Update app.py

app.py

@@ -8,6 +8,9 @@ import matplotlib.pyplot as plt
 from collections import defaultdict, Counter
 import base64
 from sklearn.manifold import MDS
+from sklearn.decomposition import PCA
+from sklearn.manifold import TSNE
+from sklearn.cluster import KMeans
 import networkx as nx
 
 # Set page configuration
@@ -437,7 +440,7 @@ if uploaded_file is not None:
         # Feature Extraction
         all_words = set(word for folio in folio_word_map for word in folio_word_map[folio])
         word_freq_matrix = pd.DataFrame(index=folio_word_map.keys(), columns=list(all_words), data=0)  # Convert set to list
-    
+
         for folio, word_counter in folio_word_map.items():
             for word, count in word_counter.items():
                 word_freq_matrix.loc[folio, word] = count