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Update app.py
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app.py
CHANGED
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"""
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======================================================
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📘 金融客服小智(Fintech Assistant)
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版本:v3.
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更新重點:
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======================================================
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"""
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import os, re, base64
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import chromadb
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import gradio as gr
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from langchain_core.documents import Document
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# =============================================
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# 3️⃣
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# =============================================
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client = chromadb.Client()
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collection_map = {"證券": "stocks", "期貨": "futures", "複委託": "overseas"}
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vectordbs = {}
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for cat, docs in qa_docs.items():
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vectordb = Chroma(client=client, collection_name=collection_map[cat], embedding_function=embedding)
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vectordb.add_documents(docs)
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vectordbs[cat] = vectordb
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print("✅ 向量資料庫初始化完成。")
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# =============================================
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# 5️⃣
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# =============================================
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def auto_detect_category(text: str):
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if any(k in text for k in ["股票", "證券", "開戶", "下單", "交割"]):
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return "證券"
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def chat_fn(message, history):
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category = auto_detect_category(message)
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vectordb = vectordbs[category]
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docs = vectordb
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context = "\n\n".join(d.page_content for d in docs) if docs else "查無相關資料"
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prompt = f"""
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你是一位金融客服人員,請根據以下QA
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---
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{context}
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---
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使用者問題:{message}
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"""
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# ✅ 修正記憶體格式,避免 ValueError
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memory.save_context({"input": message}, {"output": reply})
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return reply
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# =============================================
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# 6️⃣ Gradio
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# =============================================
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# === Logo 圖片處理 ===
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logo_base64 = ""
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if os.path.exists(LOGO_PATH):
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with open(LOGO_PATH, "rb") as f:
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with gr.Blocks(
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theme="soft",
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css="""
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font-size: 26px;
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margin-top: 60px;
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margin-bottom: 6px;
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}
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.title-line {
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display: flex;
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justify-content: center;
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align-items: center;
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gap: 8px;
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flex-wrap: nowrap;
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}
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.subtitle {
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white-space: nowrap;
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}
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@media (max-width: 768px) {
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.title-line {
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flex-direction: column;
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gap: 4px;
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}
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#main-title {
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font-size: 22px;
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line-height: 1.4;
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}
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}
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/* ✅ 修正輸入框高度與按鈕比例 */
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#chat-input textarea {
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height: 48px !important;
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min-height: 48px !important;
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font-size: 16px !important;
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padding: 8px 12px !important;
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border-radius: 10px !important;
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}
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#chat-row {
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align-items: center !important;
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gap: 4px !important;
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}
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#send-btn {
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height: 48px !important;
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font-size: 16px !important;
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border-radius: 10px !important;
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}
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/* ✅ 桌機版比例:輸入框 9、按鈕 1 */
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#chat-row .gr-textbox, #chat-row textarea { flex: 9 !important; width: 90% !important; }
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#chat-row .gr-button, #chat-row button { flex: 1 !important; width: 10% !important; }
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/* ✅ 手機版比例:輸入框 9、按鈕 1 + 防止「送出」換行 */
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@media (max-width: 768px) {
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#chat-row .gr-textbox, #chat-row textarea {
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flex: 9 !important;
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width: 90% !important;
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}
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#chat-row .gr-button, #chat-row button {
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flex: 1 !important;
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width: 10% !important;
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max-width: 90px !important;
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min-width: 70px !important;
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white-space: nowrap !important; /* ✅ 不允許文字換行 */
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overflow: hidden !important;
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text-overflow: ellipsis !important;
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letter-spacing: 0.5px !important;
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}
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#send-btn button {
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padding: 0 12px !important;
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font-size: 15px !important;
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line-height: 1 !important; /* ✅ 確保文字垂直置中 */
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}
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}
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"""
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) as demo:
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if logo_base64:
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gr.HTML(f"<div id='logo-top'><img src='data:image/png;base64,{logo_base64}'></div>")
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# 🔹 標題(桌機同行、手機自動換行)
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gr.HTML("""
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<
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👨💼 我是小智
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<span class="subtitle">您的金融好幫手 🫰</span>
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</span>
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</div>
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""")
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gr.Markdown("<div style='text-align:center; color:gray;'>Powered by Gemini & LangChain</div>")
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with gr.Row(
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with gr.Column(scale=4, min_width=300):
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chatbot = gr.Chatbot(label="💬 對話紀錄", type="messages", height=500)
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# ✅ 輸入框與送出鍵同行排列(桌機 9:1、手機 9:1)
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with gr.Row(elem_id="chat-row"):
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user_input = gr.Textbox(
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placeholder="請輸入您的問題(Enter 送出 / Shift+Enter 換行)...",
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show_label=False,
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lines=1,
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max_lines=3,
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elem_id="chat-input",
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scale=9
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)
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send_btn = gr.Button(
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"送出",
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variant="primary",
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elem_id="send-btn",
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scale=1
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)
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# === 輸入邏輯 ===
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def handle_input(message, history):
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if history is None:
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history = []
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if not message.strip():
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return history, gr.update(value="")
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reply = chat_fn(message, history)
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history += [
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{"role": "user", "content": message},
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{"role": "assistant", "content": reply}
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]
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return history, gr.update(value="")
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# ✅ 綁定事件(Enter送出、Shift+Enter換行)
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user_input.submit(handle_input, [user_input, chatbot], [chatbot, user_input])
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send_btn.click(handle_input, [user_input, chatbot], [chatbot, user_input])
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gr.HTML("""
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<script>
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document.addEventListener("DOMContentLoaded", function() {
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const observer = new MutationObserver(() => {
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const textareas = document.querySelectorAll("textarea");
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textareas.forEach((ta) => {
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if (!ta.dataset.bound) {
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ta.dataset.bound = "true";
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ta.addEventListener("keydown", function(e) {
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if (e.key === "Enter" && !e.shiftKey) {
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e.preventDefault();
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const sendBtn = document.querySelector('#send-btn button, #send-btn');
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if (sendBtn) sendBtn.click();
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}
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});
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}
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});
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});
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observer.observe(document.body, { childList: true, subtree: true });
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});
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</script>
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""")
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# 右側:常見問題 + 清除對話
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with gr.Column(scale=1, min_width=200):
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gr.Markdown("### 🔍 常見問題")
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examples = [
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"期貨交易保證金是什麼?",
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"複委託要如何下單?",
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"美股交易時間?",
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"美股可以定期定額嗎?"
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]
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for q in examples:
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gr.Button(q).click(
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fn=lambda q=q
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inputs=[],
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outputs=[chatbot, user_input]
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)
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def clear_all():
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gr.Markdown("---")
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gr.Button("🧹 整理畫面").click(clear_all, outputs=[chatbot, user_input])
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gr.HTML("<div id='footer'>© Fintech Assistant — 僅業務使用,非官方授權</div>")
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demo.launch()
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"""
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======================================================
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📘 金融客服小智(Fintech Assistant)
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版本:v3.4 (📱自動縮放優化版)
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更新重點:
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1. LLM 三次重試機制(防止 API 錯誤中斷)
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2. 整合記憶進 prompt(上下文連貫對話)
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3. 安全向量搜尋(避免空 collection 錯誤)
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4. lambda 修正(避免共享同一 history)
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5. 顯示自動分類提示(可見知識來源)
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6. 📱 新增手機縮放與字體比例自適應
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======================================================
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"""
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import os, re, base64, time
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import chromadb
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import gradio as gr
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from langchain_core.documents import Document
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# =============================================
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# 3️⃣ 向量資料庫初始化(含安全檢查)
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# =============================================
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client = chromadb.Client()
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collection_map = {"證券": "stocks", "期貨": "futures", "複委託": "overseas"}
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vectordbs = {}
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for cat, docs in qa_docs.items():
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vectordb = Chroma(client=client, collection_name=collection_map[cat], embedding_function=embedding)
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try:
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count = vectordb._collection.count() if hasattr(vectordb._collection, "count") else len(vectordb.get()["ids"])
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except Exception:
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count = 0
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if count == 0 and docs:
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vectordb.add_documents(docs)
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vectordbs[cat] = vectordb
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print("✅ 向量資料庫初始化完成。")
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# =============================================
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# 5️⃣ 對話邏輯(改進版)
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# =============================================
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def auto_detect_category(text: str):
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if any(k in text for k in ["股票", "證券", "開戶", "下單", "交割"]):
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return "證券"
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def safe_similarity_search(vectordb, query, k=2):
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"""防止空 collection 錯誤"""
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try:
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results = vectordb.similarity_search(query, k=k)
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except Exception as e:
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print(f"⚠️ 向量搜尋錯誤:{e}")
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results = []
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return results
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def chat_fn(message, history):
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category = auto_detect_category(message)
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vectordb = vectordbs[category]
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docs = safe_similarity_search(vectordb, message, k=2)
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context = "\n\n".join(d.page_content for d in docs) if docs else "查無相關資料"
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# ✅ 整合記憶體歷史紀錄
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history_data = memory.load_memory_variables({}).get("chat_history", [])
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history_text = "\n".join(
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[f"{m['role']}: {m['content']}" for m in history_data if isinstance(m, dict)]
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)
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prompt = f"""
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你是一位金融客服人員,請根據以下QA知識回答。
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---
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{context}
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---
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使用者問題:{message}
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過往對話:
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{history_text}
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"""
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# ✅ LLM 重試機制(3次)
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if llm:
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for attempt in range(3):
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try:
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response = llm.invoke(prompt)
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reply = getattr(response, "content", None) or getattr(response, "text", "⚠️ 無回覆")
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break
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except Exception as e:
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print(f"⚠️ 第 {attempt+1} 次 LLM 錯誤:{e}")
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time.sleep(2)
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reply = "⚠️ 系統忙碌中,請稍後再試。"
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else:
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reply = "(模擬模式)這是示範回覆,請確認是否已設定 GOOGLE_API_KEY。"
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memory.save_context({"input": message}, {"output": reply})
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return f"📂 類別:{category}\n\n{reply}"
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# =============================================
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# 6️⃣ Gradio 介面(含手機縮放CSS)
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# =============================================
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logo_base64 = ""
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if os.path.exists(LOGO_PATH):
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with open(LOGO_PATH, "rb") as f:
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with gr.Blocks(
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theme="soft",
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css="""
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+
/* === 📱 全域縮放設定 === */
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+
@media (max-width: 768px) {
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+
html, body {
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+
zoom: 0.85;
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+
-moz-transform: scale(0.85);
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+
-moz-transform-origin: top left;
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+
}
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+
}
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+
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+
/* === Logo 與標題自適應 === */
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+
#logo-top img { width: 120px; height: auto; }
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| 192 |
+
@media (max-width: 768px) {
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| 193 |
+
#logo-top img { width: 80px; }
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+
h1 { font-size: 20px !important; }
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+
}
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+
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+
/* === 輸入列縮窄設定 === */
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+
@media (max-width: 768px) {
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+
.gradio-container { padding: 6px; }
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+
#chat-row { flex-direction: row !important; gap: 4px !important; }
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+
#chat-row textarea { font-size: 14px !important; height: 42px !important; }
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+
#send-btn { font-size: 14px !important; height: 42px !important; }
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+
}
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| 204 |
+
"""
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| 205 |
) as demo:
|
| 206 |
if logo_base64:
|
| 207 |
gr.HTML(f"<div id='logo-top'><img src='data:image/png;base64,{logo_base64}'></div>")
|
| 208 |
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|
| 209 |
gr.HTML("""
|
| 210 |
+
<h1 style='text-align:center;'>👨💼 我是小智 — 您的金融好幫手 🫰</h1>
|
| 211 |
+
<p style='text-align:center;color:gray;'>Powered by Gemini & LangChain</p>
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|
| 212 |
""")
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|
| 213 |
|
| 214 |
+
with gr.Row():
|
| 215 |
+
with gr.Column(scale=4):
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|
| 216 |
chatbot = gr.Chatbot(label="💬 對話紀錄", type="messages", height=500)
|
| 217 |
+
user_input = gr.Textbox(
|
| 218 |
+
placeholder="請輸入您的問題(Enter 送出 / Shift+Enter 換行)...",
|
| 219 |
+
show_label=False,
|
| 220 |
+
lines=1,
|
| 221 |
+
max_lines=3,
|
| 222 |
+
elem_id="chat-row"
|
| 223 |
+
)
|
| 224 |
+
send_btn = gr.Button("送出", variant="primary", elem_id="send-btn")
|
| 225 |
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|
| 226 |
def handle_input(message, history):
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|
| 227 |
if not message.strip():
|
| 228 |
return history, gr.update(value="")
|
| 229 |
reply = chat_fn(message, history)
|
| 230 |
+
history = history or []
|
| 231 |
history += [
|
| 232 |
{"role": "user", "content": message},
|
| 233 |
+
{"role": "assistant", "content": reply},
|
| 234 |
]
|
| 235 |
return history, gr.update(value="")
|
| 236 |
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|
| 237 |
user_input.submit(handle_input, [user_input, chatbot], [chatbot, user_input])
|
| 238 |
send_btn.click(handle_input, [user_input, chatbot], [chatbot, user_input])
|
| 239 |
|
| 240 |
+
with gr.Column(scale=1):
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|
| 241 |
gr.Markdown("### 🔍 常見問題")
|
| 242 |
examples = [
|
| 243 |
+
"密碼忘記了怎麼辦?",
|
| 244 |
+
"下單憑證怎麼申請?",
|
| 245 |
+
"法人開證劵戶要準備什麼?",
|
| 246 |
"期貨交易保證金是什麼?",
|
|
|
|
| 247 |
"美股交易時間?",
|
| 248 |
+
"美股可以定期定額嗎?",
|
| 249 |
]
|
| 250 |
for q in examples:
|
| 251 |
gr.Button(q).click(
|
| 252 |
+
fn=lambda q=q: handle_input(q, []),
|
| 253 |
inputs=[],
|
| 254 |
+
outputs=[chatbot, user_input],
|
| 255 |
)
|
| 256 |
|
| 257 |
def clear_all():
|
|
|
|
| 260 |
gr.Markdown("---")
|
| 261 |
gr.Button("🧹 整理畫面").click(clear_all, outputs=[chatbot, user_input])
|
| 262 |
|
| 263 |
+
gr.HTML("<div id='footer' style='text-align:center;color:#aaa;'>© Fintech Assistant — 僅業務使用,非官方授權</div>")
|
| 264 |
|
| 265 |
demo.launch()
|