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import gradio as gr | |
from gradio import inputs | |
from gradio.mix import Parallel | |
description = 'Dialogue summarization models' | |
title = 'Comparing different dialogue summarization models' | |
example = [['''Aakash: Do you watched last night match? | |
Vikas: No, I was busy. What happended? | |
Aakash: Barcelona won their game against Sevilla 1-0. Pedri scored an sensational goal. | |
Vikas: Oh really!!! I have to watch the highlights at home. | |
Aakash: Yes, I am so excited for the new upcoming season. Xavi really doing wonders. | |
Vikas: Exactly!! Xavi has changed the way Barcelona play. The good days are coming back. ''']] | |
interface = gr.Interface.load("huggingface/anegi/t5smallmodel", | |
description=description, | |
examples=example, | |
theme = 'dark-peach' | |
) | |
interface.launch() | |