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Mathieu Virbel
a809e5e734
If set, will save audio transcription to disk. MP3 conversion is on-request, but cached to disk as well only if it is successfull. Closes #148
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 The project is moving fast, documentation is currently unstable and outdated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