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Add an integration for Whisper speech recognition (faster-whisper, mlx-whisper)

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  • ¿Algo no está bien?
#65 0 comentarios 0 reacciones 0 asignados Ver en GitHub

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Evaluación

Dificultad
3/5
Tiempo estimado
1-2 días
Aptitud para principiantes
72/100
Tipo de issue
Nueva funcionalidad
Claridad
Bien especificado
Estado de actividad
Activo
Stack tecnológico
python
Área
machine-learning, observability-sre

Línea de trabajo

Start by reading the existing mlx and transformers integrations and their registration and inference-tracking tests. Implement the Whisper model loading and transcription instrumentation, accounting for faster-whisper's lazy segment generator and optional audio/transcript attachments. The work is done when each transcribe call reports the requested audio metadata, detected-language probability, and output word count, with coverage for the relevant integration paths.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

What happens

There is no integration for Whisper speech recognition. faster-whisper (WhisperModel.transcribe, CTranslate2) and mlx-whisper (mlx_whisper.transcribe) are the common local options, and neither is covered by the existing mlx or transformers integrations.

An app has to register the model with register_model(None, model_id=..., family="whisper", model_format=...) and call track_inference by hand with AudioInputMeta (duration, sample rate, channels), the detected language and, when attachments are enabled, the audio and the transcript.

Expected

A whisper integration (or one each for faster_whisper and mlx_whisper) that:

  • registers the model on load: name from the model directory or repo, format ctranslate2 or mlx, family whisper, device and compute type (e.g. cuda/float16, cpu/int8)
  • tracks each transcribe call: duration, AudioInputMeta (audio length and sample rate), output word count, and the detected language and its probability
  • for faster-whisper, whose transcribe returns a lazy segment generator, measures until the generator is used up, not when transcribe returns
  • when attachments are enabled, attaches the input audio and the transcript

Found in evil-jarvis, which tracks this by hand today (src/evil_jarvis/telemetry.py, track_transcription). SDK 0.2.2.

🤖 Generated with Claude Code

Lenguaje dominante
Python
Estrellas
17
Forks
1
Merge medio
23 min
PR fusionados (30 d)
7

Preparar el entorno

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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