<｜begin▁of▁sentence｜>### Instruction:
As a User Experience Designer, imagine you're tasked with enhancing the usability of a data visualization tool used by project managers. You're asked to integrate a feature that allows them to visually represent dependencies between tasks in a project using directed edges. One user query you've received is about incorporating directed edges from task A to task B in the visualization. To achieve this, you need to utilize Plotly's `draw_directed_edge` function within the igraph library.
### Response:
from igraph import Graph, Plot
from igraph.drawing.plotly import PlotlyPlot

# Create a graph
g = Graph([(0, 1), (1, 2)], directed=True)
g.vs['label'] = ['A', 'B', 'C']

# Create Plotly plot object
plot = PlotlyPlot(g, vertex_label_size=18)

# Draw directed edge from vertex A to B
plot.redraw()
edge_drawer = plot.edge_drawer()
src_vertex = g.vs[0]
dest_vertex = g.vs[1]
edge = g.es[0]
edge_drawer.draw_directed_edge(edge, src_vertex, dest_vertex)

# Show the plot
plot.show()
<|EOT|>
