dasemu/Transcriptarr
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Change default port to 9000

Browse Source
This commit is contained in:
McCloudS
2024-02-29 17:31:43 -07:00
committed by GitHub
parent 659f8f15c6
commit 93b661390b
1 changed files with 3 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
README.md
View File

@@ -2,6 +2,8 @@
<details>
<summary>Updates:</summary>
29 Feb 2024: Changed sefault port to align with whisper-asr and deconflict other consumers of the previous port.
11 Feb 2024: Added a 'launcher.py' file for Docker to prevent huge image downloads. Now set UPDATE to True if you want pull the latest version, otherwise it will default to what was in the image on build. Docker builds will still be auto-built on any commit. If you don't want to use the auto-update function, no action is needed on your part and continue to update docker images as before. Fixed bug where detect-langauge could return an empty result. Reduced useless debug output that was spamming logs and defaulted DEBUG to True. Added APPEND, which will add f"Transcribed by whisperAI with faster-whisper ({whisper_model}) on {datetime.now()}" at the end of a subtitle.
10 Feb 2024: Added some features from JaiZed's branch such as skipping if SDH subtitles are detected, functions updated to also be able to transcribe audio files, allow individual files to be manually transcribed, and a better implementation of forceLanguage. Added /batch endpoint (Thanks JaiZed). Allows you to navigate in a browser to http://subgen_ip:8090/docs and call the batch endpoint which can take a file or a folder to manually transcribe files. Added CLEAR_VRAM_ON_COMPLETE, HF_TRANSFORMERS, HF_BATCH_SIZE. Hugging Face Transformers boast '9x increase', but my limited testing shows it's comparable to faster-whisper or slightly slower. I also have an older 8gb GPU. Simplest way to persist HF Transformer models is to set "HF_HUB_CACHE" and set it to "/subgen/models" for Docker (assuming you have the matching volume).
@@ -137,7 +139,7 @@ The following environment variables are available in Docker. They will default
| PLEXTOKEN | 'token here' | This needs to be set to your plex token found by https://support.plex.tv/articles/204059436-finding-an-authentication-token-x-plex-token/ |
| JELLYFINSERVER | 'http://jellyfin:8096' | Set to your Jellyfin server address/port |
| JELLYFINTOKEN | 'token here' | Generate a token inside the Jellyfin interface |
| WEBHOOKPORT | 8090 | Change this if you need a different port for your webhook |
| WEBHOOKPORT | 9000 | Change this if you need a different port for your webhook |
| USE_PATH_MAPPING | False | Similar to sonarr and radarr path mapping, this will attempt to replace paths on file systems that don't have identical paths. Currently only support for one path replacement. Examples below. |
| PATH_MAPPING_FROM | '/tv' | This is the path of my media relative to my Plex server |
| PATH_MAPPING_TO | '/Volumes/TV' | This is the path of that same folder relative to my Mac Mini that will run the script |