app.py

from transformers import pipeline
import gradio as gr

summarizer = pipeline("summarization", model="Afsara/fb_bart_large_cnn")

def summarize(input):
    output = summarizer(input, max_length=130, min_length=30, do_sample=False)
    return output[0]['summary_text']
    
gr.close_all()

demo = gr.Interface(fn=summarize, 
                    inputs=[gr.Textbox(label="Text to summarize", lines=6)],
                    outputs=[gr.Textbox(label="Result", lines=3)],
                    title="Text summarization with distilbart-cnn",
                    description="Summarize any text using the `shleifer/distilbart-cnn-12-6` model under the hood!"
                   )

demo.launch()