Nessuna descrizione

subDesTagesMitExtraKaese 04e68651fd add video support 2 anni fa
.github 40237de6f0 remove arm64/v8 2 anni fa
whisper.cpp @ 5f7e9fa2dc e4c58840e6 update whisper.cpp 2 anni fa
.dockerignore e4de1a1d0a big bang 2 anni fa
.gitignore e4de1a1d0a big bang 2 anni fa
.gitmodules 26f403c679 migrate to native cpp implementation 2 anni fa
Dockerfile d701bc3049 fix async subprocess 2 anni fa
README.md f2183cfc3c add language parameter 2 anni fa
main.py 04e68651fd add video support 2 anni fa
requirements.txt a071ae1011 build on alpine 2 anni fa
speech_recognition.py 04e68651fd add video support 2 anni fa

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>.