# -*- coding: utf-8 -*-
"""Copy of text summarization.ipynb

Automatically generated by Colab.

Original file is located at
    https://colab.research.google.com/drive/12ph83wSwEKGni2qgQjSRJE-EY0KJs-jL
"""


import gradio as gr

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

pipe = pipeline("summarization", model="facebook/bart-large-cnn")

def summarize_text(text):
    result = pipe(text, max_length=500, min_length=30, do_sample=False)
    # Extract the summary from the result
 #   summary = result[0]['generated_text']
    return result


iface = gr.Interface(
  fn=summarize_text,
  inputs = gr.Textbox(lines=4, placeholder="Enter text to summarize..."),
  outputs = "text",
  title="Text Summarizer",
  description="Enter text and get a concise summary.",
  )


iface.launch(share = True)