<｜begin▁of▁sentence｜>### Instruction:
Given the Power grid Graph which you can read from a GML file named power.gml, after performing the Louvain community detection algorithm, how do you remap the communities to the original node labels of the graph?
### Response:
import networkx as nx
from cdlib import algorithms, NodeClustering

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

# Perform community detection on the graph
communities = algorithms.louvain(G)

# Create a node mapping from numeric id to node label. This is typically needed when the
# original graph has string labels but they were converted to integers.
node_map = {i: n for i, n in enumerate(G.nodes())}

# Remap communities to original node labels
remapped_communities = NodeClustering.remap_node_communities(communities, node_map)

# Print the remapped communities
print(remapped_communities)
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