<｜begin▁of▁sentence｜>### Instruction:
Imagine you've been commissioned to craft a visual representation of a social network for an upcoming publication. The source material has been provided as a GML file, aptly named 'path_to_gml_file.gml', which delineates the intricate web of connections and individuals that make up this network. In order to begin sketching out this complex tableau, you'll need to transpose the data from the GML file onto your canvas. To achieve this, you must translate the file into a NetworkX graph structure. Could you illustrate to me the method by which you would import this GML file such that the individual identities and their connections are accurately reflected, making sure to adapt the node identifiers into numerical form to facilitate the clarity of the visualization? Remember, the essence of the scene lies in the precision of capturing each node and edge.
### Response:
import networkx as nx

# Read a GML file and create a NetworkX graph
gml_path = 'path_to_gml_file.gml'
try:
    G = nx.read_gml(gml_path, destringizer=int)
except Exception as e:
    print('Error:', e)
else:
    print('Graph has been read from GML file:', gml_path)
    print('Nodes:', G.nodes())
    print('Edges:', G.edges())
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