55eab2ef41
Co-authored-by: aider (openai//models/qwen2.5-coder-32b-instruct-q4_k_m.gguf) <aider@aider.chat>
1036 lines
27 KiB
HTML
1036 lines
27 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Chat</title>
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<!-- Darker markdown styling -->
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<style>
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.markdown-content {
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color: #24292f;
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font-size: 15px;
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line-height: 1.6;
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}
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.markdown-content h1, .markdown-content h2, .markdown-content h3 {
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color: #1a1a1a;
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border-bottom: 1px solid #eaecef;
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padding-bottom: 0.3em;
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margin-top: 1.5em;
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margin-bottom: 0.8em;
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}
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.markdown-content h1 {
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font-size: 1.8em;
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}
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.markdown-content h2 {
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font-size: 1.5em;
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}
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.markdown-content h3 {
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font-size: 1.25em;
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}
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.markdown-content p {
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margin: 0.8em 0;
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color: #2d3339;
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}
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.markdown-content code {
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background-color: #f6f8fa;
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color: #d63384;
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padding: 0.2em 0.4em;
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border-radius: 3px;
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font-family: 'SFMono-Regular', Consolas, 'Liberation Mono', Menlo, monospace;
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font-size: 0.9em;
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}
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.markdown-content pre {
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background-color: #0d1117;
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color: #c9d1d9;
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padding: 1em;
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border-radius: 6px;
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overflow-x: auto;
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margin: 1em 0;
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border: 1px solid #30363d;
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}
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.markdown-content pre code {
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background-color: transparent;
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color: inherit;
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padding: 0;
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}
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.markdown-content ul, .markdown-content ol {
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padding-left: 1.8em;
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margin: 0.8em 0;
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color: #2d3339;
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}
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.markdown-content li {
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margin: 0.3em 0;
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}
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.markdown-content blockquote {
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border-left: 3px solid #d0d7de;
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padding-left: 1em;
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margin: 1em 0;
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color: #57606a;
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}
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.markdown-content table {
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border-collapse: collapse;
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margin: 1em 0;
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width: 100%;
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}
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.markdown-content th, .markdown-content td {
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border: 1px solid #d0d7de;
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padding: 0.5em 1em;
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text-align: left;
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}
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.markdown-content th {
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background-color: #f6f8fa;
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font-weight: 600;
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}
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.markdown-content tr:nth-child(even) {
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background-color: #f6f8fa;
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}
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</style>
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<!-- Markdown parser -->
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<script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
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<!-- Optional: Highlight.js for better code syntax -->
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.8.0/styles/github-dark.min.css">
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<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.8.0/highlight.min.js"></script>
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<style>
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body {
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font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, sans-serif;
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max-width: 900px;
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margin: 0 auto;
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padding: 20px;
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background: #f5f5f5;
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}
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#chatContainer {
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display: flex;
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flex-direction: column;
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height: 95vh;
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background: white;
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border-radius: 10px;
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box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1);
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overflow: hidden;
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}
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#header {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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color: white;
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padding: 15px 20px;
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font-size: 1.2em;
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display: flex;
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justify-content: space-between;
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align-items: center;
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}
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#chatLog {
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flex: 1;
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overflow-y: auto;
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padding: 20px;
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background: #fafafa;
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}
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.message {
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margin-bottom: 25px;
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animation: fadeIn 0.3s ease-in;
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}
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.message-user {
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background: #e3f2fd;
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border-left: 4px solid #2196f3;
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padding: 12px 15px;
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border-radius: 0 8px 8px 0;
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margin-left: 0;
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margin-right: 40px;
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}
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.message-assistant {
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background: white;
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border: 1px solid #e0e0e0;
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border-radius: 8px;
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padding: 15px;
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margin-right: 0;
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margin-left: 40px;
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box-shadow: 0 1px 3px rgba(0, 0, 0, 0.05);
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}
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.message-header {
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display: flex;
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align-items: center;
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margin-bottom: 12px;
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font-weight: 600;
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}
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.message-header.user {
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color: #1976d2;
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}
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.message-header.assistant {
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color: #388e3c;
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}
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.avatar {
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width: 28px;
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height: 28px;
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border-radius: 50%;
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margin-right: 10px;
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display: flex;
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align-items: center;
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justify-content: center;
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font-size: 14px;
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}
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.user-avatar {
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background: #2196f3;
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color: white;
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}
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.assistant-avatar {
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background: #4caf50;
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color: white;
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}
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#inputArea {
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border-top: 1px solid #e0e0e0;
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padding: 15px;
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background: white;
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display: flex;
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flex-direction: column;
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gap: 10px;
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}
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#userInput {
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width: 100%;
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padding: 16px 18px;
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border: 2px solid #ddd;
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border-radius: 10px;
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font-size: 16px;
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resize: none;
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min-height: 100px;
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max-height: 300px;
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font-family: inherit;
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line-height: 1.6;
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box-sizing: border-box;
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}
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#userInput:focus {
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outline: none;
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border-color: #667eea;
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box-shadow: 0 0 0 2px rgba(102, 126, 234, 0.1);
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}
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#sendBtn {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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color: white;
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border: none;
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border-radius: 8px;
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padding: 12px 24px;
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font-weight: 600;
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cursor: pointer;
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transition: transform 0.2s, opacity 0.2s;
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height: 48px;
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}
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#sendBtn:hover:not(:disabled) {
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transform: translateY(-1px);
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opacity: 0.95;
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}
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#sendBtn:disabled {
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background: #ccc;
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cursor: not-allowed;
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}
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.typing-indicator {
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display: flex;
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align-items: center;
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gap: 4px;
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padding: 10px 15px;
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color: #666;
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}
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.typing-dot {
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width: 8px;
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height: 8px;
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background: #4caf50;
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border-radius: 50%;
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animation: typing 1.4s infinite;
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}
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.typing-dot:nth-child(2) {
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animation-delay: 0.2s;
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}
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.typing-dot:nth-child(3) {
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animation-delay: 0.4s;
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}
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@keyframes fadeIn {
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from {
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opacity: 0;
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transform: translateY(10px);
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}
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to {
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opacity: 1;
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transform: translateY(0);
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}
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}
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@keyframes typing {
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0%, 60%, 100% {
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transform: translateY(0);
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}
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30% {
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transform: translateY(-6px);
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}
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}
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.streaming-cursor {
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display: inline-block;
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width: 8px;
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height: 20px;
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background-color: #4caf50;
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margin-left: 2px;
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animation: blink 1s infinite;
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vertical-align: middle;
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}
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@keyframes blink {
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0%, 50% {
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opacity: 1;
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}
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51%, 100% {
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opacity: 0;
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}
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}
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.thinking-block {
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margin: 10px 0;
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border-left: 3px solid #ff9800;
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background: #fff3e0;
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border-radius: 6px;
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overflow: hidden;
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}
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.thinking-header {
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padding: 8px 12px;
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background: #ffe0b2;
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cursor: pointer;
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user-select: none;
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display: flex;
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align-items: center;
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gap: 8px;
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font-weight: 600;
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color: #e65100;
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font-size: 0.9em;
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}
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.thinking-header:hover {
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background: #ffcc80;
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}
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.thinking-toggle {
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transition: transform 0.2s;
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display: inline-block;
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}
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.thinking-toggle.collapsed {
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transform: rotate(-90deg);
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}
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.thinking-content {
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padding: 12px;
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color: #5d4037;
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font-size: 0.9em;
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line-height: 1.5;
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border-top: 1px solid #ffcc80;
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}
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.thinking-content.hidden {
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display: none;
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}
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.controls {
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display: flex;
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gap: 10px;
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margin-top: 10px;
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align-items: center;
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}
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.control-btn {
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padding: 6px 12px;
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background: #f5f5f5;
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border: 1px solid #ddd;
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border-radius: 4px;
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cursor: pointer;
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font-size: 12px;
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}
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.control-btn:hover {
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background: #e9e9e9;
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}
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#modelInfo {
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font-size: 12px;
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color: #666;
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margin-left: auto;
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}
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</style>
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</head>
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<body>
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<div id="chatContainer">
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<div id="header">
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<div>Chat with Streaming</div>
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<div style="font-size: 0.9em; opacity: 0.9; display: flex; align-items: center; gap: 15px; flex-wrap: wrap;">
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<div style="display: flex; align-items: center; gap: 8px;">
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<span>Backend:</span>
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<select id="backendSelector" style="padding: 4px 8px; border-radius: 4px; border: 1px solid #444; background: #2a2a2a; color: #e0e0e0;">
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<option value="plato">Plato (192.168.1.74)</option>
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<option value="stoic">Stoic (192.168.1.159)</option>
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<option value="ollama">Ollama (192.168.1.159:8081)</option>
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</select>
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</div>
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<div style="display: flex; align-items: center; gap: 8px;">
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<span>Model:</span>
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<select id="modelSelector" style="padding: 4px 8px; border-radius: 4px; border: 1px solid #444; background: #2a2a2a; color: #e0e0e0; min-width: 200px;">
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<option value="">Loading models...</option>
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</select>
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</div>
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<code id="backendDisplay" style="font-size: 0.85em;"></code>
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</div>
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</div>
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<div id="chatLog"></div>
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<div id="inputArea">
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<textarea
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id="userInput"
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placeholder="Type your message here... (Shift+Enter for new line, Enter to send)"
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rows="1"
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oninput="autoResize(this)"
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></textarea>
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<div style="display: flex; justify-content: space-between; align-items: center;">
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<div class="controls">
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<div>
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<label>
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<input type="checkbox" id="streamToggle" checked> Streaming
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</label>
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<label style="margin-left: 15px;">
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<input type="checkbox" id="markdownToggle" checked> Markdown
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</label>
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</div>
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<div id="modelInfo">Model: <span id="modelName">unknown</span></div>
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</div>
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<button id="sendBtn">Send</button>
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</div>
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</div>
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</div>
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<script>
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// Configuration
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const BACKENDS = {
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plato: {
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prod: '/api/plato',
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dev: 'http://192.168.1.74:1234/v1',
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name: 'Plato (192.168.1.74)'
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},
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stoic: {
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prod: '/api/stoic',
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dev: 'http://192.168.1.159:1234/v1',
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name: 'Stoic (192.168.1.159)'
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},
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ollama: {
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prod: '/api/ollama',
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dev: 'http://192.168.1.159:8081/v1',
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name: 'Ollama (192.168.1.159:8081)'
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}
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}
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const IS_PRODUCTION = window.location.hostname === 'jarvis-lan.appmodel.nl'
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const API_KEY = 'not-needed'
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// Global state
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let currentBackend = 'plato'
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let currentModel = null
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let availableModels = []
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let currentStreamController = null
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let isStreaming = false
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// Get current API URL based on selected backend
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function getApiUrl() {
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const backend = BACKENDS[currentBackend]
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return IS_PRODUCTION ? backend.prod : backend.dev
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}
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// Update backend display
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function updateBackendDisplay() {
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const backend = BACKENDS[currentBackend]
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const displayText = IS_PRODUCTION
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? `${backend.prod} → ${backend.name}`
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: backend.dev
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document.getElementById('backendDisplay').textContent = displayText
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}
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// Fetch available models from backend
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async function fetchModels() {
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try {
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const response = await fetch(`${getApiUrl()}/models`)
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if (response.ok) {
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const data = await response.json()
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availableModels = data.data || []
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populateModelSelector()
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// Auto-select first model if none selected
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if (!currentModel && availableModels.length > 0) {
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currentModel = availableModels[0].id
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document.getElementById('modelSelector').value = currentModel
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}
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} else {
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console.error('Failed to fetch models:', response.statusText)
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document.getElementById('modelSelector').innerHTML = '<option value="">Error loading models</option>'
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}
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} catch (error) {
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console.error('Error fetching models:', error)
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document.getElementById('modelSelector').innerHTML = '<option value="">Error loading models</option>'
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}
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}
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|
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// Populate model selector dropdown
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function populateModelSelector() {
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const selector = document.getElementById('modelSelector')
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if (availableModels.length === 0) {
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selector.innerHTML = '<option value="">No models available</option>'
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return
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}
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|
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selector.innerHTML = availableModels.map(model =>
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`<option value="${model.id}">${model.id}</option>`
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).join('')
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|
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if (currentModel) {
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selector.value = currentModel
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}
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}
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|
|
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// Handle backend and model selection changes
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|
document.addEventListener('DOMContentLoaded', () => {
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const backendSelector = document.getElementById('backendSelector')
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const modelSelector = document.getElementById('modelSelector')
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backendSelector.value = currentBackend
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updateBackendDisplay()
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fetchModels()
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backendSelector.addEventListener('change', (e) => {
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currentBackend = e.target.value
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updateBackendDisplay()
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console.log('Backend switched to:', currentBackend, '→', getApiUrl())
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fetchModels() // Reload models for new backend
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})
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modelSelector.addEventListener('change', (e) => {
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currentModel = e.target.value
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console.log('Model selected:', currentModel)
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})
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})
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// DOM Elements
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const chatLog = document.getElementById('chatLog')
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const userInput = document.getElementById('userInput')
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const sendBtn = document.getElementById('sendBtn')
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const streamToggle = document.getElementById('streamToggle')
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const markdownToggle = document.getElementById('markdownToggle')
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const modelNameSpan = document.getElementById('modelName')
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|
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// Initialize marked with options
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|
marked.setOptions({
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gfm : true,
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breaks : true,
|
|
highlight: function(code, lang) {
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if (window.hljs) {
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const language = hljs.getLanguage(lang) ? lang : 'plaintext'
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return hljs.highlight(code, { language }).value
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}
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return code
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}
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})
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|
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// Auto-resize textarea
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function autoResize(textarea) {
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textarea.style.height = 'auto'
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textarea.style.height = Math.min(textarea.scrollHeight, 300) + 'px'
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}
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// Old fetchModels function removed - now handled in DOMContentLoaded
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// Add message to chat
|
|
function addMessage(role, content, markdown = false, messageId = null) {
|
|
const messageDiv = document.createElement('div')
|
|
messageDiv.className = `message message-${ role }`
|
|
if (messageId) {
|
|
messageDiv.id = messageId
|
|
}
|
|
|
|
const headerDiv = document.createElement('div')
|
|
headerDiv.className = `message-header ${ role }`
|
|
|
|
const avatar = document.createElement('div')
|
|
avatar.className = `avatar ${ role }-avatar`
|
|
avatar.textContent = role === 'user' ? '👤' : '🤖'
|
|
|
|
const name = document.createElement('span')
|
|
name.textContent = role === 'user' ? 'You' : 'Assistant'
|
|
|
|
headerDiv.appendChild(avatar)
|
|
headerDiv.appendChild(name)
|
|
|
|
const contentDiv = document.createElement('div')
|
|
|
|
if (markdown && role === 'assistant' && markdownToggle.checked) {
|
|
contentDiv.className = 'markdown-content'
|
|
// Parse thinking tags before markdown
|
|
const processedContent = parseThinkingTags(content)
|
|
contentDiv.innerHTML = marked.parse(processedContent)
|
|
// Apply syntax highlighting if hljs is available
|
|
if (window.hljs) {
|
|
setTimeout(() => {
|
|
contentDiv.querySelectorAll('pre code').forEach((block) => {
|
|
hljs.highlightElement(block)
|
|
})
|
|
}, 0)
|
|
}
|
|
} else {
|
|
// Parse thinking tags for non-markdown too
|
|
const processedContent = parseThinkingTags(content)
|
|
contentDiv.innerHTML = processedContent
|
|
contentDiv.style.whiteSpace = 'pre-wrap'
|
|
contentDiv.style.padding = '8px 0'
|
|
contentDiv.style.color = '#2d3339'
|
|
}
|
|
|
|
messageDiv.appendChild(headerDiv)
|
|
messageDiv.appendChild(contentDiv)
|
|
chatLog.appendChild(messageDiv)
|
|
chatLog.scrollTop = chatLog.scrollHeight
|
|
|
|
return contentDiv
|
|
}
|
|
|
|
// Parse [THINK] tags and create collapsible sections
|
|
function parseThinkingTags(content) {
|
|
let result = content
|
|
let thinkingCounter = 0
|
|
|
|
// Handle complete [THINK]...[/THINK] blocks
|
|
const completeThinkRegex = /\[THINK\]([\s\S]*?)\[\/THINK\]/gi
|
|
result = result.replace(completeThinkRegex, (match, thinkContent) => {
|
|
thinkingCounter++
|
|
const id = `thinking-${Date.now()}-${thinkingCounter}`
|
|
return `<div class="thinking-block">
|
|
<div class="thinking-header" onclick="toggleThinking('${id}')">
|
|
<span class="thinking-toggle" id="${id}-toggle">▼</span>
|
|
<span>🤔 Thinking...</span>
|
|
</div>
|
|
<div class="thinking-content" id="${id}">${thinkContent.trim()}</div>
|
|
</div>`
|
|
})
|
|
|
|
// Handle incomplete [THINK] blocks (still streaming)
|
|
const incompleteThinkRegex = /\[THINK\]([\s\S]*?)$/gi
|
|
result = result.replace(incompleteThinkRegex, (match, thinkContent) => {
|
|
thinkingCounter++
|
|
const id = `thinking-${Date.now()}-${thinkingCounter}`
|
|
return `<div class="thinking-block">
|
|
<div class="thinking-header" onclick="toggleThinking('${id}')">
|
|
<span class="thinking-toggle" id="${id}-toggle">▼</span>
|
|
<span>🤔 Thinking...</span>
|
|
</div>
|
|
<div class="thinking-content" id="${id}">${thinkContent.trim()}</div>
|
|
</div>`
|
|
})
|
|
|
|
return result
|
|
}
|
|
|
|
// Toggle thinking section visibility
|
|
window.toggleThinking = function(id) {
|
|
const content = document.getElementById(id)
|
|
const toggle = document.getElementById(id + '-toggle')
|
|
|
|
if (content && toggle) {
|
|
content.classList.toggle('hidden')
|
|
toggle.classList.toggle('collapsed')
|
|
}
|
|
}
|
|
|
|
// Update message content (for streaming)
|
|
function updateMessageContent(contentDiv, newContent, markdown = false) {
|
|
// Parse thinking tags first
|
|
const processedContent = parseThinkingTags(newContent)
|
|
|
|
if (markdown && markdownToggle.checked) {
|
|
contentDiv.innerHTML = marked.parse(processedContent)
|
|
if (window.hljs) {
|
|
setTimeout(() => {
|
|
contentDiv.querySelectorAll('pre code').forEach((block) => {
|
|
hljs.highlightElement(block)
|
|
})
|
|
}, 0)
|
|
}
|
|
} else {
|
|
contentDiv.textContent = newContent
|
|
}
|
|
}
|
|
|
|
// Show typing indicator
|
|
function showTypingIndicator() {
|
|
const typingDiv = document.createElement('div')
|
|
typingDiv.id = 'typingIndicator'
|
|
typingDiv.className = 'message message-assistant'
|
|
|
|
const headerDiv = document.createElement('div')
|
|
headerDiv.className = 'message-header assistant'
|
|
|
|
const avatar = document.createElement('div')
|
|
avatar.className = 'avatar assistant-avatar'
|
|
avatar.textContent = '🤖'
|
|
|
|
const name = document.createElement('span')
|
|
name.textContent = 'Assistant'
|
|
|
|
headerDiv.appendChild(avatar)
|
|
headerDiv.appendChild(name)
|
|
|
|
const dotsDiv = document.createElement('div')
|
|
dotsDiv.className = 'typing-indicator'
|
|
dotsDiv.innerHTML = `
|
|
<div class="typing-dot"></div>
|
|
<div class="typing-dot"></div>
|
|
<div class="typing-dot"></div>
|
|
<span style="margin-left: 8px;">Thinking...</span>
|
|
`
|
|
|
|
typingDiv.appendChild(headerDiv)
|
|
typingDiv.appendChild(dotsDiv)
|
|
chatLog.appendChild(typingDiv)
|
|
chatLog.scrollTop = chatLog.scrollHeight
|
|
|
|
return typingDiv
|
|
}
|
|
|
|
// Remove typing indicator
|
|
function removeTypingIndicator(typingDiv) {
|
|
if (typingDiv && typingDiv.parentNode) {
|
|
typingDiv.parentNode.removeChild(typingDiv)
|
|
}
|
|
}
|
|
|
|
// Handle streaming response
|
|
async function handleStreamingResponse(userMessage) {
|
|
const messageId = 'msg-' + Date.now()
|
|
let accumulatedContent = ''
|
|
let contentDiv = null
|
|
|
|
// Create initial empty message
|
|
const messageDiv = document.createElement('div')
|
|
messageDiv.className = 'message message-assistant'
|
|
messageDiv.id = messageId
|
|
|
|
const headerDiv = document.createElement('div')
|
|
headerDiv.className = 'message-header assistant'
|
|
|
|
const avatar = document.createElement('div')
|
|
avatar.className = 'avatar assistant-avatar'
|
|
avatar.textContent = '🤖'
|
|
|
|
const name = document.createElement('span')
|
|
name.textContent = 'Assistant'
|
|
|
|
headerDiv.appendChild(avatar)
|
|
headerDiv.appendChild(name)
|
|
|
|
contentDiv = document.createElement('div')
|
|
contentDiv.className = 'markdown-content'
|
|
|
|
messageDiv.appendChild(headerDiv)
|
|
messageDiv.appendChild(contentDiv)
|
|
chatLog.appendChild(messageDiv)
|
|
|
|
// Add streaming cursor
|
|
const cursorSpan = document.createElement('span')
|
|
cursorSpan.className = 'streaming-cursor'
|
|
contentDiv.appendChild(cursorSpan)
|
|
|
|
try {
|
|
// Auto-select first model if none selected
|
|
if (!currentModel && availableModels.length > 0) {
|
|
currentModel = availableModels[0].id
|
|
document.getElementById('modelSelector').value = currentModel
|
|
}
|
|
|
|
const requestBody = {
|
|
model : currentModel || 'local-model',
|
|
messages : [{ role: 'user', content: userMessage }],
|
|
stream : true,
|
|
temperature: 0.7,
|
|
max_tokens : 2000
|
|
}
|
|
|
|
const response = await fetch(`${ getApiUrl() }/chat/completions`, {
|
|
method : 'POST',
|
|
headers: {
|
|
'Content-Type' : 'application/json',
|
|
'Authorization': `Bearer ${ API_KEY }`
|
|
},
|
|
body : JSON.stringify(requestBody)
|
|
})
|
|
|
|
if (!response.ok) {
|
|
throw new Error(`API Error: ${ response.status } ${ response.statusText }`)
|
|
}
|
|
|
|
const reader = response.body.getReader()
|
|
const decoder = new TextDecoder()
|
|
|
|
isStreaming = true
|
|
currentStreamController = new AbortController()
|
|
|
|
// Debounce DOM updates to reduce stutter
|
|
let updateScheduled = false
|
|
let lastUpdate = Date.now()
|
|
const MIN_UPDATE_INTERVAL = 50 // ms, update at most every 50ms
|
|
|
|
function scheduleUpdate() {
|
|
if (updateScheduled) return
|
|
|
|
const now = Date.now()
|
|
const timeSinceLastUpdate = now - lastUpdate
|
|
|
|
if (timeSinceLastUpdate >= MIN_UPDATE_INTERVAL) {
|
|
// Update immediately if enough time has passed
|
|
updateScheduled = true
|
|
requestAnimationFrame(() => {
|
|
updateMessageContent(contentDiv, accumulatedContent, markdownToggle.checked)
|
|
if (cursorSpan.parentNode) {
|
|
contentDiv.appendChild(cursorSpan)
|
|
}
|
|
chatLog.scrollTop = chatLog.scrollHeight
|
|
lastUpdate = Date.now()
|
|
updateScheduled = false
|
|
})
|
|
} else {
|
|
// Schedule update after remaining time
|
|
updateScheduled = true
|
|
setTimeout(() => {
|
|
requestAnimationFrame(() => {
|
|
updateMessageContent(contentDiv, accumulatedContent, markdownToggle.checked)
|
|
if (cursorSpan.parentNode) {
|
|
contentDiv.appendChild(cursorSpan)
|
|
}
|
|
chatLog.scrollTop = chatLog.scrollHeight
|
|
lastUpdate = Date.now()
|
|
updateScheduled = false
|
|
})
|
|
}, MIN_UPDATE_INTERVAL - timeSinceLastUpdate)
|
|
}
|
|
}
|
|
|
|
while (true) {
|
|
const { done, value } = await reader.read()
|
|
if (done) break
|
|
|
|
const chunk = decoder.decode(value)
|
|
const lines = chunk.split('\n').filter(line => line.trim() !== '')
|
|
|
|
for (const line of lines) {
|
|
if (line.startsWith('data: ')) {
|
|
const data = line.slice(6)
|
|
|
|
if (data === '[DONE]') {
|
|
isStreaming = false
|
|
currentStreamController = null
|
|
// Final update and remove cursor
|
|
updateMessageContent(contentDiv, accumulatedContent, markdownToggle.checked)
|
|
if (cursorSpan.parentNode) {
|
|
cursorSpan.parentNode.removeChild(cursorSpan)
|
|
}
|
|
chatLog.scrollTop = chatLog.scrollHeight
|
|
return
|
|
}
|
|
|
|
try {
|
|
const parsed = JSON.parse(data)
|
|
if (parsed.choices && parsed.choices[0].delta.content) {
|
|
accumulatedContent += parsed.choices[0].delta.content
|
|
scheduleUpdate()
|
|
}
|
|
} catch (e) {
|
|
console.log('Error parsing stream data:', e)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// Final update
|
|
updateMessageContent(contentDiv, accumulatedContent, markdownToggle.checked)
|
|
chatLog.scrollTop = chatLog.scrollHeight
|
|
|
|
} catch (error) {
|
|
console.error('Streaming error:', error)
|
|
if (error.name !== 'AbortError') {
|
|
updateMessageContent(contentDiv, `Error: ${ error.message }`, false)
|
|
}
|
|
} finally {
|
|
isStreaming = false
|
|
currentStreamController = null
|
|
sendBtn.disabled = false
|
|
userInput.focus()
|
|
|
|
// Remove cursor if still exists
|
|
if (cursorSpan.parentNode) {
|
|
cursorSpan.parentNode.removeChild(cursorSpan)
|
|
}
|
|
}
|
|
}
|
|
|
|
// Handle non-streaming response
|
|
async function handleNonStreamingResponse(userMessage) {
|
|
const typingIndicator = showTypingIndicator()
|
|
|
|
try {
|
|
// Auto-select first model if none selected
|
|
if (!currentModel && availableModels.length > 0) {
|
|
currentModel = availableModels[0].id
|
|
document.getElementById('modelSelector').value = currentModel
|
|
}
|
|
|
|
const requestBody = {
|
|
model : currentModel || 'local-model',
|
|
messages : [{ role: 'user', content: userMessage }],
|
|
stream : false,
|
|
temperature: 0.7,
|
|
max_tokens : 2000
|
|
}
|
|
|
|
const response = await fetch(`${ getApiUrl() }/chat/completions`, {
|
|
method : 'POST',
|
|
headers: {
|
|
'Content-Type' : 'application/json',
|
|
'Authorization': `Bearer ${ API_KEY }`
|
|
},
|
|
body : JSON.stringify(requestBody)
|
|
})
|
|
|
|
if (!response.ok) {
|
|
throw new Error(`API Error: ${ response.status } ${ response.statusText }`)
|
|
}
|
|
|
|
const data = await response.json()
|
|
removeTypingIndicator(typingIndicator)
|
|
|
|
if (data.choices && data.choices.length > 0) {
|
|
const assistantReply = data.choices[0].message.content
|
|
addMessage('assistant', assistantReply, markdownToggle.checked)
|
|
} else {
|
|
addMessage('assistant', 'No response generated.', false)
|
|
}
|
|
|
|
} catch (error) {
|
|
console.error('Error:', error)
|
|
removeTypingIndicator(typingIndicator)
|
|
addMessage('assistant', `Error: ${ error.message }`, false)
|
|
} finally {
|
|
sendBtn.disabled = false
|
|
userInput.focus()
|
|
}
|
|
}
|
|
|
|
// Stop current stream
|
|
function stopStream() {
|
|
if (currentStreamController) {
|
|
currentStreamController.abort()
|
|
isStreaming = false
|
|
currentStreamController = null
|
|
sendBtn.disabled = false
|
|
sendBtn.textContent = 'Send'
|
|
}
|
|
}
|
|
|
|
// Send message
|
|
async function sendMessage() {
|
|
const userMessage = userInput.value.trim()
|
|
if (!userMessage || isStreaming) return
|
|
|
|
addMessage('user', userMessage)
|
|
userInput.value = ''
|
|
userInput.style.height = 'auto'
|
|
sendBtn.disabled = true
|
|
|
|
if (streamToggle.checked) {
|
|
sendBtn.textContent = 'Stop'
|
|
handleStreamingResponse(userMessage)
|
|
} else {
|
|
handleNonStreamingResponse(userMessage)
|
|
}
|
|
}
|
|
|
|
// Event Listeners
|
|
sendBtn.addEventListener('click', () => {
|
|
if (isStreaming) {
|
|
stopStream()
|
|
} else {
|
|
sendMessage()
|
|
}
|
|
})
|
|
|
|
userInput.addEventListener('keydown', (e) => {
|
|
if (e.key === 'Enter' && !e.shiftKey) {
|
|
e.preventDefault()
|
|
if (!isStreaming) {
|
|
sendMessage()
|
|
}
|
|
}
|
|
})
|
|
|
|
// Initialize on load
|
|
window.onload = () => {
|
|
userInput.focus()
|
|
fetchModels()
|
|
|
|
// Add welcome message
|
|
setTimeout(() => {
|
|
const welcomeMessage = `# Welcome to LM Studio Chat! 🚀
|
|
|
|
I now support **real-time streaming responses** and **dark, readable text formatting**.
|
|
|
|
## Features:
|
|
1. **Streaming Mode** (enabled by default) - Watch responses appear word-by-word
|
|
2. **Markdown Rendering** - Proper formatting for code, lists, tables, and more
|
|
3. **Readable Dark Text** - No more eye strain from light gray text
|
|
4. **Model Detection** - Automatically shows your loaded model
|
|
|
|
## Try it out:
|
|
- Ask a technical question to see **code formatting**
|
|
- Type \`ls -la\` in a code block
|
|
- Request a **numbered list** or table
|
|
- Watch the streaming response in real-time!
|
|
|
|
> *Tip: You can toggle streaming and markdown using the checkboxes below.*`
|
|
addMessage('assistant', welcomeMessage, true)
|
|
}, 500)
|
|
}
|
|
</script>
|
|
</body>
|
|
</html>
|