<｜begin▁of▁sentence｜>### Instruction:
As the Journal Editor overseeing the publication process of an academic journal focused on network analysis, you have been presented with data from a recently conducted study on power grid networks. The data is stored in a gml file named "power.gml," containing the Power grid Graph. Your task is to utilize networkx to apply the Louvain and Walktrap algorithms for community detection on this graph. Furthermore, you are required to plot the distribution of community sizes for the detected clusterings to gain insights into the network's structure and organization.
### Response:
import networkx as nx
from cdlib import algorithms, viz, evaluation

# Read the power grid graph
G = nx.read_gml('power.gml')

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

# Detect communities using Walktrap algorithm
coms2 = algorithms.walktrap(G)

# Plot the distribution of the size (number of nodes) per community
violinplot = viz.plot_com_stat([coms, coms2], evaluation.size)
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