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import gradio as gr | |
from transformers import pipeline | |
model = pipeline('automatic-speech-recognition', model='facebook/wav2vec2-base-960h') | |
def audiototext(audio): | |
text = model(audio)['text'] | |
return text | |
gr.Interface( | |
fn=audiototext, | |
inputs=gr.Audio(source="upload", type="filepath"), | |
outputs=["textbox"], | |
examples = ['Hey_Siri.wav', 'Martin.mp3','download.wav','30_Second_Song.mp3'], | |
title = "AUDIO TO TEXT CONVERSION" | |
).launch() |