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lintoai/linto-diarization-pyannote:2.0.1

Machine learning & AI
Data science
Manifest digest

sha256:d913529d63a7de5f5fbc813600376c27d67537b4950da743ba224d0723b45df7

OS/ARCH

linux/amd64

Compressed size

3.56 GB

Last pushed

over 1 year by linagoralinto

Type

Image

Manifest digest

sha256:d913529d63a7de5f5fbc813600376c27d67537b4950da743ba224d0723b45df7

Image Layers

1# debian.sh --arch 'amd64' out/47.29 MB
2RUN /bin/sh -c set -eux;22.76 MB
3RUN /bin/sh -c set -eux;61.41 MB
4RUN /bin/sh -c set -ex;201.52 MB
5ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B
6ENV LANG=C.UTF-80 B
7RUN /bin/sh -c set -eux;5.88 MB
8ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D0 B
9ENV PYTHON_VERSION=3.10.160 B
10ENV PYTHON_SHA256=bfb249609990220491a1b92850a07135ed0831e41738cf681d63cf01b2a8fbd10 B
11RUN /bin/sh -c set -eux;20.4 MB
12RUN /bin/sh -c set -eux;252 B
13CMD ["python3"]0 B
15RUN /bin/sh -c apt-get update202.88 MB
16WORKDIR /usr/src/app162 B
17COPY pyannote/requirements.txt ./ # buildkit408 B
18RUN /bin/sh -c pip install2.9 GB
19RUN /bin/sh -c mkdir -p164 B
20RUN /bin/sh -c wget https://dl.linto.ai/downloads/model-distribution/speaker-diarization/pyannote-3.1.zip57.58 MB
21RUN /bin/sh -c unzip pyannote-3.1.zip57.55 MB
22RUN /bin/sh -c rm pyannote-3.1.zip192 B
23COPY celery_app /usr/src/app/celery_app # buildkit2.05 KB
24COPY http_server /usr/src/app/http_server # buildkit2.68 KB
25COPY document /usr/src/app/document # buildkit837 B
26COPY docker-entrypoint.sh wait-for-it.sh healthcheck.sh ./3.16 KB
27COPY pyannote/diarization /usr/src/app/diarization # buildkit3.32 KB
28COPY identification /usr/src/app/identification # buildkit6.21 KB
29COPY pyannote/RELEASE.md ./ # buildkit668 B
30RUN /bin/sh -c export VERSION=$(awk93 B
31ENV PYTHONPATH=:/usr/src/app/diarization0 B
32HEALTHCHECK &{["CMD-SHELL" "./healthcheck.sh"] "0s" "0s"0 B
33ENTRYPOINT ["./docker-entrypoint.sh"]0 B

Command

# debian.sh --arch 'amd64' out/ 'bookworm' '@1733097600'