app.py

import gradio as gr
from gradio.mix import Parallel

description = 'Dialogue summarization models'
title = 'Comparing different dialogue summarization models'


model1 = gr.Interface.load("huggingface/philschmid/bart-large-cnn-samsum",
                            title = 'BART-Large-cnn-samsum',
                            descirption = 'This is a pretrained model' )

model2 = gr.Interface.load("huggingface/anegi/t5smallmodel",
                            title = 'T5-small model',
                            description = 'This is a self made model')


Parallel(model1, model2 ,
         title = title,
         examples=examples,
         inputs = gr.inputs.Textbox(lines = 10),
         theme = 'dark-peach' ).launch())