chore: fiddling around some more
chore: add ctranslate2 and timestamped
chore: add performance markers
chore: refactor test
chore: change worflow name
chore: ensure Python3
chore(duration): convert to chai/mocha syntahx
chore(transcription): add individual tests for others transcribers
chore(transcription): implement formats test of all implementations
Also compare result of other implementation to the reference implementation
chore(transcription): add more test case with other language and models size and local model
chore(test): wip ctranslate 2 adapat
chore(transcription): wip transcript file and benchmark
chore(test): clean a bit
chore(test): clean a bit
chore(test): refacto timestamed spec
chore(test): update workflow
chore(test): fix glob expansion with sh
chore(test): extract some hw info
chore(test): fix async tests
chore(benchmark): add model info
feat(transcription): allow use of a local mode in timestamped-whisper
feat(transcription): extract run and profiling info in own value object
feat(transcription): extract run concept in own class an run more bench
chore(transcription): somplify run object only a uuid is now needed and add more benchmark scenario
docs(transcription): creates own package readme
docs(transcription): add local model usage
docs(transcription): update README
fix(transcription): use fr video for better comparison
chore(transcription): make openai comparison passed
docs(timestamped): clea
chore(transcription): change transcribers transcribe method signature
Introduce whisper builtin model.
fix(transcription): activate language detection
Forbid transcript creation without a language.
Add `languageDetection` flag to an engine and some assertions.
Fix an issue in `whisper-ctranslate2` :
https://github.com/Softcatala/whisper-ctranslate2/pull/93
chore(transcription): use PeerTube time helpers instead of custom ones
Update existing time function to output an integer number of seconds and add a ms human-readable time formatter with hints of tests.
chore(transcription): use PeerTube UUID helpers
chore(transcription): enable CER evaluation
Thanks to this recent fix in Jiwer <3
https://github.com/jitsi/jiwer/issues/873
chore(jiwer): creates JiWer package
I'm not very happy with the TranscriptFileEvaluator constructor... suggestions ?
chore(JiWer): add usage in README
docs(jiwer): update JiWer readme
chore(transcription): use FunMOOC video in fixtures
chore(transcription): add proper english video fixture
chore(transcription): use os tmp directory where relevant
chore(transcription): fix jiwer cli test reference.txt
chore(transcription): move benchmark out of tests
chore(transcription): remove transcription workflow
docs(transcription): add benchmark info
fix(transcription): use ms precision in other transcribers
chore(transcription): simplify most of the tests
chore(transcription): remove slashes when building path with join
chore(transcription): make fromPath method async
chore(transcription): assert path to model is a directory for CTranslate2 transcriber
chore(transcription): ctranslate2 assertion
chore(transcription): ctranslate2 assertion
chore(transcription): add preinstall script for Python dependencies
chore(transcription): add download and unzip utils functions
chore(transcription): add download and unzip utils functions
chore(transcription): download & unzip models fixtures
chore(transcription): zip
chore(transcription): raise download file test timeout
chore(transcription): simplify download file test
chore(transcription): add transcriptions test to CI
chore(transcription): raise test preconditions timeout
chore(transcription): run preinstall scripts before running ci
chore(transcription): create dedicated tmp folder for transcriber tests
chore(transcription): raise timeout some more
chore(transcription): raise timeout some more
chore(transcription): raise timeout some more
chore(transcription): raise timeout some more
chore(transcription): raise timeout some more
chore(transcription): raise timeout some more
chore(transcription): raise timeout some more
chore(transcription): raise timeout some more
chore(transcription): use short video for local model test
chore(transcription): raise timeout some more
chore(transcription): raise timeout some more
chore(transcription): raise timeout some more
chore(transcription): setup verbosity based on NODE_ENV value
* Comments and videos can be automatically tagged using core rules or
watched word lists
* These tags can be used to automatically filter videos and comments
* Introduce a new video comment policy where comments must be approved
first
* Comments may have to be approved if the user auto block them using
core rules or watched word lists
* Implement FEP-5624 to federate reply control policies
