appy.py

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)