<｜begin▁of▁sentence｜>### Instruction:
Given the high-energy theory collaborations graph which you can read from a GML file named hep-th.gml, can you apply the Louvain community detection method using cdlib to detect communities, write the communities to a CSV file, and then read the community structure back from the CSV file?
### Response:
import networkx as nx
from cdlib import algorithms, readwrite

# Load a graph
G = nx.read_gml('hep-th.gml')

# Apply the Louvain community detection algorithm
c = algorithms.louvain(G)

# Write the detected communities to a CSV file
readwrite.write_community_csv(c, 'hep-th_communities.csv')

# Read the communities from the CSV file
c = readwrite.read_community_csv('hep-th_communities.csv', delimiter=',', nodetype=str)
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