Žiadny popis

subDesTagesMitExtraKaese fef2eb7a81 update readme 2 rokov pred
.github 40237de6f0 remove arm64/v8 2 rokov pred
whisper.cpp @ b2f1600aa3 d701bc3049 fix async subprocess 2 rokov pred
.dockerignore e4de1a1d0a big bang 2 rokov pred
.gitignore e4de1a1d0a big bang 2 rokov pred
.gitmodules 26f403c679 migrate to native cpp implementation 2 rokov pred
Dockerfile d701bc3049 fix async subprocess 2 rokov pred
README.md fef2eb7a81 update readme 2 rokov pred
main.py 57ad32d0b5 add encrypted audio handler 2 rokov pred
requirements.txt a071ae1011 build on alpine 2 rokov pred
speech_recognition.py e39aab4966 add execution lock 2 rokov pred

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"

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>.