app.py

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",lines=6)],
                    outputs=[gr.Textbox(label="Summary",lines=4)],
                    title="Text Summarizer",
                    description="Summarize your text with DistilBART model")

demo.launch()