[Feature Request] Constrain Available Languages when Autodetecting Language

[WesleyFister]

Currently Faster-Whisper only allows you to specify a single language or attempt to detect the language out of a pool of 94 languages. I would like to be able to limit what languages can be detected. Something like the following to limit autodetection to only English, Spanish and French.
model.transcribe("audio.mp3", beam_size=5, language=["en", "es", "fr"])

[MahmoudAshraf97]

You can already do this, detect_language function retrns the probability of all languages, you can then exclude ll languages except these 3 and choose the one with the highest probability and pass it manually to transcribe

[WesleyFister]

I see, I don't think the version of Faster-Whisper I was using (1.0.3) allowed you to return language probabilities like this. I wrote some code to return the desired languages. It works fine but I still think it would simpler for the user if you could just pass in a language list in the transcribe function. I'll let you decide to close this issue or not.

from scipy.io import wavfile

def limit_languages(audio, allowed_languages):
    sampling_rate, audio_data = wavfile.read(audio)

    model = WhisperModel("large-v2", device="cpu", compute_type="int8")
    language, language_probability, all_language_probs = model.detect_language(audio_data)

    score = 0
    for language_code, language_prob in all_language_probs:
        for allowed_language in allowed_languages:
            if language_code == allowed_language:
                if language_prob > score:
                    score = language_prob
                    detected_language = language_code

    return detected_language```