Overview
- Skill Key
- bohnwuks/stt
- Author
- bohnwuks
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/bohnwuks/stt
- Latest Commit SHA
- 15b7771cc3dc43e9db3d5af23c1f62b8a7c1abfb
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
安装方式
直接复制以下提示词，发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 Stt 技能。 若已安装，则直接安装 Stt 技能。
Extracted Content
SKILL.md excerpt
# Speech-to-Text (STT) Skill Transcreve arquivos de áudio para texto usando OpenAI Whisper, otimizado para português (Brasil). ## When to use - Converter mensagens de voz ou áudios para texto - Transcrever áudios do WhatsApp, Telegram, etc. - Processar formatos: OGG, WAV, MP3, M4A, FLAC, AAC, OPUS - Obter transcrições com timestamps - Processar conteúdo em português brasileiro ## Tools - stt_transcribe: Transcreve um arquivo de áudio específico - stt_watch: Inicia monitoramento contínuo da pasta inbound - stt_batch: Processa todos os áudios pendentes de uma vez ## Setup 1. **Instalar dependências:** ```bash pip install -r requirements.txt ``` 2. Instalar FFmpeg (necessário pelo Whisper): - Windows: execute install_ffmpeg.cmd ou winget install "Gyan.FFmpeg" - macOS: brew install ffmpeg - Linux: sudo apt install ffmpeg 3. Criar pasta de entrada: ```bash mkdir -p ../../../media/inbound ``` ## Usage ### Transcrever arquivo específico ```bash python stt_processor.py --file /caminho/para/audio.ogg ``` ### Transcrever todos os áudios pendentes ```bash python stt_processor.py
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