app.py

import gradio as gr
from transformers import pipeline

#get_completion = pipeline("summarization", model="shleifer/distilbart-cnn-12-6")
summarizer = pipeline("summarization", model="Falconsai/text_summarization")

print(summarizer(ARTICLE, max_length=230, min_length=30, do_sample=False))

def summarize(input):
    #output = get_completion(input)
    output = summarizer(ARTICLE, max_length=230, min_length=30, do_sample=False))
    #return output[0]['summary_text']
    return output

demo = gr.Interface(fn=summarize, inputs="text", outputs="text")
demo.launch()