers semantic-version==2.10.0 # via gradio sentence-transformers==5.1.1 # via iccv2025 (pyproject.toml) setuptools==80.9.0 # via triton shellingham==1.5.4 # via typer six==1.17.0 # via python-dateutil sniffio==1.3.1 # via anyio spaces==0.42.1 # via iccv2025 (pyproject.toml) sse-starlette==3.0.2 # via mcp starlette==0.48.0 # via # fastapi # gradio # mcp sympy==1.14.0 # via torch threadpoolctl==3.6.0 # via scikit-learn tokenizers==0.22.1 # via transformers tomlkit==0.13.3 # via gradio torch==2.8.0 # via # iccv2025 (pyproject.toml) # sentence-transformers tqdm==4.67.1 # via # datasets # huggingface-hub # sentence-transformers # transformers transformers==4.57.1 # via sentence-transformers triton==3.4.0 # via torch typer==0.19.2 # via gradio typing-extensions==4.15.0 # via # aiosignal # anyio # exceptiongroup # fastapi # gradio # gradio-client # huggingface-hub # multidict # pydantic # pydantic-core # referencing # sentence-transformers # spaces # starlette # torch # typer # typing-inspection # uvicorn typing-inspection==0.4.2 # via # pydantic # pydantic-settings tzdata==2025.2 # via pandas urllib3==2.5.0 # via requests uvicorn==0.38.0 # via # gradio # mcp websockets==15.0.1 # via gradio-client xxhash==3.6.0 # via datasets yarl==1.22.0 # via aiohttp