<｜begin▁of▁sentence｜>### Instruction:
As a forensic scientist, you've been tasked with analyzing the network of word adjacencies found in a GML file named adjnoun.gml, which is believed to contain critical information related to a criminal investigation. A powerful tool for this task is the Louvain method offered by the cdlib API, which can perform community detection on the graph. Additionally, you are required to compute the average internal degree of the communities and provide this information for further analysis in the legal proceedings.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

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

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

# Compute the average internal degree for the detected communities
avg_internal_degree = evaluation.average_internal_degree(G, communities)

print(avg_internal_degree)
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