<｜begin▁of▁sentence｜>### Instruction:
As a firefighter, I understand that rapid response to emergencies is crucial for public safety. In the context of preventing fire incidents, I need to ensure that our team has a thorough understanding of building layouts and safe evacuation routes.

Imagine we are tasked with inspecting a complex building. There are multiple interconnected areas that need to be carefully assessed for potential fire hazards. We have access to a digital representation of the building layout, which we can analyze using networkx, a powerful Python library for creating, analyzing, and visualizing complex networks, including graphs.

Given this scenario, we want to use networkx and PlotlyEdgeDrawer to map out the connectivity of different sections of the building. By customizing the visual styles of the edges, we can clearly represent the relationships between the areas, allowing us to identify key pathways and potential bottlenecks in the event of an emergency. This interactive display in Plotly will greatly assist us in visualizing and comprehending the building's network structure, enhancing our preparedness for emergency response.
### Response:
import igraph as ig
import igraph.drawing
from igraph.drawing import PlotlyPlot, PlotlyEdgeDrawer

# Create an example undirected graph
g = ig.Graph(edges=[(0, 1), (1, 2), (2, 0)])

# Define vertex and edge style
visual_style = {}
visual_style['vertex_size'] = 20
visual_style['vertex_color'] = 'blue'
visual_style['edge_color'] = 'green'

# Set the layout of the graph
layout = g.layout('kk')

# Create a PlotlyPlot object
plot = PlotlyPlot(g, bbox=(600, 600), layout=layout)

# Override the default edge drawer with PlotlyEdgeDrawer edge drawer
plot.edge_drawer = PlotlyEdgeDrawer(plot)

for edge in g.es:
    src_vertex = g.vs[edge.source]
    dest_vertex = g.vs[edge.target]
    plot.edge_drawer.draw_undirected_edge(edge, src_vertex, dest_vertex)

# Save and show the plot
plot.show()
<|EOT|>
