Nessuna descrizione

subDesTagesMitExtraKaese f9d7f83ac9 handle matrix timeouts 10 mesi fa
.github d14f5d20d6 Update docker/setup-buildx-action action to v3 (#7) 11 mesi fa
whisper.cpp @ 9286d3f584 b8107f5ccb update whisper 11 mesi fa
.dockerignore e4de1a1d0a big bang 2 anni fa
.gitignore a6b423ceaa update dependencies 1 anno fa
.gitmodules 26f403c679 migrate to native cpp implementation 2 anni fa
Dockerfile 77fd627a4b Update python Docker tag to v3.12 1 anno fa
README.md f2183cfc3c add language parameter 2 anni fa
main.py f9d7f83ac9 handle matrix timeouts 10 mesi fa
renovate.json e29743a756 Add renovate.json 1 anno fa
requirements.txt 87a3e027dd Update dependency matrix-nio to v0.23.0 11 mesi fa
speech_recognition.py f2312f3faa non verbose wget 1 anno 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>.