Без опису

subDesTagesMitExtraKaese 07fcca9865 build for arm64 v7 and v8 1 рік тому
.github 07fcca9865 build for arm64 v7 and v8 1 рік тому
whisper.cpp @ ac521a566e 01b696178c update dependencies 1 рік тому
.dockerignore e4de1a1d0a big bang 2 роки тому
.gitignore e4de1a1d0a big bang 2 роки тому
.gitmodules 26f403c679 migrate to native cpp implementation 2 роки тому
Dockerfile 9ad5ce3155 update model cdn 1 рік тому
README.md f2183cfc3c add language parameter 2 роки тому
main.py cd3e70dbbc fix accessing preloaded model 2 роки тому
requirements.txt a071ae1011 build on alpine 2 роки тому
speech_recognition.py 9ad5ce3155 update model cdn 1 рік тому

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>.