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Running on Zero
Running on Zero
File size: 6,778 Bytes
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# uv export --no-hashes --no-dev --group hf-spaces --no-emit-package typer-slim --no-emit-package spaces -o requirements.txt
aiofiles==24.1.0
# via gradio
aiohappyeyeballs==2.6.1
# via aiohttp
aiohttp==3.13.3
# via fsspec
aiosignal==1.4.0
# via aiohttp
annotated-doc==0.0.4
# via
# fastapi
# typer
annotated-types==0.7.0
# via pydantic
anyio==4.13.0
# via
# gradio
# httpx
# starlette
attrs==26.1.0
# via aiohttp
audioop-lts==0.2.2 ; python_full_version >= '3.13'
# via gradio
brotli==1.2.0
# via gradio
certifi==2026.2.25
# via
# httpcore
# httpx
# requests
charset-normalizer==3.4.6
# via requests
click==8.3.1
# via
# typer
# uvicorn
colorama==0.4.6 ; sys_platform == 'win32'
# via
# click
# tqdm
datasets==4.8.4
detection-viewer @ https://github.com/hysts/gradio-detection-viewer/releases/download/v0.1.6/detection_viewer-0.1.6-py3-none-any.whl
# via detection-viewer-demo
dill==0.4.1
# via
# datasets
# multiprocess
fastapi==0.135.2
# via gradio
ffmpy==1.0.0
# via gradio
filelock==3.25.2
# via
# datasets
# huggingface-hub
# torch
frozenlist==1.8.0
# via
# aiohttp
# aiosignal
fsspec==2026.2.0
# via
# datasets
# gradio-client
# huggingface-hub
# torch
gradio==6.10.0
# via
# detection-viewer
# detection-viewer-demo
# spaces
gradio-client==2.4.0
# via
# gradio
# hf-gradio
groovy==0.1.2
# via gradio
h11==0.16.0
# via
# httpcore
# uvicorn
hf-gradio==0.3.0
# via gradio
hf-xet==1.4.2 ; platform_machine == 'AMD64' or platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
# via huggingface-hub
httpcore==1.0.9
# via httpx
httpx==0.28.1
# via
# datasets
# gradio
# gradio-client
# huggingface-hub
# safehttpx
# spaces
huggingface-hub==1.7.2
# via
# datasets
# gradio
# gradio-client
# tokenizers
# transformers
idna==3.11
# via
# anyio
# httpx
# requests
# yarl
jinja2==3.1.6
# via
# gradio
# torch
markdown-it-py==4.0.0
# via rich
markupsafe==3.0.3
# via
# gradio
# jinja2
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
multidict==6.7.1
# via
# aiohttp
# yarl
multiprocess==0.70.19
# via datasets
networkx==3.6.1
# via torch
numpy==2.4.3
# via
# datasets
# gradio
# pandas
# scipy
# transformers
nvidia-cublas-cu12==12.8.4.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cuda-nvrtc-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cuda-runtime-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cudnn-cu12==9.10.2.21 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cufft-cu12==11.3.3.83 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cufile-cu12==1.13.1.3 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-curand-cu12==10.3.9.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cusolver-cu12==11.7.3.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-cusparse-cu12==12.5.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via
# nvidia-cusolver-cu12
# torch
nvidia-cusparselt-cu12==0.7.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-nccl-cu12==2.27.5 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-nvjitlink-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via
# nvidia-cufft-cu12
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
# torch
nvidia-nvshmem-cu12==3.3.20 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
nvidia-nvtx-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
orjson==3.11.7
# via gradio
packaging==26.0
# via
# datasets
# gradio
# gradio-client
# huggingface-hub
# spaces
# transformers
pandas==3.0.1
# via
# datasets
# gradio
pillow==12.1.1
# via gradio
propcache==0.4.1
# via
# aiohttp
# yarl
psutil==5.9.8
# via spaces
pyarrow==23.0.1
# via datasets
pydantic==2.12.5
# via
# fastapi
# gradio
# spaces
pydantic-core==2.41.5
# via pydantic
pydub==0.25.1
# via gradio
pygments==2.19.2
# via rich
python-dateutil==2.9.0.post0
# via pandas
python-multipart==0.0.22
# via gradio
pytz==2026.1.post1
# via gradio
pyyaml==6.0.3
# via
# datasets
# gradio
# huggingface-hub
# transformers
regex==2026.2.28
# via transformers
requests==2.32.5
# via
# datasets
# spaces
rich==14.3.3
# via typer
safehttpx==0.1.7
# via gradio
safetensors==0.7.0
# via transformers
scipy==1.17.1
# via detection-viewer-demo
semantic-version==2.10.0
# via gradio
setuptools==82.0.1
# via torch
shellingham==1.5.4
# via typer
six==1.17.0
# via python-dateutil
starlette==0.52.1
# via
# fastapi
# gradio
sympy==1.14.0
# via torch
tokenizers==0.22.2
# via transformers
tomlkit==0.13.3
# via gradio
torch==2.9.1
# via detection-viewer-demo
tqdm==4.67.3
# via
# datasets
# huggingface-hub
# transformers
transformers==5.3.0
# via detection-viewer-demo
triton==3.5.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
# via torch
typer==0.24.1
# via
# gradio
# hf-gradio
# huggingface-hub
# transformers
typing-extensions==4.15.0
# via
# aiosignal
# anyio
# fastapi
# gradio
# gradio-client
# huggingface-hub
# pydantic
# pydantic-core
# spaces
# starlette
# torch
# typing-inspection
typing-inspection==0.4.2
# via
# fastapi
# pydantic
tzdata==2025.3 ; sys_platform == 'emscripten' or sys_platform == 'win32'
# via pandas
urllib3==2.6.3
# via requests
uvicorn==0.42.0
# via gradio
xxhash==3.6.0
# via datasets
yarl==1.23.0
# via aiohttp
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