chore: import upstream snapshot with attribution

examples/graph_visual_with_html.py

@@ -0,0 +1,34 @@
+import pipmaster as pm
+
+if not pm.is_installed("pyvis"):
+    pm.install("pyvis")
+if not pm.is_installed("networkx"):
+    pm.install("networkx")
+
+import networkx as nx
+from pyvis.network import Network
+import random
+
+# Load the GraphML file
+G = nx.read_graphml("./dickens/graph_chunk_entity_relation.graphml")
+
+# Create a Pyvis network
+net = Network(height="100vh", notebook=True)
+
+# Convert NetworkX graph to Pyvis network
+net.from_nx(G)
+
+
+# Add colors and title to nodes
+for node in net.nodes:
+    node["color"] = "#{:06x}".format(random.randint(0, 0xFFFFFF))
+    if "description" in node:
+        node["title"] = node["description"]
+
+# Add title to edges
+for edge in net.edges:
+    if "description" in edge:
+        edge["title"] = edge["description"]
+
+# Save and display the network
+net.show("knowledge_graph.html")