<｜begin▁of▁sentence｜>### Instruction:
Given a directed graph with edge set [(0, 1), (1, 2), (2, 0), (3, 4), (4, 5), (5, 3), (6, 7)], how can one generate the sorted list of strongly connected components using NetworkX?
### Response:
import networkx as nx

# Create a directed graph
G = nx.DiGraph()

# Add some edges
G.add_edges_from([(0, 1), (1, 2), (2, 0), (3, 4), (4, 5), (5, 3), (6, 7)])

# Generate the strongly connected components
components = sorted(nx.strongly_connected_components(G), key=len, reverse=True)

# Print the sorted components
for comp in components:
    print(comp)

# If you want the largest component
largest_comp = max(nx.strongly_connected_components(G), key=len)
print("Largest component:", largest_comp)
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