Datasets:

TsungChihTsai
/

V1_created_html

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