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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.'''],
['''Rohit: Hi, how’re you?
Mahesh: I’m fine. What about you?
Rohit: Good. How’s your work going on?
Mahesh: Not great.
Rohit: Why? What happened?
Mahesh: I can’t cope with my manager. He was fine, to begin with, but not anymore. But that’s not the only reason.
Rohit: Then?
Mahesh: Also, the commute time to the office is just too much at the moment, and I don’t foresee a shift to a closer location in this organization. Too much time on the road is taking a toll on me.
Rohit: Got it. So have you been applying elsewhere?
Mahesh: I am, but the route of sending resumes and cover letters have so far not yielded much. It seems as if they’re disappearing into a black hole, with little to no response coming. Do you know persons in the industry who can help me land interviews?
Rohit: Sending resumes cold doesn’t work well. Offhand, I don’t recall a contact in your industry, but lemme try through people I know. I’ll let you know.
Mahesh: Thanks.''']]
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,
description = description,
inputs = gr.inputs.Textbox(lines = 7, label = 'Input Text', placeholder = 'Please enter your dialogue text here'),
examples = example,
theme = 'dark-peach' ).launch()
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