Workflow update
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# [Faster-whisper](https://github.com/SYSTRAN/faster-whisper) is a
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# reimplementation of OpenAI's Whisper model using CTranslate2, which is a fast
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# inference engine for Transformer models.
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---
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version: "2.1"
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services:
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faster-whisper:
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image: ghcr.io/linuxserver/faster-whisper
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container_name: faster-whisper
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environment:
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# for UserID
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- PUID=${PUID:-1024}
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# for GroupID
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- PGID=${PGID:-100}
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# specify a timezone to use, see this [list](https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List).
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- TZ=${TZ:-Europe/Amsterdam}
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# Whisper model that will be used for transcription.
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- WHISPER_MODEL=tiny-int8
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# Number of candidates to consider simultaneously during transcription.
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- WHISPER_BEAM=1 # optional
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# Language that you will speak to the add-on.
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- WHISPER_LANG=en # optional
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volumes:
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# Local path for Whisper config files.
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- ${BASEDIR:-/volume1/docker}/faster-whisper/config:/config
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ports:
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# Wyoming connection port.
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- 10300:10300
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restart: unless-stopped
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# [Faster-whisper](https://github.com/SYSTRAN/faster-whisper) is a
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# reimplementation of OpenAI's Whisper model using CTranslate2, which is a fast
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# inference engine for Transformer models.
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. ./.env
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docker run -d \
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--name=faster-whisper \
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-e PUID=${PUID:-1024} `# for UserID` \
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-e PGID=${PGID:-100} `# for GroupID` \
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-e TZ=${TZ:-Europe/Amsterdam} `# specify a timezone to use, see this [list](https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List).` \
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-e WHISPER_MODEL=tiny-int8 `# Whisper model that will be used for transcription.` \
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-e WHISPER_BEAM=1 `# optional` `# Number of candidates to consider simultaneously during transcription.` \
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-e WHISPER_LANG=en `# optional` `# Language that you will speak to the add-on.` \
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-p 10300:10300 `# Wyoming connection port.` \
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-v ${BASEDIR:-/volume1/docker}/faster-whisper/config:/config `# Local path for Whisper config files.` \
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--restart unless-stopped \
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ghcr.io/linuxserver/faster-whisper
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ln -s ../docker-env.cfg ./.env
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. ./.env
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mkdir -p ${BASEDIR:-/volume1/docker}/faster-whisper/config
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