Mathieu Virbel 69ba871481 server: refactor to reflector module
- 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)
2023-07-27 15:31:58 +02:00
2023-07-27 18:34:42 +07:00
2023-07-27 15:31:58 +02:00
2023-07-26 15:19:18 +07:00

Reflector

Reflector server is responsible for audio transcription and summarization for now. The project is moving fast, documentation is currently unstable and outdated

Server

We currently use oogabooga as a LLM backend.

Using docker

Create a .env with

LLM_URL=http://IP:HOST/api/v1/generate

Then start with:

$ docker-compose up
Description
100% local ML models for meeting transcription and analysis
Readme MIT 84 MiB
Languages
Python 72.3%
TypeScript 26.9%
JavaScript 0.3%
Dockerfile 0.2%