File size: 471 Bytes
4255a50
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
import gradio as gr
from transformers import pipeline

pipe = pipeline(task="automatic-speech-recognition", 
                model="facebook/s2t-medium-librispeech-asr")
gr.Interface.from_pipeline(pipe,
                           title="Automatic Speech Recognition (ASR)",
                           description="Using pipeline with Facebook S2T for ASR.",
                           # examples=['data/ljspeech.wav',],
                           ).launch(inbrowser=True)