<｜begin▁of▁sentence｜>### Instruction:
Given the Astrophysics collaborations graph 'astro-ph.gml', can you use the Louvain method in cdlib to detect communities and compute the number of edges internal to each community? And can you output the aggregated score for the entire partition?
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read the graph from a file
G = nx.read_gml('astro-ph.gml')

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

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

# If summary=True, it returns an aggregated score for the partition
# otherwise, it returns individual-community scores
print(edges_inside_result.score)
<|EOT|>
