Update app.py

app.py

@@ -5,12 +5,8 @@ from newspaper import Article
 import json
 import re
 from transformers import GPT2Tokenizer
-import nltk
-from nltk.tokenize import sent_tokenize
 import requests
 
-nltk.download('punkt')
-
 
 # define the text summarizer function
 def text_prompt(request, page_url, contraseña, temp):
@@ -27,7 +23,7 @@ def text_prompt(request, page_url, contraseña, temp):
         return "", f"--- Ha ocurrido un error al procesar la URL: {e} ---", ""
     
     tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
-    sentences = sent_tokenize(page.text)
+    sentences = page.text.split('.')
     
     tokens = []
     page_text = ""