<｜begin▁of▁sentence｜>### Instruction:
As a Tax Consultant, you're advising a group involved in a large-scale book publishing project focused on US politics. They've compiled a network of books and would like to understand the communities within this network. Using the Louvain method, they seek to detect communities and calculate the number of edges internal to each community. The network data is stored in a GML file named polbooks.gml. Can you assist in computing the number of internal edges for the detected communities within the network?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Create a graph from a file
G = nx.read_gml('path_to_polbooks.gml')

# Detect communities using the Louvain method
communities = algorithms.louvain(G)

# Evaluate the number of edges inside each detected community
edges_inside = evaluation.edges_inside(G, communities)

# Print the result
print(edges_inside)
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