# Use a pipeline as a high-level helper
from transformers import pipeline
import gradio as gr
import os

pipe = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")

def summarize(input):
    output = pipe(input)
    return output[0]['summary_text']
    
gr.close_all()
demo = gr.Interface(fn=summarize, 
                    inputs=[gr.Textbox(label="Text to summarize", lines=10)], 
                    outputs=[gr.Textbox(label="Text to summarize", lines=5)],
                    title="Text Summarization", 
                    description="Summarize any text using distilbart")
demo.launch()