<｜begin▁of▁sentence｜>### Instruction:
Given the Books about US politics graph which can be read from a gml file named polbooks.gml, can you use the Louvain algorithm to detect communities and then plot the community graph? The plot should have a figure size of (10, 10), a node size of 100, and utilize the 'viridis' colormap. Overlaps and labels do not need to be plotted, and all communities should be included regardless of their size.
### Response:
from cdlib import algorithms, viz
import networkx as nx

# Reading the book network data
G = nx.read_gml('polbooks.gml')

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

# Plot the community graph
viz.plot_community_graph(G, coms, figsize=(10, 10), node_size=100, plot_overlaps=False, plot_labels=False, cmap='viridis', top_k=0, min_size=0)
<|EOT|>
