<｜begin▁of▁sentence｜>### Instruction:
As a Color Consultant, I often help clients make decisions on color schemes and paint selection for their homes or businesses. Similarly, I can assist with community detection by using the CONGO function in cdlib to analyze a network graph. Imagine you are a homeowner looking to accentuate the distinct areas of your home by painting them with different color schemes. In this case, you could provide me with a GML file named "polbooks.gml," which represents a network graph of books about US politics. With this information, I can apply the CONGO function to identify three distinct communities within the graph, analogous to creating three distinct color schemes for different areas of your home. Upon completion, I can then provide you with the details of each community, similar to presenting you with the recommended color schemes for each area of your home.
### Response:
import networkx as nx
from cdlib import algorithms

# Reading the graph from a GML file
G = nx.read_gml('polbooks.gml')

# Applying the CONGO algorithm to detect communities
communities = algorithms.congo(G, number_communities=3, height=2)

# Printing the communities
for community in communities.communities:
    print(community)
<|EOT|>
