Sen descrición

subDesTagesMitExtraKaese 69b9a024ed remove arm64 v7 hai 1 ano
.github 69b9a024ed remove arm64 v7 hai 1 ano
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 9ad5ce3155 update model cdn 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
requirements.txt a071ae1011 build on alpine %!s(int64=2) %!d(string=hai) anos
speech_recognition.py 9ad5ce3155 update model cdn 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>.