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| from speechbrain.inference.ASR import EncoderASR | |
| import gradio as gr | |
| model = EncoderASR.from_hparams("speechbrain/asr-wav2vec2-dvoice-wolof") | |
| def transcribe(audio): | |
| return model.transcribe_file(audio.name) | |
| # def transcribe(audio): | |
| # if isinstance(audio, str): # If input is a file path | |
| # return model.transcribe_file(audio) | |
| # else: # If input is audio data from microphone | |
| # return model.transcribe_array(audio) | |
| demo = gr.Interface(fn=transcribe, inputs=["file"], outputs="text", ## , "microphone" | |
| title="Transcription audio en wolof latin by Papa Séga", | |
| description="Ce modèle transcrit un fichier audio en wolof en texte en utilisant l'alphabet latin.", | |
| input_label="Audio en wolof", | |
| output_label="Transcription alphabet latin" | |
| ) | |
| demo.launch() | |