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import gradio as gr
from gradio import inputs
from gradio.mix import Parallel
description = 'Comparing dialogue summarization models'
io1 = gr.Interface.load("huggingface/anegi/t5smallmodel",
title='Dialogue Summarization using t5-small model',
inputs = [
gr.inputs.Textbox(lines = 7, label = 'Text', placeholder = 'Enter your text here: ')
],
description='This is a self trained model',
theme='dark'
)
io2 = gr.Interface.load("huggingface/philschmid/bart-large-cnn-samsum",
title='Dialogue Summarization using bart large cnn',
inputs = [
gr.inputs.Textbox(lines = 7, label = 'Text', placeholder = 'Enter your text here: ')
],
description='This is a pre trained model '
)
Parallel(io1,io2).launch() |