\nAdvanced Configuration\n

\n\n| Name | Default | Description |\n|---------------------------|------------|-----------------------------------------------------|\n| `WHISPER_THREADS` | 4 | Number of threads to use for inference |\n| `WHISPER_PROCESSORS` | 1 | Number of processors to use for inference |\n| `WHISPER_HOST` | 0.0.0.0 | Host IP or hostname to bind the server to |\n| `WHISPER_PORT` | 9000 | Port number to listen on |\n| `WHISPER_INFERENCE_PATH` | /inference | Inference path for all requests |\n| `WHISPER_PUBLIC_PATH` | | Path to the public folder |\n| `WHISPER_REQUEST_PATH` | | Request path for all requests |\n| `WHISPER_OV_E_DEVICE` | CPU | OpenViBE Event Device to use |\n| `WHISPER_OFFSET_T` | 0 | Time offset in milliseconds |\n| `WHISPER_OFFSET_N` | 0 | Number of seconds to offset |\n| `WHISPER_DURATION` | 0 | Duration of the audio file in milliseconds |\n| `WHISPER_MAX_CONTEXT` | -1 | Maximum context size for inference |\n| `WHISPER_MAX_LEN` | 0 | Maximum length of output text |\n| `WHISPER_BEST_OF` | 2 | Best-of-N strategy for inference |\n| `WHISPER_BEAM_SIZE` | -1 | Beam size for search |\n| `WHISPER_AUDIO_CTX` | 0 | Audio context to use for inference |\n| `WHISPER_WORD_THOLD` | 0.01 | Word threshold for segmentation |\n| `WHISPER_ENTROPY_THOLD` | 2.40 | Entropy threshold for segmentation |\n| `WHISPER_LOGPROB_THOLD` | -1.00 | Log probability threshold for segmentation |\n| `WHISPER_LANGUAGE` | en | Language code to use for translation or diarization |\n| `WHISPER_PROMPT` | | Initial prompt |\n| `WHISPER_DTW` | | Compute token-level timestamps |\n| `WHISPER_CONVERT` | true | Convert audio to WAV, requires ffmpeg on the server |\n| `WHISPER_SPLIT_ON_WORD` | false | Split on word rather than on token |\n| `WHISPER_DEBUG_MODE` | false | Enable debug mode |\n| `WHISPER_TRANSLATE` | false | Translate from source language to english |\n| `WHISPER_DIARIZE` | false | Stereo audio diarization |\n| `WHISPER_TINYDIARIZE` | false | Enable tinydiarize (requires a tdrz model) |\n| `WHISPER_NO_FALLBACK` | false | Do not use temperature fallback while decoding |\n| `WHISPER_PRINT_SPECIAL` | false | Print special tokens |\n| `WHISPER_PRINT_COLORS` | false | Print colors |\n| `WHISPER_PRINT_REALTIME` | false | Print output in realtime |\n| `WHISPER_PRINT_PROGRESS` | false | Print progress |\n| `WHISPER_NO_TIMESTAMPS` | false | Do not print timestamps |\n| `WHISPER_DETECT_LANGUAGE` | false | Exit after automatically detecting language |\n\n

\n\n## Links\n\n- [whisper.cpp](https://github.com/ggerganov/whisper.cpp)\n- [server example](https://github.com/ggerganov/whisper.cpp/tree/master/examples/server) of whisper.cpp\n\n## Citing\n\n```text\n[Pavel Rykov]. (2024). Whisper.cpp API Webserver in Docker. GitHub. https://github.com/EvilFreelancer/docker-whisper-server\n```\n\n```text\n@misc{pavelrykov2024whisperapi,\n author = {Pavel Rykov},\n title = {Whisper.cpp API Webserver in Docker},\n year = {2024},\n url = {https://github.com/EvilFreelancer/docker-whisper-server}\n}\n```\n","has_starred","hub_user","immutable_tags_settings",{"_269":11,"_270":271},"enabled","rules",[272],".*","is_automated","permissions",{"_276":22,"_277":11,"_278":11},"read","write","admin","user","storage_size",15569912135,"isOrg","reponame","tag","sha256:6992c668f975cfea3d72f9a306cfb010e1706fb3a13d5cc700fd3b16f0333041","canDeleteTags","isHubSbxKitsEnabled","currentTab","tagAttestations","displaySecurityMetadata","showSbxLogoOverride","routes/_layout.layers.$namespace.$reponame.$tag.(images).($imageUrlDigest)._index",{"_28":29,"_228":-7,"_226":-7,"_227":-7,"_30":294,"_36":285,"_297":-7,"_298":11},{"_32":33,"_34":35,"_36":37,"_38":39,"_40":41,"_42":295,"_62":63,"_64":35,"_65":66,"_67":68,"_69":70,"_71":72,"_73":51,"_74":63,"_75":60,"_76":22},[296],{"_45":46,"_36":47,"_48":49,"_50":51,"_52":53,"_54":55,"_56":49,"_57":-5,"_58":39,"_59":60,"_61":-5},"imageWithLayers","hasPermissionToViewRepoSettings","actionData","errors"]

evilfreelancer/whisper-server:latest