<｜begin▁of▁sentence｜>### Instruction:
Given a graph of the power grid you can read from a GML file named power.gml, can you use the sbm_dl_nested function from cdlib to perform community detection through the stochastic block model, and then generate a JSON representation of the communities detected?
### Response:
import networkx as nx
from cdlib import algorithms

# Read the power grid graph
G = nx.read_gml('power.gml')

# Perform community detection using the SBM_DL algorithm
communities = algorithms.sbm_dl_nested(G)

# Generate a JSON representation of the detected communities
communities_json = communities.to_json()

print(communities_json)
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