<｜begin▁of▁sentence｜>### Instruction:
Ladies and gentlemen, boys and girls, step right up to the greatest show of data visualization on earth! Picture this: we have a spectacular triangle act consisting of three talented nodes - the dashing Node 1, the agile Node 2, and the fearless Node 3. They're joined by three high-flying ropes, each with its own personality - 'A', 'B', and 'C'. Now, what we want to create is no ordinary diagram, but a mesmerizing circular display of their interconnected performance.

Imagine we're under the big top, with spotlights shining on our circular stage. How do we choreograph this act using NetworkX to ensure that each edge label is displayed in our ring of harmony? Consider it a graphic ensemble, a visual feast, if you will, where the labels 'A', 'B', and 'C' are as crucial as the nodes themselves, all in a harmonious circular layout. How do we bring this vision to life with NetworkX to captivate and inform our audience?
### Response:
import matplotlib.pyplot as plt
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([(1, 2), (2, 3), (3, 1)])

# Define positions
pos = nx.circular_layout(G)

# Define edge labels
edge_labels = {(1, 2): 'A', (2, 3): 'B', (3, 1): 'C'}

# Draw the graph
nx.draw(G, pos, with_labels=True)

# Draw edge labels
nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels)

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