* fix: local processing instead of http server for cpu
* add fallback token if service worker doesnt work
* chore: rename processors to keep processor pattern up to date and allow other processors to be createed and used with env vars
On ARM64, the docker iamge crash because torch cannot load libgomp.so.1
-- Look like pytorch does not install the same packages depending the
platform.
AMD64:
/app/.venv/lib/python3.12/site-packages/torch/lib/libgomp.so.1
/app/.venv/lib/python3.12/site-packages/ctranslate2.libs/libgomp-a34b3233.so.1.0.0
/app/.venv/lib/python3.12/site-packages/scikit_learn.libs/libgomp-a34b3233.so.1.0.0
ARM64:
/app/.venv/lib/python3.12/site-packages/ctranslate2.libs/libgomp-d22c30c5.so.1.0.0
/app/.venv/lib/python3.12/site-packages/scikit_learn.libs/libgomp-947d5fa1.so.1.0.0
/app/.venv/lib/python3.12/site-packages/torch.libs/libgomp-947d5fa1.so.1.0.0
* ci: use github-token to get around potential api throttling
* build: put pyannote-audio separate to the project
* fix: now that we have a readme, use it
* build: add UV_NO_CACHE
* build: move to uv
* build: add packages declaration
* build: move to python 3.12, as sentencespiece does not work on 3.13
* ci: remove pre-commit check, will be done in another branch.
* ci: fix name checkout
* ci: update lock and dockerfile
* test: remove event_loop, not needed in python 3.12
* test: updated test due to av returning AudioFrame with 4096 samples instead of 1024
* build: prevent using fastapi cli, because there is no way to set default port
I don't want to pass --port 1250 every time, so back on previous
approach. I deactivated auto-reload for production.
* ci: remove main.py
* test: fix quirck with httpx
* serverless: implement banana backend for both audio and LLM
Related to monadical-sas/reflector-gpu-banana project
* serverless: got llm working on banana !
* tests: fixes
* serverless: fix dockerfile to use fastapi server + httpx
- replaced loguru to structlog, to get ability of having open tracing later
- moved configuration to pydantic-settings
- merged both secrets.ini and config.ini to .env (check reflector/settings.py)
