from transformers import pipeline import gradio as gr titulo = "Mi primer demo de TranscripciĆ³n" descripcion = "Este es un demo transcriptor audio-texto en espaƱol." modelo = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-large-xlsr-53-spanish") def transcribe(audio): text = modelo(audio)["text"] return text gr.Interface( fn=transcribe, inputs=[gr.Audio(source="microphone", type="filepath")], outputs=["textbox"], title = titulo, description = descripcion ).launch()