<｜begin▁of▁sentence｜>### Instruction:
Given an undirected graph with the edge set [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6), (6, 7), (7, 0), (0, 2), (1, 3), (2, 4), (3, 5), (4, 6), (5, 7), (6, 0), (7, 1)], how can the label_propagation_communities function from NetworkX be used to detect communities?
### Response:
import networkx as nx
from networkx.algorithms.community import label_propagation_communities

# Create an undirected graph
G = nx.Graph()
G.add_edges_from([(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6), (6, 7), (7, 0), (0, 2), (1, 3), (2, 4), (3, 5), (4, 6), (5, 7), (6, 0), (7, 1)])

# Use label propagation to find communities
communities = list(label_propagation_communities(G))

# Print the communities
print('The detected communities are:', communities)
<|EOT|>
