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_KEY set in environment or provided via --apikey-file.