from streaming_stt_nemo import Model, available_languages

import gradio as gr



LANGUAGES = available_languages
default_lang = "en"


engines = {
    default_lang: Model(default_lang)
}

examples = [[f"./audio/{lang}.mp3", lang] for lang in LANGUAGES]



def transcribe(audio, language: str):
    if language not in engines:
        engines[language] = Model(language)
        
    model = engines[language]
    text = model.stt_file(audio)[0]
    return text




gr.Interface(
    fn=transcribe, 
    inputs=[
        gr.Audio(source="microphone", type="filepath"),
        gr.Radio(
                label="Language",
                choices=LANGUAGES,
                value=default_lang
            )
    ],
    outputs=[
        "textbox"
    ],
    examples = examples,
    cache_examples=True,
    live=True).launch()