<｜begin▁of▁sentence｜>### Instruction:
Given the 'Les Miserables' graph which you can read from a gml file named lesmis.gml, can you use the endntm function in cdlib to perform overlapping community detection by using an ensemble of community detection algorithms (Louvain, Label Propagation, and Walktrap)? Additionally, can you create and print out a JSON representation of the obtained communities?
### Response:
import networkx as nx
from cdlib import algorithms

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

# Perform community detection using Louvain, Label Propagation, and Walktrap algorithms
coms_l = [algorithms.louvain(G), algorithms.label_propagation(G), algorithms.walktrap(G)]

# Apply EnDNTM for overlapping community detection with an epsilon value of 2
coms = algorithms.endntm(G, coms_l, epsilon=2)

# Generate a JSON representation
coms_json = coms.to_json()

print(coms_json)
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