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from transformers import pipeline
import gradio as gr
import time
modelo = pipeline("automatic-speech-recognition", model = "facebook/wav2vec2-large-xlsr-53-spanish")
def transcribe(audio):
time.sleep(2)
text = modelo(audio)["text"]
return text
gr.Interface(
fn=transcribe,
inputs=[
gr.Audio(source="microphone", type="filepath")
],
outputs=[
"textbox",
],
live=True,).launch(share=True) |