Update app.py

app.py

@@ -32,7 +32,7 @@ def display_eigenvalue_analysis():
 
         # Calculate the normalized Laplacian matrix
         L = nx.normalized_laplacian_matrix(G)
-        eigenvalues = numpy.linalg.eigvals(L.toarray())
+        eigenvalues = np.linalg.eigvals(L.toarray())
 
         # Print largest and smallest eigenvalues
         st.write(f"Largest eigenvalue: {max(eigenvalues)}")