Update app.py

app.py

@@ -4,7 +4,6 @@ import nltk
 import torch
 from nltk.tokenize import sent_tokenize
 nltk.download('punkt')
-from IPython.display import HTML, display
 import gradio as gr
 from gradio.mix import Parallel
 from transformers import pipeline
@@ -25,6 +24,7 @@ tokenizer = BartTokenizer.from_pretrained("facebook/bart-large-cnn")
 
 #Defining a function to get the summary of the article
 def final_summary(file):
+    
   #reading in the text and tokenizing it into sentence
   text = read_in_text(file.name)
   chunks = sent_tokenize(text)