app.py

# >>>>>>   Adapted/frankensteined from these scripts:   <<<<<<<
#                 for Summary Interface:
# >>>>https://huggingface.co/spaces/khxu/pegasus-text-summarizers/blob/main/app.py
# 

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

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

io1 = gr.Interface.load('huggingface/SamuelMiller/lil_sumsum')      

# from original script:
# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
# 'huggingface/google/pegasus-large'

desc =  "Summarize some text!"
iface = Parallel(io1,
                 theme='huggingface', 
                 title= 'lil sum sum 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)