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Create app.py
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app.py
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import streamlit as st
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import networkx as nx
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from pyvis.network import Network
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import json
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import os
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# Streamlit app layout
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st.title("Interactive Graph Visualization")
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st.write("Upload a JSON file containing nodes and edges to display the graph.")
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# File upload
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uploaded_file = st.file_uploader("Upload JSON file", type=["json"])
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if uploaded_file is not None:
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try:
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# Load JSON data
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graph_data = json.load(uploaded_file)
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# Function to create a NetworkX graph from data
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def create_graph(data):
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G = nx.DiGraph()
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for node in data.get("nodes", []):
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G.add_node(node["id"], label=node.get("label", node["id"]))
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for edge in data.get("edges", []):
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G.add_edge(edge["source"], edge["target"], label=edge.get("label", ""))
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return G
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# Generate the graph
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graph = create_graph(graph_data)
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# Function to create a pyvis network from NetworkX graph
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def create_pyvis_graph(G):
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net = Network(height="600px", width="100%", directed=True)
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for node, data in G.nodes(data=True):
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net.add_node(node, label=data.get("label", node))
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for source, target, data in G.edges(data=True):
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net.add_edge(source, target, title=data.get("label", ""))
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return net
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# Create the Pyvis graph
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pyvis_graph = create_pyvis_graph(graph)
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# Save and display the graph
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output_file = "graph.html"
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pyvis_graph.show(output_file)
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# Display the graph in Streamlit
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st.components.v1.html(open(output_file, "r").read(), height=600, width=800)
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# Clean up the temporary file
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if os.path.exists(output_file):
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os.remove(output_file)
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except Exception as e:
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st.error(f"Error processing the file: {e}")
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else:
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st.info("Please upload a JSON file to display the graph.")
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