app.py

import gradio as gr
from transformers import pipeline
from gradio.mix import Parallel, Series

def greet(name):
    return "Hello " + name + "!!"

# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
io1 = gr.Interface.load('huggingface/google/pegasus-large')      

desc =  "Summarize some text!"

iface = Parallel(
                 theme='huggingface', 
                 title= 'Hugging Face Text Summarizer', 
                 description = desc,
                 examples=None, #replace "sample" with directory to let gradio scan through those files and give you the text
                 inputs = gr.inputs.Textbox(lines = 10, label="Text"))

iface.launch(inline = False)