<｜begin▁of▁sentence｜>### Instruction:
Given the Word Adjacencies graph which you can read from a GML file named adjnoun.gml, can you use the Louvain algorithm from cdlib to detect communities and then remap the community node IDs to the original labels? After this, generate and print a JSON representation of the remapped communities.
### Response:
import networkx as nx
from cdlib import algorithms, NodeClustering

# Creating a sample graph
G = nx.read_gml('adjnoun.gml')

# Detecting communities with the Louvain method
communities = algorithms.louvain(G)

# Remap node communities to recover the original labels
remapped_communities = communities.remap_node_communities(dict(G.nodes(data='label')))

# Generating JSON representation of the remapped communities
communities_json = remapped_communities.to_json()
print(communities_json)
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