app.py

from sumy.parsers.plaintext import PlaintextParser
from sumy.parsers.html import HtmlParser
from sumy.nlp.tokenizers import Tokenizer
from sumy.nlp.stemmers import Stemmer
from sumy.utils import get_stop_words

import gradio as gr

import nltk
nltk.download('punkt')


def summarize(method, language, sentence_count, input_type, input_):
  if method== 'LSA':
    from sumy.summarizers.lsa import LsaSummarizer as Summarizer
  if method=='text-rank':
    from sumy.summarizers.text_rank import TextRankSummarizer as Summarizer
  if method=='lex-rank':
    from sumy.summarizers.lex_rank import LexRankSummarizer as Summarizer
  if method=='edmundson':
    from sumy.summarizers.edmundson import EdmundsonSummarizer as Summarizer
  if method=='luhn':
    from sumy.summarizers.luhn import LuhnSummarizer as Summarizer
  if method=='kl-sum':
    from sumy.summarizers.kl import KLSummarizer as Summarizer
  if method=='random':
    from sumy.summarizers.random import RandomSummarizer as Summarizer
  if method=='reduction':
    from sumy.summarizers.reduction import ReductionSummarizer as Summarizer

  if input_type=="URL":
    parser = HtmlParser.from_url(input_, Tokenizer(language))
  if input_type=="text":
    parser = PlaintextParser.from_string(input_, Tokenizer(language))
    
  stemmer = Stemmer(language)
  summarizer = Summarizer(stemmer)
  stop_words = get_stop_words(language)

  if method=='edmundson':
    summarizer.null_words = stop_words
    summarizer.bonus_words = parser.significant_words
    summarizer.stigma_words = parser.stigma_words
  else:
    summarizer.stop_words = stop_words

  summary_sentences = summarizer(parser.document, sentence_count)
  summary = ' '.join([str(sentence) for sentence in summary_sentences])
  
  return summary

title = "sumy library space for automatic text summarization"

description = """
This is a space for [sumy](https://github.com/miso-belica/sumy), an automatic text summarization library. 
The summary can be extracted either from an HTML page or plain text. You can find a list of available summarization 
methods [here](https://github.com/miso-belica/sumy/blob/main/docs/summarizators.md).
"""

methods = ["LSA", "luhn", "edmundson", "text-rank", "lex-rank", "random", "reduction", "kl-sum"]

supported_languages = ["english", "french", "arabic", "chinese", "czech", "german", "italian", "hebrew", 
                        "japanese", "portuguese", "slovak", "spanish", "ukrainian", "greek"]

iface = gr.Interface(
    summarize,
    [
      gr.inputs.Dropdown(methods),
      gr.inputs.Dropdown(supported_languages),
      gr.inputs.Number(default=5),
      gr.inputs.Radio(["URL", "text"], default="URL"),
      gr.inputs.Textbox(5),
    ],
    "text",
    title=title,
    description=description,
    examples=[
        ["kl-sum", 'german', 2, "URL", "https://www.acolono.com/about"]
    ],
)

iface.launch()