<｜begin▁of▁sentence｜>### Instruction:
Given a bipartite graph with the edges {('A', 1), ('B', 1), ('C', 2), ('D', 3), ('A', 4), ('D', 4)}, how do you find a set of edges that constitutes the minimum edge cover of the graph using NetworkX?
### Response:
import networkx as nx
from networkx.algorithms import min_edge_cover

# Create an undirected bipartite graph
G = nx.Graph()
G.add_nodes_from(['A', 'B', 'C', 'D'], bipartite=0)
G.add_nodes_from([1, 2, 3, 4], bipartite=1)
G.add_edges_from([('A', 1), ('B', 1), ('C', 2), ('D', 3), ('A', 4), ('D', 4)])

# Compute the minimum edge cover
edge_cover = min_edge_cover(G)

print("Minimum edge cover:", edge_cover)
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