docker.io/onerahmet/openai-whisper-asr-webservice:v1.5.0-gpu linux/amd64

docker.io/onerahmet/openai-whisper-asr-webservice:v1.5.0-gpu - 国内下载镜像源 浏览次数:54

OpenAI Whisper ASR Webservice

一款基于 Docker 的容器镜像，提供了 Whisper ASR（Automatic Speech Recognition）服务，可以将语音转换为文本。该镜像支持多种语言和格式的语音文件。

源镜像 docker.io/onerahmet/openai-whisper-asr-webservice:v1.5.0-gpu
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/onerahmet/openai-whisper-asr-webservice:v1.5.0-gpu
镜像ID sha256:38c54c0e79f3b99fa756df499591d444de9928dcc4f3fa9e535823ba32e1a4ac
镜像TAG v1.5.0-gpu
大小 11.80GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/sh -c gunicorn --bind 0.0.0.0:9000 --workers 1 --timeout 0 app.webservice:app -k uvicorn.workers.UvicornWorker
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /app
OS/平台 linux/amd64
浏览量 54 次
贡献者 30******1@qq.com
镜像创建 2024-07-04T16:45:40.554351042Z
同步时间 2024-08-09 14:49
更新时间 2024-09-20 13:12
开放端口
9000/tcp
环境变量
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/app/.venv/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=11.8 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 NV_CUDA_CUDART_VERSION=11.8.89-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8 CUDA_VERSION=11.8.0 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.8.0-1 NV_NVTX_VERSION=11.8.86-1 NV_LIBNPP_VERSION=11.8.0.86-1 NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1 NV_LIBCUSPARSE_VERSION=11.7.5.86-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8 NV_LIBCUBLAS_VERSION=11.11.3.6-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1 NCCL_VERSION=2.15.5-1 NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8 NVIDIA_PRODUCT_NAME=CUDA NV_CUDNN_VERSION=8.9.6.50 NV_CUDNN_PACKAGE_NAME=libcudnn8 NV_CUDNN_PACKAGE=libcudnn8=8.9.6.50-1+cuda11.8 PYTHON_VERSION=3.10 POETRY_VENV=/app/.venv
镜像标签
8.9.6.50: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

Docker拉取命令 无权限下载?点我修复 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/onerahmet/openai-whisper-asr-webservice:v1.5.0-gpu
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/onerahmet/openai-whisper-asr-webservice:v1.5.0-gpu  docker.io/onerahmet/openai-whisper-asr-webservice:v1.5.0-gpu

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/onerahmet/openai-whisper-asr-webservice:v1.5.0-gpu
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/onerahmet/openai-whisper-asr-webservice:v1.5.0-gpu  docker.io/onerahmet/openai-whisper-asr-webservice:v1.5.0-gpu

Shell快速替换命令 

sed -i 's#onerahmet/openai-whisper-asr-webservice:v1.5.0-gpu#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/onerahmet/openai-whisper-asr-webservice:v1.5.0-gpu#' deployment.yaml

镜像历史

大小 创建时间 层信息
0.00B 2024-07-05 00:45:40 CMD ["/bin/sh" "-c" "gunicorn --bind 0.0.0.0:9000 --workers 1 --timeout 0 app.webservice:app -k uvicorn.workers.UvicornWorker"]
0.00B 2024-07-05 00:45:40 EXPOSE map[9000/tcp:{}]
5.11GB 2024-07-05 00:45:40 RUN /bin/sh -c $POETRY_VENV/bin/pip install torch==1.13.1+cu117 -f https://download.pytorch.org/whl/torch # buildkit
706.57KB 2024-07-05 00:44:45 RUN /bin/sh -c poetry install # buildkit
1.39MB 2024-07-05 00:44:44 COPY /usr/share/nginx/html/swagger-ui-bundle.js swagger-ui-assets/swagger-ui-bundle.js # buildkit
151.21KB 2024-07-05 00:44:44 COPY /usr/share/nginx/html/swagger-ui.css swagger-ui-assets/swagger-ui.css # buildkit
15.98MB 2024-07-05 00:44:44 COPY /root/bin/ffmpeg /usr/local/bin/ffmpeg # buildkit
575.56MB 2024-07-05 00:44:44 COPY /FFmpeg-6.1.1 /FFmpeg-6.1.1 # buildkit
65.22KB 2024-07-05 00:42:26 COPY . . # buildkit
2.21GB 2024-07-05 00:42:25 RUN /bin/sh -c poetry install --no-root # buildkit
32.00B 2024-07-05 00:41:47 RUN /bin/sh -c poetry config virtualenvs.in-project true # buildkit
192.63KB 2024-07-05 00:41:47 COPY poetry.lock pyproject.toml ./ # buildkit
0.00B 2024-07-05 00:41:47 WORKDIR /app
0.00B 2024-07-05 00:41:47 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/app/.venv/bin
92.02MB 2024-07-05 00:41:47 RUN /bin/sh -c python3 -m venv $POETRY_VENV && $POETRY_VENV/bin/pip install -U pip setuptools && $POETRY_VENV/bin/pip install poetry==1.6.1 # buildkit
51.00B 2024-07-05 00:41:27 RUN /bin/sh -c ln -s -f /usr/bin/python${PYTHON_VERSION} /usr/bin/python3 && ln -s -f /usr/bin/python${PYTHON_VERSION} /usr/bin/python && ln -s -f /usr/bin/pip3 /usr/bin/pip # buildkit
47.84MB 2024-07-05 00:41:27 RUN /bin/sh -c export DEBIAN_FRONTEND=noninteractive && apt-get -qq update && apt-get -qq install --no-install-recommends python${PYTHON_VERSION} python${PYTHON_VERSION}-venv python3-pip && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2024-07-05 00:41:27 ENV POETRY_VENV=/app/.venv
0.00B 2024-07-05 00:41:27 ENV PYTHON_VERSION=3.10
1.09GB 2023-11-10 15:09:27 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ${NV_CUDNN_PACKAGE} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 15:09:27 LABEL com.nvidia.cudnn.version=8.9.6.50
0.00B 2023-11-10 15:09:27 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 15:09:27 ARG TARGETARCH
0.00B 2023-11-10 15:09:27 ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.6.50-1+cuda11.8
0.00B 2023-11-10 15:09:27 ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
0.00B 2023-11-10 15:09:27 ENV NV_CUDNN_VERSION=8.9.6.50
0.00B 2023-11-10 14:42:37 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2023-11-10 14:42:37 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2023-11-10 14:42:37 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.06KB 2023-11-10 14:42:37 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
260.16KB 2023-11-10 14:42:37 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
2.41GB 2023-11-10 14:42:36 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-8=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-8=${NV_NVTX_VERSION} libcusparse-11-8=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 14:42:36 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 14:42:36 ARG TARGETARCH
0.00B 2023-11-10 14:42:36 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8
0.00B 2023-11-10 14:42:36 ENV NCCL_VERSION=2.15.5-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2023-11-10 14:42:36 ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8
0.00B 2023-11-10 14:42:36 ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBNPP_VERSION=11.8.0.86-1
0.00B 2023-11-10 14:42:36 ENV NV_NVTX_VERSION=11.8.86-1
0.00B 2023-11-10 14:42:36 ENV NV_CUDA_LIB_VERSION=11.8.0-1
0.00B 2023-11-10 14:37:16 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-11-10 14:37:16 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2023-11-10 14:37:16 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2023-11-10 14:37:16 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-11-10 14:37:16 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2023-11-10 14:37:16 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
150.67MB 2023-11-10 14:37:16 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-8=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 14:37:01 ENV CUDA_VERSION=11.8.0
10.56MB 2023-11-10 14:37:01 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb && dpkg -i cuda-keyring_1.0-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 14:37:01 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 14:37:01 ARG TARGETARCH
0.00B 2023-11-10 14:37:01 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
0.00B 2023-11-10 14:37:01 ENV NV_CUDA_CUDART_VERSION=11.8.89-1
0.00B 2023-11-10 14:37:01 ENV NVIDIA_REQUIRE_CUDA=cuda>=11.8 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471
0.00B 2023-11-10 14:37:01 ENV NVARCH=x86_64
0.00B 2023-10-05 15:33:32 /bin/sh -c #(nop) CMD ["/bin/bash"]
77.82MB 2023-10-05 15:33:32 /bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in /
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) ARG RELEASE

镜像信息 

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    "Metadata": {
        "LastTagTime": "2024-08-09T14:26:00.591946624+08:00"
    }
}

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