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Update app.py
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app.py
CHANGED
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import gradio as gr
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import
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#
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{"蛛絲馬跡": 1, "嫌疑犯": "5冰淇淋師傅", "直接證據": "SAS", "間接證據": "RHS SSS", "嫌疑犯圖片": "https://huggingface.co/spaces/Lashtw/Judge_system/resolve/main/5%E5%86%B0%E6%B7%87%E6%B7%8B%E5%B8%AB%E5%82%85.png"},
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{"蛛絲馬跡": 2, "嫌疑犯": "7候選人", "直接證據": "SSS", "間接證據": "SAS ASA AAS", "嫌疑犯圖片": "https://huggingface.co/spaces/Lashtw/Judge_system/resolve/main/7%E5%80%99%E9%81%B8%E4%BA%BA.png"},
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{"蛛絲馬跡": 3, "嫌疑犯": "8列車長", "直接證據": "SAS", "間接證據": "無", "嫌疑犯圖片": "https://huggingface.co/spaces/Lashtw/Judge_system/resolve/main/8%E5%88%97%E8%BB%8A%E9%95%B7.png"},
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@@ -33,98 +63,155 @@ data = [
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{"蛛絲馬跡": 28, "嫌疑犯": "26保全", "直接證據": "ASA", "間接證據": "AAS", "嫌疑犯圖片": "https://huggingface.co/spaces/Lashtw/Judge_system/resolve/main/26%E4%BF%9D%E5%85%A8.png"}
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]
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indirect_evidence_store = ""
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def query_data(clue_number):
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global indirect_evidence_store
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try:
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clue_number = int(clue_number)
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image_url = f"{row['嫌疑犯圖片']}?{int(time.time())}" if row['嫌疑犯圖片'] else None
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gr.update(visible=True),
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gr.update(value="", visible=False),
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image_url
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)
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else:
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return (
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"未找到相關資料,請檢查蛛絲馬跡號碼是否正確。",
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gr.update(visible=False),
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"請輸入有效的數字。",
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gr.update(visible=False),
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gr.update(value="", visible=False),
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None
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def
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global indirect_evidence_store
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return gr.update(value=indirect_evidence_store, visible=True)
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def
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global indirect_evidence_store
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indirect_evidence_store = ""
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return
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"",
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gr.update(visible=False),
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gr.update(value="", visible=False),
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gr.update(value="", visible=True),
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None
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gr.
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with gr.Row():
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with gr.Column(scale=1):
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query_data,
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inputs=
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outputs=[
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)
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outputs=
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outputs=[
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max-height: 250px !important;
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border: 2px solid #e0e0e0;
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border-radius: 8px;
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}
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"""
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demo.launch()
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import gradio as gr
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import base64
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import requests
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import time
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from io import BytesIO
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from PIL import Image
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# 圖片處理函數 (包含壓縮和Base64編碼)
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def process_image(url):
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try:
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response = requests.get(url, timeout=10)
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response.raise_for_status()
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img = Image.open(BytesIO(response.content))
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# 保持透明度處理
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if img.mode in ('RGBA', 'LA'):
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img = img.convert('RGBA')
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else:
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img = img.convert('RGB')
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# 調整大小(保持比例縮放到最大300px)
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img.thumbnail((300, 300))
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# 轉換為Base64
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buffered = BytesIO()
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img.save(buffered, format="PNG", optimize=True, quality=85)
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return f"data:image/png;base64,{base64.b64encode(buffered.getvalue()).decode()}"
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except Exception as e:
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print(f"圖片處理失敗: {str(e)}")
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return "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII="
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# 完整28個嫌疑犯數據(原始URL格式)
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raw_data = [
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{"蛛絲馬跡": 1, "嫌疑犯": "5冰淇淋師傅", "直接證據": "SAS", "間接證據": "RHS SSS", "嫌疑犯圖片": "https://huggingface.co/spaces/Lashtw/Judge_system/resolve/main/5%E5%86%B0%E6%B7%87%E6%B7%8B%E5%B8%AB%E5%82%85.png"},
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{"蛛絲馬跡": 2, "嫌疑犯": "7候選人", "直接證據": "SSS", "間接證據": "SAS ASA AAS", "嫌疑犯圖片": "https://huggingface.co/spaces/Lashtw/Judge_system/resolve/main/7%E5%80%99%E9%81%B8%E4%BA%BA.png"},
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{"蛛絲馬跡": 3, "嫌疑犯": "8列車長", "直接證據": "SAS", "間接證據": "無", "嫌疑犯圖片": "https://huggingface.co/spaces/Lashtw/Judge_system/resolve/main/8%E5%88%97%E8%BB%8A%E9%95%B7.png"},
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{"蛛絲馬跡": 28, "嫌疑犯": "26保全", "直接證據": "ASA", "間接證據": "AAS", "嫌疑犯圖片": "https://huggingface.co/spaces/Lashtw/Judge_system/resolve/main/26%E4%BF%9D%E5%85%A8.png"}
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]
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# 預處理所有圖片(部署時自動執行)
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print("⏳ 正在預處理28張嫌疑人圖片...")
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start_loading = time.time()
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for item in raw_data:
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try:
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process_start = time.time()
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item["嫌疑犯圖片"] = process_image(item["嫌疑犯圖片"])
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print(f"✅ 蛛絲馬跡 {item['蛛絲馬跡']:02d} 圖片處理完成 | 耗時 {time.time()-process_start:.2f}s")
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except Exception as e:
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print(f"❌ 蛛絲馬跡 {item['蛛絲馬跡']:02d} 圖片處理失敗: {str(e)}")
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item["嫌疑犯圖片"] = None
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print(f"🎉 所有圖片預處理完成 | 總耗時 {time.time()-start_loading:.2f}秒")
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# 共用狀態儲存
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indirect_evidence_store = ""
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def query_data(clue_number):
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global indirect_evidence_store
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try:
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clue_number = int(clue_number)
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if not 1 <= clue_number <= 28:
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return [
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gr.update(value="⚠️ 請輸入1-28之間的整數"),
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gr.update(visible=False),
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gr.update(visible=False),
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None
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]
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target = next((i for i in raw_data if i['蛛絲馬跡'] == clue_number), None)
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if target:
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indirect_evidence_store = target['間接證據'] if target['間接證據'] != "無" else "無間接證據"
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return [
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f"🔍 嫌疑犯:{target['嫌疑犯']}\n🔖 直接證據:{target['直接證據']}",
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gr.update(visible=True),
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gr.update(visible=False),
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target['嫌疑犯圖片'] or None
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]
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return [
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"🕵️♂️ 查無此編號的嫌疑人記錄",
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gr.update(visible=False),
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gr.update(visible=False),
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None
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]
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except:
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return [
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"❌ 輸入格式錯誤,請輸入數字",
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gr.update(visible=False),
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gr.update(visible=False),
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None
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]
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def show_indirect():
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global indirect_evidence_store
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return gr.update(value=f"📚 間接證據分析:{indirect_evidence_store}", visible=True)
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def reset_all():
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global indirect_evidence_store
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indirect_evidence_store = ""
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return [
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gr.update(value=""),
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gr.update(visible=False),
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gr.update(visible=False),
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None
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]
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# 界面設計
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with gr.Blocks(
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theme=gr.themes.Soft(
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primary_hue="blue",
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secondary_hue="gray",
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font=[gr.themes.GoogleFont("Noto Sans TC")]
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),
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css="""
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.suspect-img {border-radius: 10px; box-shadow: 0 4px 12px rgba(0,0,0,0.1);}
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.dark .suspect-img {border: 2px solid #333 !important;}
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.result-box {background: #f8f9fa!important; border-radius: 8px!important;}
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.dark .result-box {background: #2d2d2d!important;}
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"""
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) as demo:
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gr.Markdown("""
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<div style="text-align: center; margin-bottom: 30px;">
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<h1 style="font-weight: 700; color: #2563eb;">🕵️♂️ 刑事偵查系統</h1>
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<h3 style="color: #4b5563;">重大刑案專案追緝平台</h3>
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</div>
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""")
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with gr.Row(variant="panel"):
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input_clue = gr.Number(
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label="🕹️ 輸入蛛絲馬跡編號",
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minimum=1,
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maximum=28,
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precision=0,
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interactive=True,
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container=False
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)
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with gr.Row():
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with gr.Column(scale=2):
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with gr.Group(elem_classes="result-box"):
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result_display = gr.Textbox(
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label="🔎 偵查結果",
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interactive=False,
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lines=3,
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max_lines=3
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)
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indirect_btn = gr.Button(
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"📖 顯示間接證據",
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visible=False,
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size="sm"
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)
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indirect_display = gr.Textbox(
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label="📝 間接證據報告",
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visible=False,
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interactive=False
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)
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with gr.Column(scale=1):
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img_display = gr.Image(
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label="📸 嫌疑人檔案照",
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height=320,
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interactive=False,
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elem_classes="suspect-img"
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)
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with gr.Row():
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submit_btn = gr.Button("🚀 開始偵查", variant="primary")
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reset_btn = gr.Button("🔄 重置查詢", variant="secondary")
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# 事件綁定
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submit_btn.click(
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query_data,
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inputs=input_clue,
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outputs=[result_display, indirect_btn, indirect_display, img_display]
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)
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indirect_btn.click(
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show_indirect,
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outputs=indirect_display
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)
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reset_btn.click(
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reset_all,
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outputs=[input_clue, indirect_btn, indirect_display, img_display]
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)
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# 啟動應用
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860)
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