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from stable_cascade import web_demo | |
import gradio as gr | |
# Create a Gradio interface | |
gradio_app = gr.Blocks() | |
with gradio_app: | |
gr.HTML( | |
""" | |
<h1 style='text-align: center'> | |
WhisperPlus: Advancing Speech-to-Text Processing π | |
</h1> | |
""") | |
gr.HTML( | |
""" | |
<h3 style='text-align: center'> | |
Follow me for more! | |
<a href='https://twitter.com/kadirnar_ai' target='_blank'>Twitter</a> | <a href='https://github.com/kadirnar' target='_blank'>Github</a> | <a href='https://www.linkedin.com/in/kadir-nar/' target='_blank'>Linkedin</a> | <a href='https://www.huggingface.co/kadirnar/' target='_blank'>HuggingFace</a> | |
</h3> | |
""") | |
with gr.Row(): | |
with gr.Column(): | |
web_demo() | |
gradio_app.queue() | |
gradio_app.launch(debug=True) |