<｜begin▁of▁sentence｜>### Instruction:
Given the politicial books graph which you can read from a GML file named polbooks.gml, can you use both louvain and leiden functions in cdlib to perform community detection? And can you use the omega index to evaluate the resemblance between the two detected community structures?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Create a graph from a GML file
g = nx.read_gml('polbooks.gml')

# Detect communities using two different algorithms louvain and leiden
louvain_communities = algorithms.louvain(g)
leiden_communities = algorithms.leiden(g)

# Evaluate the resemblance of the detected communities using the omega index
omega_value = evaluation.omega(louvain_communities, leiden_communities)
print(omega_value.omega_score)
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