app.py

import gradio as gr
from gradio.mix import Parallel

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

example = [[''' A: Hello B. How are you?
B: I'm good. How's your course going on these days?
A: It's going well. Pretty tiring but overall fun.
B: That's great to hear. If you are free wanna grab a cup of coffee?
A: Sure!!!! I recently discovered a new cafe near my home.
B: Awesome. Let's go.''']]

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

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


Parallel(model1, model2 ,
         title = title,
         inputs = gr.inputs.Textbox(lines = 7, label = 'Input Text', placeholder = 'Please enter your dialogue text here'),
         examples = example,
         theme = 'dark-peach' ).launch()