<｜begin▁of▁sentence｜>### Instruction:
Imagine you're sifting through the digital archives to organize a forthcoming manuscript on the interconnections within a certain intellectual community, and you stumble upon a GML file called 'path_to_gml_file.gml'. This file, akin to a meticulous index, encapsulates the intricate web of associations between prominent figures in your manuscript, each designated by an 'id'. To illustrate these connections effectively for your editorial team, how would you transcribe the graph's architecture from the 'path_to_gml_file.gml' into a NetworkX graph schema on your system, and thereafter, how could you delineate the roster of nodes and the lattice of edges that constitute this network?
### Response:
import networkx as nx

# Read a graph from a GML file
G = nx.read_gml('path_to_gml_file.gml', label='id')

# Print the nodes in the graph
print(G.nodes())

# Print the edges in the graph
print(G.edges())
<|EOT|>
