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<!DOCTYPE html>
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<html lang="zh-TW">
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<head>
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<meta charset="UTF-8">
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<title>Ollama 提示語推薦與查詢</title>
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<style>
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body { font-family: sans-serif; max-width: 600px; margin: 20px auto; }
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.suggestion {
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cursor: pointer;
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padding: 8px;
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border: 1px solid #ccc;
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margin: 5px 0;
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border-radius: 4px;
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}
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.suggestion:hover {
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background-color: #eef;
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}
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textarea {
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width: 100%;
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height: 100px;
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margin-top: 10px;
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font-family: inherit;
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padding: 8px;
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}
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button {
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margin-top: 10px;
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padding: 8px 16px;
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}
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pre {
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background: #f9f9f9;
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padding: 10px;
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white-space: pre-wrap;
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}
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</style>
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</head>
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<body>
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<h1>選擇模型並獲得建議提示</h1>
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<label for="modelSelect">選擇模型：</label>
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<select id="modelSelect">
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<option value="">請選擇模型</option>
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</select>
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<button id="getSuggestions">取得建議提示</button>
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<h3>建議提示：</h3>
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<div id="suggestionList">（尚未載入）</div>
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<h3>選擇的提示：</h3>
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<textarea id="customPrompt" placeholder="請從上方建議中點選，或自行輸入 prompt..."></textarea>
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<h3>選擇操作：</h3>
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<select id="actionSelect">
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<option value="create">創作</option>
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<option value="explain">解釋</option>
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</select>
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<button id="generate">產生</button>
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<h3>模型回應：</h3>
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<pre id="responseOutput">（尚未查詢）</pre>
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<script>
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async function loadModels() {
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try {
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const res = await fetch('http://127.0.0.1:11434/api/tags');
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const data = await res.json();
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const select = document.getElementById('modelSelect');
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data.models.forEach(model => {
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const opt = document.createElement('option');
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opt.value = model.name;
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opt.textContent = model.name;
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select.appendChild(opt);
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});
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} catch (err) {
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console.error(err);
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alert('無法載入模型，請確認 Ollama 是否已啟動');
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}
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}
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async function getPromptSuggestions() {
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const model = document.getElementById('modelSelect').value;
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const container = document.getElementById('suggestionList');
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if (!model) {
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alert('請先選擇模型');
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return;
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}
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container.innerHTML = '載入中...';
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const prompt = `你是 ${model} 模型，請列出 3~5 個你擅長的提示語，每個換行顯示，不需要額外說明。`;
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try {
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const res = await fetch('http://127.0.0.1:11434/api/generate', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ model, prompt, stream: false })
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});
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const data = await res.json();
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const lines = data.response.split('\n').filter(l => l.trim());
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container.innerHTML = '';
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lines.forEach(line => {
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const div = document.createElement('div');
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div.className = 'suggestion';
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div.textContent = line;
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div.addEventListener('click', () => {
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document.getElementById('customPrompt').value = line;
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});
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container.appendChild(div);
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});
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} catch (err) {
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console.error(err);
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container.innerHTML = '取得建議失敗';
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}
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}
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async function generateResponse() {
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const model = document.getElementById('modelSelect').value;
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const prompt = document.getElementById('customPrompt').value.trim();
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const action = document.getElementById('actionSelect').value;
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const output = document.getElementById('responseOutput');
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if (!model || !prompt) {
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alert('請選擇模型並輸入 prompt');
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return;
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}
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let finalPrompt = prompt;
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if (action === 'create') {
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finalPrompt = `您是該領域專家，請創作：${prompt}`;
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} else if (action === 'explain') {
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finalPrompt = `您是該領域專家，請解釋：${prompt}`;
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}
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output.textContent = '產生中...';
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try {
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const res = await fetch('http://127.0.0.1:11434/api/generate', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ model, prompt: finalPrompt, stream: false })
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});
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const data = await res.json();
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output.textContent = data.response || '未收到回應';
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} catch (err) {
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console.error(err);
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output.textContent = '產生失敗';
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}
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}
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document.getElementById('getSuggestions').addEventListener('click', getPromptSuggestions);
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document.getElementById('generate').addEventListener('click', generateResponse);
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window.onload = loadModels;
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</script>
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</body>
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</html>
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