<｜begin▁of▁sentence｜>### Instruction:
Given the neural network of the C. elegans which you can read from a gml file named 'celegansneural.gml', can you use the Louvain method to detect communities and compute the internal edge density of the resulting communities? Notes: You need to print the internal edge density score of the resulting communities.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read the graph from 'celegansneural.gml'
G = nx.read_gml('celegansneural.gml')

# Perform community detection using the Louvain method
communities = algorithms.louvain(G)

# Compute the internal edge density
internal_density = evaluation.internal_edge_density(G, communities, summary=True)

# Print the internal edge density result
print(internal_density.score)
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