Nav apraksta

subDesTagesMitExtraKaese 5e231db249 loosen the range of package versions 1 gadu atpakaļ
.github 69b9a024ed remove arm64 v7 1 gadu atpakaļ
whisper.cpp @ c76c11e59c a6b423ceaa update dependencies 1 gadu atpakaļ
.dockerignore e4de1a1d0a big bang 2 gadi atpakaļ
.gitignore a6b423ceaa update dependencies 1 gadu atpakaļ
.gitmodules 26f403c679 migrate to native cpp implementation 2 gadi atpakaļ
Dockerfile 5e231db249 loosen the range of package versions 1 gadu atpakaļ
README.md f2183cfc3c add language parameter 2 gadi atpakaļ
main.py cd3e70dbbc fix accessing preloaded model 2 gadi atpakaļ
requirements.txt a6b423ceaa update dependencies 1 gadu atpakaļ
speech_recognition.py c6cf19ca70 update dependency 1 gadu atpakaļ

README.md

Matrix Speech-To-Text Bot

Transcribes audio messages using OpenAI Whisper.

This bot is based on Simple-Matrix-Bot-Lib and whisper.cpp. It downloads audio messages from your homeserver, transcribes them locally and responds with the result as a text message.

Usage

The bot is available as an image on DockerHub. You can deploy it using docker-compose:

version: "3.7"

services:
  matrix-stt-bot:
    image: ftcaplan/matrix-stt-bot
    restart: on-failure
    volumes:
      - ./data/:/data/
    environment:
      - "HOMESERVER=https://matrix.example.com"
      - "USERNAME=@stt-bot:example.com"
      - "PASSWORD=<password>"
      - "ASR_MODEL=tiny"
      - "ASR_LANGUAGE=en"

Configuration

The bot will download the model file on first run to reduce image size. Available models are tiny.en, tiny, base.en, base, small.en, small, medium.en, medium, and large. The default is ASR_MODEL=tiny.

You can authenticate using tokens instead of a password by setting LOGIN_TOKEN=<login-token> or ACCESS_TOKEN=<access-token> instead of PASSWORD=<password>.