Update app.py

app.py

@@ -55,7 +55,7 @@ def display_eigenvalue_analysis():
 
             # Calculate the normalized Laplacian matrix
             L = nx.normalized_laplacian_matrix(G_custom)
-            eigenvalues = numpy.linalg.eigvals(L.toarray())
+            eigenvalues = np.linalg.eigvals(L.toarray())
 
             # Print largest and smallest eigenvalues
             st.write(f"Largest eigenvalue: {max(eigenvalues)}")