<｜begin▁of▁sentence｜>### Instruction:
Given the High-energy theory collaborations graph that can be read from a GML file named hep-th.gml, can you create a plot that shows the distribution of community sizes for community structures discovered by the Louvain and Walktrap algorithms?
### Response:
from cdlib import algorithms, viz, evaluation
import networkx as nx

# Creating a sample graph from high-energy theory collaborations
G = nx.read_gml('hep-th.gml')

# Applying Louvain method for community detection
communities_louvain = algorithms.louvain(G)

# Applying Walktrap method for community detection
communities_walktrap = algorithms.walktrap(G)

# Plotting the distribution of community sizes
violin_plot = viz.plot_com_stat([communities_louvain, communities_walktrap], evaluation.size)
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