Delete appy.py

appy.py

@@ -1,44 +0,0 @@
-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)