Update app.py

app.py

@@ -153,57 +153,6 @@ def display_cluster_layout():
         plt.tight_layout()
         st.pyplot(plt)
 
-    elif option == "Create your own":
-        st.write("For custom graph creation, you can specify the number of nodes and edges.")
-        # Here you can add functionality for custom graph creation if required
-
-        # Input for the number of nodes
-        num_nodes = st.number_input("Number of nodes:", min_value=2, max_value=100, value=5)
-        
-        # Input for edges: users can input edges manually
-        edge_input = st.text_area("Enter edges (format: u,v):", value="0,1\n1,2\n2,3")
-        
-        # Button to generate the graph
-        if st.button("Generate Graph"):
-            edges = []
-            if edge_input:
-                # Parse the input string to create the edges
-                edge_list = edge_input.split("\n")
-                for edge in edge_list:
-                    try:
-                        u, v = map(int, edge.split(","))
-                        edges.append((u, v))
-                    except ValueError:
-                        st.error("Invalid edge format. Please use the format 'u,v'.")
-            
-            # Create a graph and add the edges
-            G_custom = nx.Graph()
-            G_custom.add_edges_from(edges)
-
-            if len(G_custom.nodes) == 0:
-                st.error("No nodes found. Please ensure you have specified edges correctly.")
-            else:
-                # Compute clusters (communities) and layout
-                communities = list(nx.community.greedy_modularity_communities(G_custom))
-
-                # Compute positions for the node clusters as if they were themselves nodes in a supergraph using a larger scale factor
-                supergraph = nx.cycle_graph(len(communities))
-                superpos = nx.spring_layout(G_custom, scale=50, seed=429)
-
-                # Use the "supernode" positions as the center of each node cluster
-                centers = list(superpos.values())
-                pos = {}
-                for center, comm in zip(centers, communities):
-                    pos.update(nx.spring_layout(nx.subgraph(G_custom, comm), center=center, seed=1430))
-
-                # Nodes colored by cluster
-                for nodes, clr in zip(communities, ("tab:blue", "tab:orange", "tab:green")):
-                    nx.draw_networkx_nodes(G_custom, pos=pos, nodelist=nodes, node_color=clr, node_size=100)
-                nx.draw_networkx_edges(G_custom, pos=pos)
-
-                plt.tight_layout()
-                st.pyplot(plt)
-
 # Display Basic: Properties if selected
 if sidebar_option == "Basic: Properties":
     st.title("Basic: Properties")