Update app.py

app.py

@@ -2,16 +2,18 @@
 import re
 import nltk
 from nltk.tokenize import sent_tokenize
-nltk.download('punkt')
+nltk.download("punkt")
 import gradio as gr
 from gradio.mix import Parallel
 
+
 # Defining a function to read in the text file
 def read_in_text(url):
-  with open(url, 'r') as file:
+  with open(URL, "r") as file:
     article = file.read()
     return article
-    
+
+      
 #Doing some text preprocessing, more will still be needed later
 def clean_text(text):
   #text = read_in_text(url)
@@ -38,6 +40,7 @@ from transformers import (
 tokenizer = AutoTokenizer.from_pretrained("valurank/final_headline_generator")
 model = AutoModelForSeq2SeqLM.from_pretrained("valurank/final_headline_generator")
 
+
 #Defining a function to generate the headlines
 def headline_generator_2(file):
   input_text = file