<｜begin▁of▁sentence｜>### Instruction:
As an Energy Engineer, you're tasked with optimizing energy systems to enhance efficiency and sustainability. Imagine you're analyzing the energy flow within a complex network of interconnected components, each representing different energy sources and consumption points. Now, suppose you have a graph representation of this network, with nodes depicting various components and edges representing energy flow paths. To visually inspect these connections, you might utilize the PlotlyEdgeDrawer's draw_undirected_edge method, which allows you to create interactive plots showcasing the interconnections between different energy points.
### Response:
import igraph as ig
import plotly.graph_objs as go
from igraph.drawing import PlotlyPlot

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

# Set up Plotly plot for the igraph
plot = PlotlyPlot(g, vertex_label=range(g.vcount()))
plot.redraw()

# Draw the edges
for e in g.es:
    edge_drawer = plot.edge_drawer_factory.get_edge_drawer(e)
    edge_drawer.draw_undirected_edge(e, g.vs[e.source], g.vs[e.target])

# Display the plot
fig = go.Figure(data=plot.get_drawn_objects())
fig.show()
<|EOT|>
