Sen descrición

subDesTagesMitExtraKaese f9d7f83ac9 handle matrix timeouts		hai 10 meses
.github	d14f5d20d6 Update docker/setup-buildx-action action to v3 (#7)	hai 11 meses
whisper.cpp @ 9286d3f584	b8107f5ccb update whisper	hai 11 meses
.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	f9d7f83ac9 handle matrix timeouts	hai 10 meses
renovate.json	e29743a756 Add renovate.json	hai 1 ano
requirements.txt	87a3e027dd Update dependency matrix-nio to v0.23.0	hai 11 meses
speech_recognition.py	f2312f3faa non verbose wget	hai 1 ano

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>.

README.md

Matrix Speech-To-Text Bot

Usage

Configuration