When running the example: AttributeError: module 'community' has no attribute 'best_partition' #4

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AttributeError                            Traceback (most recent call last)
Cell In[19], line 23
     17 node_embeddings = load_embeddings(f'{data_dir}/{embedding_file}')
     19 visualize_embeddings_2d_pretty_and_sample(node_embeddings,
     20                                             n_clusters=10, n_samples=10,
     21                                             data_dir=data_dir_output, alpha=.7)
---> 23 describe_communities_with_plots_complex(G, N=6, data_dir=data_dir_output)

File ~/anaconda3/envs/repox-llm-new/lib/python3.11/site-packages/GraphReasoning/graph_analysis.py:470, in describe_communities_with_plots_complex(G, N, N_nodes, data_dir)
    459 """
    460 Detect and describe the top N communities in graph G based on key nodes, with integrated plots.
    461 Adds separate plots for average node degree, average clustering coefficient, and betweenness centrality over all communities.
   (...)
    467 - data_dir (str): Directory to save the plots.
    468 """
    469 # Detect communities using the Louvain method
--> 470 partition = community_louvain.best_partition(G)
    472 # Invert the partition to get nodes per community
    473 communities = {}

AttributeError: module 'community' has no attribute 'best_partition'