Sen descrición

subDesTagesMitExtraKaese 01b696178c update dependencies		hai 1 ano
.github	cd3e70dbbc fix accessing preloaded model	%!s(int64=2) %!d(string=hai) anos
whisper.cpp @ ac521a566e	01b696178c update dependencies	hai 1 ano
.dockerignore	e4de1a1d0a big bang	%!s(int64=2) %!d(string=hai) anos
.gitignore	e4de1a1d0a big bang	%!s(int64=2) %!d(string=hai) anos
.gitmodules	26f403c679 migrate to native cpp implementation	%!s(int64=2) %!d(string=hai) anos
Dockerfile	7aa1076802 add preloaded model images	%!s(int64=2) %!d(string=hai) anos
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
requirements.txt	a071ae1011 build on alpine	%!s(int64=2) %!d(string=hai) anos
speech_recognition.py	cd3e70dbbc fix accessing preloaded model	%!s(int64=2) %!d(string=hai) anos

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