Нема описа

subDesTagesMitExtraKaese 458ad177fd typo пре 2 година
.github 40237de6f0 remove arm64/v8 пре 2 година
whisper.cpp @ 5f7e9fa2dc e4c58840e6 update whisper.cpp пре 2 година
.dockerignore e4de1a1d0a big bang пре 2 година
.gitignore e4de1a1d0a big bang пре 2 година
.gitmodules 26f403c679 migrate to native cpp implementation пре 2 година
Dockerfile 458ad177fd typo пре 2 година
README.md 19d53a729b revert whisper.cpp пре 2 година
main.py 19d53a729b revert whisper.cpp пре 2 година
requirements.txt 19d53a729b revert whisper.cpp пре 2 година
speech_recognition.py f3a6a33a23 fail on ffmpeg errors пре 2 година

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"
      - "XDG_CACHE_HOME=/data/cache"

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>.