Create app.py

app.py

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+import gradio as gr
+from datasets import load_dataset
+from rapidfuzz import process, fuzz
+
+# 1) 데이터셋 스트리밍 로드(메타만 메모리에 보관)
+ds = load_dataset("nyuuzyou/clker-svg", split="train", streaming=True)
+
+records = []
+for ex in ds:
+    records.append(
+        {
+            "id": ex["id"],
+            "title": ex["title"] or "",
+            "tags": " ".join(ex["tags"] or []),
+            "svg": ex["svg_content"],
+            "url": ex["download_url"],
+        }
+    )
+
+# 2) 검색 함수
+def search_svg(query, top_k):
+    if not query:
+        return "⚠️ 검색어를 입력하세요.", None
+
+    # title+tags 스트링 하나로 결합
+    choices = {i: r["title"] + " " + r["tags"] for i, r in enumerate(records)}
+    matched = process.extract(
+        query,
+        choices,
+        scorer=fuzz.WRatio,
+        limit=top_k,
+    )
+
+    # Rapidfuzz 결과 → SVG HTML 변환
+    html_snippets = []
+    for idx, score, _ in matched:
+        r = records[idx]
+        svg_html = (
+            f"<div style='border:1px solid #ddd;margin:8px;padding:8px'>"
+            f"<strong>{r['title']}</strong> "
+            f"(score {score})<br>"
+            f"<em>{r['tags']}</em><br>"
+            f"<a href='{r['url']}' target='_blank'>원본&nbsp;다운로드</a><br>"
+            f"{r['svg']}"  # raw SVG → 브라우저가 바로 렌더
+            f"</div>"
+        )
+        html_snippets.append(svg_html)
+
+    return "", "\n".join(html_snippets)
+
+
+with gr.Blocks(title="Clker SVG 검색") as demo:
+    gr.Markdown("## 🔍 Clker.com SVG Public-Domain Clipart 검색")
+    with gr.Row():
+        query = gr.Textbox(label="검색어", placeholder="예: cat, tree, …")
+        top_k = gr.Slider(1, 50, value=10, step=1, label="결과 개수")
+    warn = gr.Markdown()
+    out = gr.HTML()
+
+    query.submit(
+        fn=search_svg,
+        inputs=[query, top_k],
+        outputs=[warn, out],
+    )
+
+if __name__ == "__main__":
+    demo.launch()