<｜begin▁of▁sentence｜>### Instruction:
Given the Power Grid graph which you can read from a GML file named power.gml, can you use the LPAM function with amplified commute distance in cdlib to perform community detection with 2 clusters and a merging threshold of 0.4? Then convert the community detection result into JSON format.
### Response:
import networkx as nx
from cdlib import algorithms

# Load the power grid graph
G = nx.read_gml('power.gml')

# Apply the LPAM community detection algorithm
# with k clusters and the amplified commute distance
coms = algorithms.lpam(G, k=2, threshold=0.4, distance='amp')

# Convert the output to JSON
lpam_json = coms.to_json()
print(lpam_json)
<|EOT|>
