<｜begin▁of▁sentence｜>### Instruction:
Given the C. elegans neural network Graph which you can read from a gml file named celegansneural.gml, can you use the CPM_Bipartite function in cdlib to perform community detection on the bipartite graph? Additionally, can you output a JSON representation of the detected communities?
### Response:
import networkx as nx
from cdlib import algorithms
from networkx.algorithms import bipartite

# Load a bipartite graph
B = nx.read_gml('celegansneural.gml')

# Check if the given graph is bipartite
is_bipartite = bipartite.is_bipartite(B)
if is_bipartite:
    # Find the two sets of nodes in the bipartite graph
    nodes = bipartite.sets(B)

    # Apply the CPM_Bipartite community detection algorithm
    coms = algorithms.CPM_Bipartite(B, 0.5, resolution_parameter_0=0.5, resolution_parameter_1=0.5, resolution_parameter_01=0.1, degree_as_node_size=False)
    
    # Getting the JSON representation of the partitioning
    coms_json = coms.to_json()
    print(coms_json)
else:
    print('The graph is not bipartite!')
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