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aimlapi-voice
Transcribe audio files (ogg, mp3, wav, etc.) using AIMLAPI. Use when the user provides audio messages or local audio files. Provides a reliable Python script with retries and polling.
Installation
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install aimlapihello/aiml-voiceExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Instructions
AIMLAPI Voice Transcription
Overview
A robust skill for transcribing audio via AIMLAPI's specialized speech-to-text endpoints. It handles queuing, polling for results, and automatic MIME-type detection.
Quick Start
# Set your API key first (if not in env)
# export AIMLAPI_API_KEY="your-key-here"
# Transcribe a file
python {baseDir}/scripts/transcribe.py path/to/audio.ogg
Tasks
Process Voice Messages
When an audio file is received, use this script to extract the text.
python {baseDir}/scripts/transcribe.py <file_path> \
--model "#g1_whisper-medium" \
--verbose
Arguments
-
file: (Required) Path to the audio file. -
--model: Model ID (default:#g1_whisper-medium). -
--out: Path to save the transcript text. -
--poll-interval: Seconds between status checks (default: 5). -
--max-wait: Stop waiting after N seconds (default: 300).
Dependencies
- Python 3
-
AIMLAPI_API_KEYset in environment or provided via--apikey-file.
Informations sur la source
- Source
- github
- Repository
- openclaw/skills
- Path
- skills/aimlapihello/aiml-voice
- Version
- —
- Commit
- 58c9a9a6a958b31db66fbc36e7e6ae0f92ec1a71
- Source de classification
- rules
- Statut
- active
- Visibilité
- public
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Contenu extrait
SKILL.md
# AIMLAPI Voice Transcription
## Overview
A robust skill for transcribing audio via AIMLAPI's specialized speech-to-text endpoints. It handles queuing, polling for results, and automatic MIME-type detection.
## Quick Start
```bash
# Set your API key first (if not in env)
# export AIMLAPI_API_KEY="your-key-here"
# Transcribe a file
python {baseDir}/scripts/transcribe.py path/to/audio.ogg
```
## Tasks
### Process Voice Messages
When an audio file is received, use this script to extract the text.
```bash
python {baseDir}/scripts/transcribe.py <file_path> \
--model "#g1_whisper-medium" \
--verbose
```
### Arguments
- `file`: (Required) Path to the audio file.
- `--model`: Model ID (default: `#g1_whisper-medium`).
- `--out`: Path to save the transcript text.
- `--poll-interval`: Seconds between status checks (default: 5).
- `--max-wait`: Stop waiting after N seconds (default: 300).
## Dependencies
- Python 3
- `AIMLAPI_API_KEY` set in environment or provided via `--apikey-file`.Skills associés
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