Update app.py

app.py

@@ -20,8 +20,7 @@ sidebar_option = st.sidebar.radio("Select an option",
                                   "Drawing: Multipartite Layout", "Drawing: Node Colormap",
                                   "Drawing: Rainbow Coloring", "Drawing: Random Geometric Graph","Drawing: Self-loops",
                                   "Drawing: Simple Path", "Drawing: Spectral Embedding", "Drawing: Traveling Salesman Problem",
-                                  "Drawing: Weighted Graph", "3D Drawing: Animations of 3D Rotation", "3D Drawing: Basic Matplotlib",
-                                  "Graphviz Layout: Decomposition"])
+                                  "Drawing: Weighted Graph", "3D Drawing: Animations of 3D Rotation", "3D Drawing: Basic Matplotlib"])
 
 # Helper function to draw and display graph
 def draw_graph(G, pos=None, title="Graph Visualization"):
@@ -29,100 +28,6 @@ def draw_graph(G, pos=None, title="Graph Visualization"):
     nx.draw(G, pos=pos, with_labels=True, node_color='lightblue', node_size=500, font_size=10, font_weight='bold')
     st.pyplot(plt)
 
-# Default example code
-def default_example_decomposition():
-    # Create a Directed Graph (Bayesian Network)
-    B = nx.DiGraph()
-    B.add_nodes_from(["A", "B", "C", "D", "E", "F"])
-    B.add_edges_from(
-        [("A", "B"), ("A", "C"), ("B", "D"), ("B", "F"), ("C", "E"), ("E", "F")]
-    )
-
-    options = {"with_labels": True, "node_color": "white", "edgecolors": "blue"}
-
-    fig = plt.figure(figsize=(6, 9))
-    axgrid = fig.add_gridspec(3, 2)
-
-    ax1 = fig.add_subplot(axgrid[0, 0])
-    ax1.set_title("Bayesian Network")
-    pos = nx.nx_pydot.pydot_layout(B, prog="neato")
-    nx.draw_networkx(B, pos=pos, **options)
-
-    mg = nx.moral_graph(B)
-    ax2 = fig.add_subplot(axgrid[0, 1], sharex=ax1, sharey=ax1)
-    ax2.set_title("Moralized Graph")
-    nx.draw_networkx(mg, pos=pos, **options)
-
-    jt = nx.junction_tree(B)
-    ax3 = fig.add_subplot(axgrid[1:, :])
-    ax3.set_title("Junction Tree")
-    ax3.margins(0.15, 0.25)
-    nsize = [2000 * len(n) for n in list(jt.nodes())]
-    pos = nx.nx_pydot.pydot_layout(jt, prog="neato")
-    nx.draw_networkx(jt, pos=pos, node_size=nsize, **options)
-
-    plt.tight_layout()
-    st.pyplot(fig)
-
-# Create your own graph option
-def create_own_graph_decomposition():
-    # Input fields to customize the graph
-    nodes = st.text_area("Enter nodes (comma separated)", "A, B, C, D, E, F")
-    edges = st.text_area("Enter edges (comma separated)", "A,B;A,C;B,D;B,F;C,E;E,F")
-    
-    # Add a button to generate the graph
-    generate_button = st.button("Generate Graph")
-
-    if generate_button:
-        # Generate graph and layout
-        G = nx.DiGraph()
-        node_list = nodes.split(",")
-        edge_list = edges.split(";")
-        G.add_nodes_from(node_list)
-        for edge in edge_list:
-            G.add_edge(*edge.split(","))
-        
-        options = {"with_labels": True, "node_color": "white", "edgecolors": "blue"}
-        fig = plt.figure(figsize=(6, 9))
-        axgrid = fig.add_gridspec(3, 2)
-
-        ax1 = fig.add_subplot(axgrid[0, 0])
-        ax1.set_title("Bayesian Network")
-        pos = nx.nx_pydot.pydot_layout(G, prog="neato")
-        nx.draw_networkx(G, pos=pos, **options)
-
-        mg = nx.moral_graph(G)
-        ax2 = fig.add_subplot(axgrid[0, 1], sharex=ax1, sharey=ax1)
-        ax2.set_title("Moralized Graph")
-        nx.draw_networkx(mg, pos=pos, **options)
-
-        jt = nx.junction_tree(G)
-        ax3 = fig.add_subplot(axgrid[1:, :])
-        ax3.set_title("Junction Tree")
-        ax3.margins(0.15, 0.25)
-        nsize = [2000 * len(n) for n in list(jt.nodes())]
-        pos = nx.nx_pydot.pydot_layout(jt, prog="neato")
-        nx.draw_networkx(jt, pos=pos, node_size=nsize, **options)
-
-        plt.tight_layout()
-        st.pyplot(fig)
-
-if sidebar_option == "Graphviz Layout: Decomposition":
-    st.title("Graphviz Layout: Decomposition")
-
-    # Provide options for Default Example or Custom Graph
-    graph_mode = st.radio(
-        "Choose a Mode:",
-        ("Default Example", "Create Your Own"),
-        help="Default example shows a decomposition of a Bayesian network, or you can create your own custom graph."
-    )
-
-    # Display the chosen option
-    if graph_mode == "Default Example":
-        default_example_decomposition()
-    elif graph_mode == "Create Your Own":
-        create_own_graph_decomposition()
-
 if sidebar_option == "3D Drawing: Animations of 3D Rotation":
     st.title("3D Drawing: Animations of 3D Rotation")