from newspaper import Article
from newspaper import Config
import nltk
nltk.download('punkt')

from transformers import pipeline

import gradio as gr

from gradio.mix import Parallel, Series

def auto_link(url):
  USER_AGENT = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:78.0) Gecko/20100101 Firefox/78.0'
  configuration = Config()
  configuration.browser_user_agent = USER_AGENT
  configuration.request_timeout = 10
  abstract = Article(url, config =configuration)
  abstract.download()
  abstract.parse()
  text = abstract.text
  return text
  
 
extract = gr.Interface(auto_link, 'text', 'text')
abstractive_summarization = gr.Interface.load("huggingface/facebook/bart-large-cnn")

example_urls = [['https://www.ibm.com/cloud/learn/machine-learning/'],
                ['https://www.cnn.com/2021/11/24/us/arctic-ocean-early-warming-climate/index.html/'],
                ['https://www.britannica.com/topic/Pyramids-of-Giza']]

title =  '''
        summarizeer
        
        '''

UI_summarizer = Series(extract, abstractive_summarization, inputs = gr.inputs.Textbox (lines = 2, label = 'URL'),
               outputs = 'text', title = 'Summarization', theme = 'huggingface', description = title, 
               examples= example_urls)
               
UI_summarizer.launch(inline = False)