Allows:
* The HLS player to propose an "Audio only" resolution
* The live to output an "Audio only" resolution
* The live to ingest and output an "Audio only" stream
This feature is under a config for VOD videos and is enabled by default for lives
In the future we can imagine:
* To propose multiple audio streams for a specific video
* To ingest an audio only VOD and just output an audio only "video"
(the player would play the audio file and PeerTube would not
generate additional resolutions)
This commit introduce a new way to download videos:
* Add "/download/videos/generate/:videoId" endpoint where PeerTube can
mux an audio only and a video only file to a mp4 container
* The download client modal introduces a new default panel where the
user can choose resolutions it wants to download
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
The runner downloads the video file from the url set in the paylaod
of a transcoding job. This url is pointing to our API and the runner
will make POST request to it with an jobToken and a runnerToken.
Doing this ensure we can verify the tokens and return the video file.
But returning the video file also means that we are using server
resources to serve the file. If the runner is able to follow the
redirect, we can do our usual verification and return a redirect
response to the url of the video file, the runner will download it
using his own resources.
Sorry for the very big commit that may lead to git log issues and merge
conflicts, but it's a major step forward:
* Server can be faster at startup because imports() are async and we can
easily lazy import big modules
* Angular doesn't seem to support ES import (with .js extension), so we
had to correctly organize peertube into a monorepo:
* Use yarn workspace feature
* Use typescript reference projects for dependencies
* Shared projects have been moved into "packages", each one is now a
node module (with a dedicated package.json/tsconfig.json)
* server/tools have been moved into apps/ and is now a dedicated app
bundled and published on NPM so users don't have to build peertube
cli tools manually
* server/tests have been moved into packages/ so we don't compile
them every time we want to run the server
* Use isolatedModule option:
* Had to move from const enum to const
(https://www.typescriptlang.org/docs/handbook/enums.html#objects-vs-enums)
* Had to explictely specify "type" imports when used in decorators
* Prefer tsx (that uses esbuild under the hood) instead of ts-node to
load typescript files (tests with mocha or scripts):
* To reduce test complexity as esbuild doesn't support decorator
metadata, we only test server files that do not import server
models
* We still build tests files into js files for a faster CI
* Remove unmaintained peertube CLI import script
* Removed some barrels to speed up execution (less imports)
Chocobozzz