<｜begin▁of▁sentence｜>### Instruction:
As a medical transcriptionist working in a busy hospital, you're tasked with accurately transcribing medical reports dictated by physicians and surgeons. Today, you're presented with a unique challenge involving organizing and presenting data related to patient outcomes in a graphical format. Specifically, you need to retrieve and display a list of labeled edges from a graph using the GraphArtist tool from the graph_tool library. This entails extracting relevant information from the graph's edges, such as diagnostic findings, treatments, or procedures, and ensuring that these details are clearly represented in the output generated by GraphArtist. Your goal is to maintain the integrity and confidentiality of patient records while effectively visualizing the interconnected data points for medical professionals to reference during patient care and analysis.
### Response:
from graph_tool.all import Graph
from graph_tool.draw import GraphArtist

# Create a graph using Graph-tool
graph = Graph()

# Add vertices and edges to the graph
e1 = graph.add_edge(graph.add_vertex(), graph.add_vertex())
e2 = graph.add_edge(graph.add_vertex(), graph.add_vertex())

# Set edge labels on the graph
graph.edge_properties['label'] = graph.new_edge_property('string')
graph.edge_properties['label'][e1] = 'Edge 1'
graph.edge_properties['label'][e2] = 'Edge 2'

# Initiate a GraphArtist instance with the created graph
artist = GraphArtist(graph)

# Get the edge labels using the get_edge_labels method
edge_labels = artist.get_edge_labels()

# Print the edge labels
def print_edge_labels(edge_labels):
    for label_artist in edge_labels:
        print(label_artist.get_text())

print_edge_labels(edge_labels)
<|EOT|>
