<｜begin▁of▁sentence｜>### Instruction:
Given the High-energy theory collaborations Graph which can be read from a gml file named hep-th.gml, can you use the LPANNI (Label Propagation Algorithm with Neighbor Node Influence) in cdlib to perform community detection with a threshold of 0.0001? And can you generate and print a JSON representation of the detected communities?
### Response:
import networkx as nx
from cdlib import algorithms

# Create a graph from the high-energy theory collaborations
G = nx.read_gml('hep-th.gml')

# Apply LPANNI community detection algorithm to the graph
communities = algorithms.lpanni(G, threshold=0.0001)

# Generate a JSON representation of the detected communities
communities_json = communities.to_json()

print(communities_json)
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