import torch
import gradio as gr

from transformers import pipeline


text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16)

def summary(input):
    output = text_summary(input)
    return output[0]["summary_text"]

gr.close_all()

demo = gr.Interface(fn=summary,
                    inputs=[gr.Textbox(label="Input text to summarize",lines=6)],
                    outputs=[gr.Textbox(label="Summarized text",lines=4)],
                    title="Text Summarization",
                    description="This application can summarize your input paragraphs, give it a try!")
demo.launch()