223 lines
7.0 KiB
JavaScript
223 lines
7.0 KiB
JavaScript
// 简单的静态网页调用 GitHub Models API 进行聊天
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// 注意：将 token 暴露在前端存在安全风险，仅用于本地演示
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const endpoint = "https://models.github.ai/inference";
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let apiKey = "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"; // 注意：已硬编码，仅用于本地演示
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const chatBox = document.getElementById("chat-box");
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const userInput = document.getElementById("user-input");
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const sendBtn = document.getElementById("send-btn");
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const modelSelect = document.getElementById("model");
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// 模型信息映射（中文描述与上下文上限）
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const MODEL_INFO = {
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"openai/gpt-4.1": {
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name: "gpt-4.1",
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inputTokens: "1049k",
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outputTokens: "33k",
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about: "在各方面优于 gpt-4o，编码、指令跟随与长上下文理解均有显著提升"
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},
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"openai/gpt-4.1-mini": {
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name: "gpt-4.1-mini",
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inputTokens: "1049k",
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outputTokens: "33k",
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about: "在各方面优于 gpt-4o-mini，在编码、指令跟随与长上下文处理上有显著提升"
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},
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"openai/gpt-4.1-nano": {
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name: "gpt-4.1-nano",
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inputTokens: "1049k",
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outputTokens: "33k",
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about: "在编码、指令跟随与长上下文处理上有所提升，同时具备更低延迟与成本"
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},
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"openai/gpt-4o": {
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name: "gpt-4o",
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inputTokens: "131k",
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outputTokens: "16k",
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about: "OpenAI 最先进的多模态 gpt-4o 家族模型，可处理文本与图像输入"
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},
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"openai/gpt-5": {
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name: "gpt-5",
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inputTokens: "200k",
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outputTokens: "100k",
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about: "针对逻辑密集与多步骤任务设计"
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},
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"deepseek-r1": {
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name: "deepseek-r1",
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inputTokens: "128k",
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outputTokens: "4k",
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about: "通过逐步训练过程在推理任务上表现出色，适用于语言、科学推理与代码生成等"
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},
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"deepseek-v3-0324": {
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name: "deepseek-v3-0324",
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inputTokens: "128k",
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outputTokens: "4k",
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about: "相较于 DeepSeek-V3 在关键方面显著提升，包括更强的推理能力、函数调用与代码生成表现"
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},
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"xai/grok-3": {
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name: "grok-3",
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inputTokens: "131k",
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outputTokens: "4k",
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about: "Grok 3 是 xAI 的首发模型，由 Colossus 在超大规模上进行预训练，在金融、医疗和法律等专业领域表现突出。"
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},
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"xai/grok-3-mini": {
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name: "grok-3-mini",
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inputTokens: "131k",
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outputTokens: "4k",
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about: "Grok 3 Mini 是一款轻量级模型，会在答复前进行思考。它针对数学与科学问题进行训练，特别适合逻辑类任务。"
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}
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};
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function renderModelInfo() {
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const m = MODEL_INFO[modelSelect.value];
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const infoEl = document.getElementById('model-info');
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if (!infoEl) return;
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if (m) {
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infoEl.innerHTML = `<div><span class="name">${m.name}</span> <span class="tokens">上下文 ${m.inputTokens} 输入 · ${m.outputTokens} 输出</span></div><div class="about">简介：${m.about}</div>`;
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} else {
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infoEl.innerHTML = `<div class="about">未配置该模型的上下文限制信息</div>`;
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}
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}
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// Markdown 解析配置（若库已加载）
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if (window.marked) {
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marked.setOptions({ gfm: true, breaks: true, headerIds: true, mangle: false });
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}
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function renderMarkdown(text) {
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try {
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if (window.marked && window.DOMPurify) {
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const html = marked.parse(text || '');
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return DOMPurify.sanitize(html);
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}
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} catch (_) {}
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return text || '';
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}
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function appendMessage(role, text){
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const message = document.createElement('div');
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message.className = `message ${role}`;
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const bubble = document.createElement('div');
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bubble.className = 'bubble';
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// Markdown 渲染
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bubble.innerHTML = renderMarkdown(text);
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message.appendChild(bubble);
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chatBox.appendChild(message);
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chatBox.scrollTop = chatBox.scrollHeight;
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}
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function appendStreamingMessage(role){
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const message = document.createElement('div');
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message.className = `message ${role}`;
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const bubble = document.createElement('div');
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bubble.className = 'bubble';
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bubble._mdBuffer = '';
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bubble.innerHTML = '';
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message.appendChild(bubble);
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chatBox.appendChild(message);
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chatBox.scrollTop = chatBox.scrollHeight;
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return bubble;
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}
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async function sendMessage(){
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const content = userInput.value.trim();
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if (!content) return;
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appendMessage('user', content);
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userInput.value = '';
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const model = modelSelect.value;
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// 令牌已硬编码（本地演示），如未配置则提示
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if (!apiKey) {
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appendMessage('assistant', '未配置令牌');
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return;
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}
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sendBtn.disabled = true;
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const assistantBubble = appendStreamingMessage('assistant');
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try {
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const res = await fetch(`${endpoint}/chat/completions`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Authorization': `Bearer ${apiKey}`
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},
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body: JSON.stringify({
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model,
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temperature: 1,
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top_p: 1,
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stream: true,
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messages: [
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{ role: 'system', content: '' },
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{ role: 'user', content }
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]
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})
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});
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if (!res.ok) {
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const errText = await res.text();
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throw new Error(`HTTP ${res.status}: ${errText}`);
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}
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const reader = res.body.getReader();
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const decoder = new TextDecoder('utf-8');
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let buffer = '';
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let doneStream = false;
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while (!doneStream) {
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const { value, done } = await reader.read();
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if (done) break;
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buffer += decoder.decode(value, { stream: true });
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const parts = buffer.split(/\r?\n/);
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buffer = parts.pop();
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for (const part of parts) {
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const line = part.trim();
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if (line === '') continue;
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if (line.startsWith('data:')) {
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const payload = line.slice(5).trim();
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if (payload === '[DONE]') {
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doneStream = true;
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break;
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}
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try {
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const json = JSON.parse(payload);
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const delta = json?.choices?.[0]?.delta?.content ?? json?.choices?.[0]?.message?.content ?? '';
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if (delta) {
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// 累计流式文本并增量渲染 Markdown
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assistantBubble._mdBuffer = (assistantBubble._mdBuffer || '') + delta;
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const safeHtml = renderMarkdown(assistantBubble._mdBuffer);
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assistantBubble.innerHTML = safeHtml;
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chatBox.scrollTop = chatBox.scrollHeight;
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}
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} catch (e) {
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// 忽略无法解析的行
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}
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}
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}
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}
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if (!assistantBubble._mdBuffer || !assistantBubble.textContent) {
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assistantBubble.textContent = '（无内容返回）';
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}
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} catch (err) {
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//assistantBubble.textContent = `出错了：${err.message}`;
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assistantBubble.textContent = `调用次数过多或者使用人数过多，请稍后再试！`;
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} finally {
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sendBtn.disabled = false;
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}
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}
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sendBtn.addEventListener('click', sendMessage);
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userInput.addEventListener('keydown', (e) => {
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if (e.key === 'Enter' && !e.shiftKey) {
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e.preventDefault();
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sendMessage();
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}
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});
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// 切换模型时更新信息面板，初次渲染一次
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modelSelect.addEventListener('change', renderModelInfo);
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renderModelInfo(); |