Sen descrición

user d14f5d20d6 Update docker/setup-buildx-action action to v3 (#7) hai 11 meses
.github d14f5d20d6 Update docker/setup-buildx-action action to v3 (#7) hai 11 meses
whisper.cpp @ ec7a6f04f9 9815ad778b update whisper.cpp hai 1 ano
.dockerignore e4de1a1d0a big bang %!s(int64=2) %!d(string=hai) anos
.gitignore a6b423ceaa update dependencies hai 1 ano
.gitmodules 26f403c679 migrate to native cpp implementation %!s(int64=2) %!d(string=hai) anos
Dockerfile 77fd627a4b Update python Docker tag to v3.12 hai 1 ano
README.md f2183cfc3c add language parameter %!s(int64=2) %!d(string=hai) anos
main.py cd3e70dbbc fix accessing preloaded model %!s(int64=2) %!d(string=hai) anos
renovate.json e29743a756 Add renovate.json hai 1 ano
requirements.txt 0174d55123 Update dependency simplematrixbotlib to v2.10.3 hai 11 meses
speech_recognition.py f2312f3faa non verbose wget hai 1 ano

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>.