Create appy.py

appy.py

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+import streamlit as st
+from py2neo import Graph, Node, Relationship
+from scripts.vis import draw
+
+# Initialize a Neo4j graph instance
+graph = Graph()
+graph.delete_all()
+
+# Create nodes and relationships
+nicole = Node("Person", name="Nicole", age=24)
+drew = Node("Person", name="Drew", age=20)
+mtdew = Node("Drink", name="Mountain Dew", calories=9000)
+cokezero = Node("Drink", name="Coke Zero", calories=0)
+coke = Node("Manufacturer", name="Coca Cola")
+pepsi = Node("Manufacturer", name="Pepsi")
+
+graph.create(nicole | drew | mtdew | cokezero | coke | pepsi)
+graph.create(Relationship(nicole, "LIKES", cokezero))
+graph.create(Relationship(nicole, "LIKES", mtdew))
+graph.create(Relationship(drew, "LIKES", mtdew))
+graph.create(Relationship(coke, "MAKES", cokezero))
+graph.create(Relationship(pepsi, "MAKES", mtdew))
+
+# Streamlit interface
+st.title("Py2neo Application with Streamlit")
+
+# Display graph visualization using Py2neo's draw function
+st.subheader("Graph Visualization")
+options = {"Person": "name", "Drink": "name", "Manufacturer": "name"}
+draw(graph, options)
+
+# Display node and relationship information
+st.subheader("Node and Relationship Information")
+st.write("Nodes:")
+for node in [nicole, drew, mtdew, cokezero, coke, pepsi]:
+    st.write(f"{node.labels}: {node}")
+
+st.write("Relationships:")
+for relationship in graph.match(rel_type="LIKES"):
+    st.write(relationship)
+
+st.write("Manufacturers:")
+for manufacturer in graph.match(rel_type="MAKES"):
+    st.write(manufacturer)