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app.py

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+"""
+Gradio demo for Structural Isomorphism Search Engine.
+
+Usage:
+    pip install gradio
+    python demo/app.py
+"""
+
+import sys
+from pathlib import Path
+
+# Add project root to path
+sys.path.insert(0, str(Path(__file__).parent.parent))
+
+import gradio as gr
+from structural_isomorphism import StructuralSearch
+
+# Global search engine instance (loaded once)
+search = None
+
+
+def initialize():
+    """Load model and knowledge base."""
+    global search
+    if search is None:
+        search = StructuralSearch()
+    return search
+
+
+def do_search(query: str, top_k: int) -> str:
+    """Run structural search and format results as HTML."""
+    engine = initialize()
+    results = engine.query(query, top_k=int(top_k))
+
+    if not results:
+        return "<p style='color: #888;'>No results found. Check that knowledge base files exist in data/.</p>"
+
+    html_parts = []
+    for i, r in enumerate(results, 1):
+        score_color = "#22c55e" if r["score"] > 0.7 else "#eab308" if r["score"] > 0.4 else "#ef4444"
+        html_parts.append(f"""
+        <div style="border: 1px solid #e5e7eb; border-radius: 8px; padding: 16px; margin-bottom: 12px;">
+            <div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 8px;">
+                <div>
+                    <span style="font-weight: 700; font-size: 1.1em;">#{i} {r['name']}</span>
+                    <span style="background: #f3f4f6; padding: 2px 8px; border-radius: 4px; margin-left: 8px; font-size: 0.9em;">{r['domain']}</span>
+                    <span style="background: #f3f4f6; padding: 2px 8px; border-radius: 4px; margin-left: 4px; font-size: 0.85em; color: #6b7280;">Type {r['type_id']}</span>
+                </div>
+                <span style="color: {score_color}; font-weight: 700; font-size: 1.1em;">{r['score']:.3f}</span>
+            </div>
+            <p style="color: #374151; margin: 0; line-height: 1.6;">{r['description']}</p>
+        </div>
+        """)
+
+    return "\n".join(html_parts)
+
+
+EXAMPLES = [
+    ["两个市场参与者互相等待对方先行动，导致谁也不动"],
+    ["一个系统在受到小扰动后能自动回到原来的状态"],
+    ["产品刚上市时增长缓慢，然后突然爆发式增长，最后趋于饱和"],
+    ["每个人都做出对自己最优的选择，但合起来的结果对所有人都不好"],
+    ["温度只需要微小变化，整个系统就突然从一种状态变成另一种状态"],
+]
+
+DESCRIPTION = """
+# Structural Isomorphism Search Engine
+
+Discover hidden cross-domain structural connections. Describe any phenomenon in natural language,
+and the engine will find structurally similar phenomena from completely different domains.
+
+The model recognizes **structural patterns** (feedback loops, phase transitions, cascade effects, etc.)
+rather than surface-level keyword matches.
+"""
+
+with gr.Blocks(
+    title="Structural Isomorphism Search",
+    theme=gr.themes.Soft(),
+) as demo:
+    gr.Markdown(DESCRIPTION)
+
+    with gr.Row():
+        with gr.Column(scale=3):
+            query_input = gr.Textbox(
+                label="Describe a phenomenon",
+                placeholder="e.g., A thermostat detects temperature below setpoint, turns on heating...",
+                lines=3,
+            )
+        with gr.Column(scale=1):
+            top_k_slider = gr.Slider(
+                minimum=1, maximum=20, value=10, step=1,
+                label="Number of results",
+            )
+            search_btn = gr.Button("Search", variant="primary", size="lg")
+
+    gr.Examples(
+        examples=EXAMPLES,
+        inputs=query_input,
+    )
+
+    results_output = gr.HTML(label="Results")
+
+    search_btn.click(
+        fn=do_search,
+        inputs=[query_input, top_k_slider],
+        outputs=results_output,
+    )
+    query_input.submit(
+        fn=do_search,
+        inputs=[query_input, top_k_slider],
+        outputs=results_output,
+    )
+
+
+if __name__ == "__main__":
+    demo.launch(share=False)