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Create app.py
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app.py
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import gradio as gr
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import networkx as nx
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import matplotlib.pyplot as plt
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from io import BytesIO
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# Function to build and visualize a knowledge graph
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def visualize_knowledge_graph(entities, relationships):
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G = nx.DiGraph()
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# Add entities as nodes
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for entity in entities.split(","):
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G.add_node(entity.strip())
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# Add relationships as edges
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for relationship in relationships.split(";"):
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try:
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source, target, label = map(str.strip, relationship.split(","))
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G.add_edge(source, target, label=label)
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except ValueError:
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return "Invalid relationship format. Use 'entity1,entity2,label' format for each relationship."
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# Plot the graph
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plt.figure(figsize=(10, 6))
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pos = nx.spring_layout(G)
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nx.draw(G, pos, with_labels=True, node_size=3000, node_color="lightblue", font_size=10, font_weight="bold")
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edge_labels = nx.get_edge_attributes(G, 'label')
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nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels, font_color="red")
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buf = BytesIO()
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plt.savefig(buf, format="png")
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plt.close()
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buf.seek(0)
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return buf
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# Define the Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("## Knowledge Graph Builder")
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gr.Markdown("Enter entities (comma-separated) and relationships (in the format `entity1,entity2,label` separated by semicolons).")
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entities_input = gr.Textbox(label="Entities (Comma-separated)", placeholder="e.g., SCIEKore, AI, Education")
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relationships_input = gr.Textbox(label="Relationships (Semicolon-separated)", placeholder="e.g., SCIEKore,AI,uses; SCIEKore,Education,offers")
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output_image = gr.Image(label="Knowledge Graph")
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submit_button = gr.Button("Build Graph")
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submit_button.click(
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visualize_knowledge_graph,
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inputs=[entities_input, relationships_input],
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outputs=output_image
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)
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# Launch the Gradio app
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if __name__ == "__main__":
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demo.launch()
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