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import gradio as gr | |
titulo = "Mi primer demo de Transcripci贸n" | |
descripcion = "Este es un demo transcriptor audio-texto en espa帽ol." | |
from transformers import pipeline | |
import gradio as gr | |
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"] | |
).launch() |