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import gradio as gr
from transformers import pipeline
model = pipeline(task="automatic-speech-recognition",
model="facebook/s2t-medium-librispeech-asr")
def predict_speech_to_text(audio):
prediction = model(audio)
text = prediction['text']
return text
gr.Interface(fn=predict_speech_to_text,
title="🧑🏽🎤 PROLOVE 🥰😘 ",
inputs=gr.inputs.Audio(
source="microphone", type="filepath", label="Input"),
outputs=gr.outputs.Textbox(label="Output"),
description="This application was created to help correct pronouncation",
examples=['Good night_alvi.wav'],
allow_flagging='never'
).launch() |