lintoai/linto-diarization-pyannote:2.1.0

Machine learning & AI

Data science

Manifest digest

sha256:a1f51c8d0089c32c1a37ab1af2eceeaa10cf67a89234cb1d77dbf32708ee3d23

OS/ARCH

linux/amd64

Compressed size

3.18 GB

Last pushed

Type

Image

Manifest digest

sha256:a1f51c8d0089c32c1a37ab1af2eceeaa10cf67a89234cb1d77dbf32708ee3d23

Image Layers

1# debian.sh --arch 'amd64' out/29.36 MB

2ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B

3ENV LANG=C.UTF-80 B

4RUN /bin/sh -c set -eux;1.23 MB

5ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D0 B

6ENV PYTHON_VERSION=3.10.190 B

7ENV PYTHON_SHA256=c8f4a596572201d81dd7df91f70e177e19a70f1d489968b54b5fbbf29a97c0760 B

8RUN /bin/sh -c set -eux;13.18 MB

9RUN /bin/sh -c set -eux;250 B

10CMD ["python3"]0 B

11LABEL [email protected], [email protected], [email protected]0 B

12RUN /bin/sh -c apt-get update165.28 MB

13WORKDIR /usr/src/app165 B

14COPY pyannote/requirements.txt ./ # buildkit485 B

15RUN /bin/sh -c pip install2.87 GB

16RUN /bin/sh -c mkdir -p159 B

17RUN /bin/sh -c wget https://dl.linto.ai/downloads/model-distribution/speaker-diarization/pyannote-3.1.zip57.58 MB

18RUN /bin/sh -c unzip pyannote-3.1.zip57.55 MB

19RUN /bin/sh -c rm pyannote-3.1.zip195 B

20COPY celery_app /usr/src/app/celery_app # buildkit2.05 KB

21COPY http_server /usr/src/app/http_server # buildkit2.67 KB

22COPY document /usr/src/app/document # buildkit835 B

23COPY docker-entrypoint.sh wait-for-it.sh healthcheck.sh ./3.72 KB

24COPY pyannote/diarization /usr/src/app/diarization # buildkit3.3 KB

25COPY identification /usr/src/app/identification # buildkit6.21 KB

26COPY pyannote/RELEASE.md ./ # buildkit811 B

27RUN /bin/sh -c export VERSION=$(awk93 B

28ENV PYTHONPATH=:/usr/src/app/diarization0 B

29ENV PYANNOTE_CACHE=/opt/models/torch/pyannote0 B

30HEALTHCHECK &{["CMD-SHELL" "./healthcheck.sh"] "0s" "0s"0 B

31ENTRYPOINT ["./docker-entrypoint.sh"]0 B

Command

# debian.sh --arch 'amd64' out/ 'trixie' '@1769990400'