<｜begin▁of▁sentence｜>### Instruction:
As a guidance counselor, imagine you are tasked with helping a group of students identify their academic strengths and interests. You have access to a file called "adjnoun.gml" which contains the connections between different words. You need to use the Spectral Clustering function in the cdlib library to analyze the relationships between these words and form a maximum of 2 communities based on their connections. Once you have done this, you should provide a JSON representation of the resulting communities to help the students gain a better understanding of the relationships between the words.
### Response:
import networkx as nx
from cdlib import algorithms

# Create a graph from the adjnoun dataset
G = nx.read_gml('adjnoun.gml')

# Perform community detection using Spectral Clustering
coms = algorithms.spectral(G, kmax=2)

# Generate a JSON representation of the clustering result
coms_json = coms.to_json()
print(coms_json)
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