Update app.py

app.py

@@ -5,11 +5,12 @@ from langchain.llms import CTransformers
 from transformers import AutoModelForCausalLM, AutoTokenizer
 from transformers import pipeline
 from langchain.llms.huggingface_pipeline import HuggingFacePipeline
-from sentence_transformers import SentenceTransformer
+from sentence_transformers import SentenceTransformer, util
 from sklearn.cluster import KMeans
 import nltk
 nltk.download('punkt')
 from nltk.tokenize import word_tokenize
+from nltk import tokenize
 import numpy as np
 import scipy.spatial
 import csv
@@ -59,11 +60,6 @@ def calculate_similarity(word, other_words, model, threshold=0.5):
     return None, None
 
 
-from sentence_transformers import SentenceTransformer, util
-import nltk
-nltk.download('punkt')  # Ensure you have the punkt tokenizer models
-from nltk import tokenize
-
 def highlight_similar_paragraphs_with_colors(paragraphs, similarity_threshold=0.25):
     # Load a pre-trained sentence-transformer model
     model = SentenceTransformer('all-MiniLM-L6-v2')