mirror of https://github.com/suitenumerique/meet.git synced 2026-07-27 20:29:09 +00:00

Files

T

Florent Chehab 90ebe231ef 🐛(summary) complete webm support

When duration is not reported in the files metadata,
we directly infer the duration from the audio packets.
This prevents errors on webm files.

Very simple audio & video test files have been added
that cover relevant usecases to prevent regressions.

2026-05-11 23:00:54 +02:00

summary

🐛(summary) complete webm support

2026-05-11 23:00:54 +02:00

tests

🐛(summary) complete webm support

2026-05-11 23:00:54 +02:00

Dockerfile

🩹(summary) fix pip uninstall order in build stages

2026-02-20 18:27:17 +01:00

pyproject.toml

⬆️(dependencies) update pytest to v9.0.3 [SECURITY]

2026-05-04 14:24:53 +02:00

README.md

📝(docs) add summarization documentation

2025-10-06 14:53:56 +02:00

README.md

Experimental Stack

This is an experimental part of the stack. It currently lacks proper observability, unit tests, and other production-grade features. This serves as the base for AI features in Visio.

How it works

Please refer to the Recording feature documentation and the Transcription feature documentation.

How to develop

(To develop locally follow the instructions on developing La Suite Meet locally)

From the root of the project:

make bootstrap

Configure your env values in env.d/summary to properly set up WhisperX and the LLM API you will call.

make run

When the stack is up, configure the MinIO webhook (TODO: add this step to make bootstrap)

make minio-webhook-setup

If you want to develop on the Celery workers with hot reloading, run:

docker compose watch celery-summary-transcribe celery-summary-summarize

Celery workers will hot reload on any change.