<｜begin▁of▁sentence｜>### Instruction:
Imagine you're tasked with planning a themed dinner where each course is inspired by the connections within a small, tight-knit community, symbolized by a trio of ingredients - let's call them Ingredient 1, Ingredient 2, and Ingredient 3. These ingredients share a unique relationship, much like the friendships within this community, and you want to visually map out how each ingredient complements the others to ensure a harmonious dining experience. To do so, you decide to create a flavor map: a graphical representation where each ingredient is a node, {1, 2, 3}, and each pairing is an edge, represented by connections {(1, 2), (1, 3), (2, 3)}. To clearly visualize these connections, you opt to illustrate this map with the edges depicted in a vibrant green, signifying growth and harmony, and with arrowheads to guide your culinary journey from one ingredient to the next. 

Your task now is to figure out how to craft this flavor map so it's not just informative but also aesthetically pleasing, using a method akin to a spring layout for the positions of the ingredients, ensuring they're placed in a natural, appealing way that reflects their interrelation. How would you go about utilizing the 'draw_networkx_edges' function from NetworkX to bring this conceptual map to life, capturing the essence of your themed dinner through the lens of a personal chef?
### Response:
import matplotlib.pyplot as plt
import networkx as nx

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

# Position the nodes using a spring layout
pos = nx.spring_layout(G)

# Draw the graph using matplotlib functions
plt.figure()
nx.draw_networkx_nodes(G, pos, node_color='lightblue')
edges = nx.draw_networkx_edges(G, pos, arrowstyle='-|>', arrowsize=20, edge_color='green')

# Display the graph
plt.show()
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