Update app.py
Browse files
app.py
CHANGED
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@@ -74,17 +74,24 @@ def display_weighted_graph():
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nodes = st.text_input("Enter nodes (comma-separated):", "a,b,c,d,e,f").split(',')
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nodes = [node.strip() for node in nodes]
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#
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generate_button = st.button("Generate Graph")
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if generate_button:
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G_custom = nx.Graph()
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#
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for
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weight = st.number_input(f"Weight between {nodes[i]} and {nodes[j]}:", min_value=0.0, value=1.0)
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G_custom.add_edge(nodes[i], nodes[j], weight=weight)
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# Create layout for visualization
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pos = nx.spring_layout(G_custom, seed=7)
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nodes = st.text_input("Enter nodes (comma-separated):", "a,b,c,d,e,f").split(',')
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nodes = [node.strip() for node in nodes]
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# Create a placeholder for weight inputs
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weight_inputs = {}
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# Collecting weight inputs for each edge
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for i in range(len(nodes)):
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for j in range(i + 1, len(nodes)):
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weight = st.number_input(f"Weight between {nodes[i]} and {nodes[j]}:", min_value=0.0, value=1.0, key=f"weight_{nodes[i]}_{nodes[j]}")
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weight_inputs[(nodes[i], nodes[j])] = weight
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# Only show "Generate Graph" after weight inputs are made
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generate_button = st.button("Generate Graph")
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if generate_button:
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G_custom = nx.Graph()
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# Add edges to the graph based on the input weights
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for (node1, node2), weight in weight_inputs.items():
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G_custom.add_edge(node1, node2, weight=weight)
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# Create layout for visualization
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pos = nx.spring_layout(G_custom, seed=7)
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