Update app.py

app.py

@@ -40,7 +40,7 @@ if sidebar_option == "Introductory Tutorial":
         ("Drawing: Degree Analysis", "This visualizes the connections (or degree) of nodes. For example, in a transportation network, hubs like airports can be highlighted because they have the highest degree, representing more connections to other nodes."),
         ("Drawing: Ego Graph", "Focuses on a single node and its immediate connections. For instance, if you want to see all direct friends of a specific person on a social network, this feature isolates that person and their relationships."),
         ("Drawing: Eigenvalues", "Eigenvalues come from the graph’s Laplacian matrix and reveal structural properties. For example, in community detection, eigenvalues can help identify clusters or measure the connectivity of a graph."),
-        ("Drawing: House With Colors", "Displays a basic "house graph," a simple structure that resembles a house. For example, you could use it for teaching graph theory basics, with color-coded nodes and edges representing different parts of the structure."),
+        ("Drawing: House With Colors", "Displays a basic house graph, a simple structure that resembles a house. For example, you could use it for teaching graph theory basics, with color-coded nodes and edges representing different parts of the structure."),
         ("Drawing: Labels and Colors", "This lets you customize the appearance of nodes and edges by adding labels or colors. For example, in a roadmap, cities (nodes) can be color-coded by region, and roads (edges) can have labels for distance."),
         ("Drawing: Multipartite Layout", "Creates multipartite graphs where nodes are divided into layers, and edges only connect nodes from different layers. For instance, in a university, one layer could represent professors and another students, with edges indicating which professor teaches which student."),
         ("Drawing: Node Colormap", "Applies color gradients to nodes based on their properties, like degree or centrality. For example, nodes in a social network can be shaded to show influence, with darker colors for highly connected individuals."),