| import gradio as gr | |
| title = "HindiASR" | |
| description = "Gradio demo for HindiASR" | |
| # 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() |