<｜begin▁of▁sentence｜>### Instruction:
Given the Les Miserables Graph which you can read from a GML file named lesmis.gml, can you use the Louvain community detection algorithm in cdlib to perform community detection? And can you compute how likely it is that the partition of dense communities detected would appear in a random graph by calculating the significance?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Load the Les Miserables graph
G = nx.read_gml('lesmis.gml')

# Perform community detection using the Louvain algorithm
communities = algorithms.louvain(G)

# Compute the significance of the detected communities
significance_score = evaluation.significance(G, communities)

# Print the significance score
print(significance_score.score)
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