| <!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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|
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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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|
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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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|
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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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|
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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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|
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| <button id="generate">產生</button>
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|
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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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|
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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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|
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| container.innerHTML = '載入中...';
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|
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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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|
|
|
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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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|
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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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|
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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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|
|
