import gradio as gr
title = "HindiASR"
description = "Gradio demo for HindiASR. Made with ❤️ using Wav2Vec2.0, Transformers & Gradio"
# article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2104.06678'>Large-Scale Self- and Semi-Supervised Learning for Speech Translation</a></p>"

# examples = [['common_voice_en_18301577.mp3']]
gr.Interface.load("huggingface/h4d35/Wav2Vec2-hi", 
    title=title,
    description=description
).launch()