<｜begin▁of▁sentence｜>### Instruction:
As a plant pathologist, your expertise lies in diagnosing, preventing, and managing plant health problems. In a practical scenario, consider a situation where you are using a network analysis tool to study the interaction of various pathogens with different plant species in an agricultural setting. How can you leverage the `get_label_rotation` function provided by the PlotlyEdgeDrawer in `igraph` to accurately align edge labels with their respective edges in a visual representation of the pathogen-plant interaction network? This alignment is crucial for clearly depicting the relationships between pathogens and plants, ultimately aiding in the effective management of plant health issues.
### Response:
import igraph as ig
import plotly.graph_objects as go
from igraph.drawing.plotly import PlotlyGraphDrawer

# Load graph
g = ig.Graph(edges=[(0,1), (1,2), (2,3)])

# Create a PlotlyGraphDrawer instance
drawer = PlotlyGraphDrawer(g)

# Access the PlotlyEdgeDrawer for the graph through the PlotlyGraphDrawer instance
edge_drawer = drawer.edge_drawer

# Retrieve the rotation for the label of edge 0 (from vertex 0 to 1)
label_rotation = edge_drawer.get_label_rotation(edge_index=0)

# Now let's create the Plotly visualization
fig = go.Figure()
for edge in g.es:
    edge_label = g.vs[edge.source]['name'] + '-' + g.vs[edge.target]['name']
    fig.add_annotation(x=(g.vs[edge.source]['x'] + g.vs[edge.target]['x']) / 2,
                      y=(g.vs[edge.source]['y'] + g.vs[edge.target]['y']) / 2,
                      text=edge_label,
                      showarrow=False,
                      textangle=label_rotation)

# Display the figure
fig.show()
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