Add CardioAI project with three modules

- Module 1: Dashboard for cardiovascular disease data visualization
- Module 2: Machine learning predictor with Flask API
- Module 3: Voice assistant with DeepSeek and CosyVoice integration
- Add .gitignore for proper file exclusion
- Update requirements and documentation

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
anthony-s526
2026-02-26 21:26:10 +08:00
parent 5246dce55c
commit ffc4192ff0
21 changed files with 3759 additions and 43 deletions

View File

@@ -0,0 +1,886 @@
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>CardioAI - 心血管健康语音助手</title>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
<link href="https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;500;600;700&family=Roboto:wght@300;400;500&display=swap" rel="stylesheet">
<style>
:root {
--primary-color: #2c3e50;
--secondary-color: #3498db;
--accent-color: #9b59b6;
--success-color: #27ae60;
--warning-color: #f39c12;
--danger-color: #e74c3c;
--light-color: #ecf0f1;
--dark-color: #2c3e50;
--border-radius: 12px;
--box-shadow: 0 5px 20px rgba(0, 0, 0, 0.1);
--transition: all 0.3s ease;
}
* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
body {
font-family: 'Roboto', sans-serif;
line-height: 1.6;
color: #333;
background: linear-gradient(135deg, #f5f7fa 0%, #e4e8f0 100%);
min-height: 100vh;
padding: 20px;
}
.container {
max-width: 1200px;
margin: 0 auto;
padding: 20px;
}
.header {
text-align: center;
margin-bottom: 40px;
padding: 30px;
background: white;
border-radius: var(--border-radius);
box-shadow: var(--box-shadow);
position: relative;
overflow: hidden;
}
.header::before {
content: '';
position: absolute;
top: 0;
left: 0;
right: 0;
height: 5px;
background: linear-gradient(90deg, var(--primary-color), var(--accent-color), var(--secondary-color));
}
.logo {
display: flex;
align-items: center;
justify-content: center;
margin-bottom: 20px;
}
.logo i {
font-size: 48px;
color: var(--danger-color);
margin-right: 15px;
}
.logo h1 {
font-family: 'Poppins', sans-serif;
font-size: 36px;
color: var(--primary-color);
font-weight: 700;
}
.subtitle {
font-size: 18px;
color: #666;
margin-top: 10px;
}
.description {
max-width: 800px;
margin: 20px auto 0;
padding: 15px;
background-color: #f8f9fa;
border-radius: 8px;
font-size: 15px;
color: #555;
line-height: 1.8;
}
.content {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 30px;
margin-bottom: 40px;
}
@media (max-width: 992px) {
.content {
grid-template-columns: 1fr;
}
}
.card {
background: white;
border-radius: var(--border-radius);
box-shadow: var(--box-shadow);
padding: 30px;
transition: var(--transition);
position: relative;
overflow: hidden;
}
.card::before {
content: '';
position: absolute;
top: 0;
left: 0;
right: 0;
height: 4px;
background: linear-gradient(90deg, var(--secondary-color), var(--accent-color));
}
.card:hover {
box-shadow: 0 10px 30px rgba(0, 0, 0, 0.15);
transform: translateY(-5px);
}
.card h2 {
font-family: 'Poppins', sans-serif;
font-size: 24px;
color: var(--primary-color);
margin-bottom: 20px;
padding-bottom: 15px;
border-bottom: 2px solid var(--light-color);
display: flex;
align-items: center;
}
.card h2 i {
margin-right: 10px;
color: var(--secondary-color);
}
.form-group {
margin-bottom: 25px;
}
.form-group label {
display: block;
margin-bottom: 8px;
font-weight: 500;
color: var(--dark-color);
font-size: 16px;
}
.form-group textarea {
width: 100%;
min-height: 120px;
padding: 15px;
border: 2px solid #ddd;
border-radius: 8px;
font-size: 16px;
font-family: 'Roboto', sans-serif;
resize: vertical;
transition: var(--transition);
background-color: #f8f9fa;
}
.form-group textarea:focus {
border-color: var(--secondary-color);
outline: none;
background-color: white;
box-shadow: 0 0 0 3px rgba(52, 152, 219, 0.2);
}
.examples {
display: grid;
grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
gap: 10px;
margin-top: 15px;
}
.example-btn {
padding: 10px 15px;
background-color: #f8f9fa;
border: 1px solid #ddd;
border-radius: 6px;
font-size: 14px;
cursor: pointer;
transition: var(--transition);
text-align: left;
}
.example-btn:hover {
background-color: var(--secondary-color);
color: white;
border-color: var(--secondary-color);
}
.btn {
display: inline-block;
padding: 14px 30px;
background: var(--secondary-color);
color: white;
border: none;
border-radius: 8px;
font-size: 18px;
font-weight: 600;
cursor: pointer;
transition: var(--transition);
width: 100%;
margin-top: 10px;
}
.btn:hover {
background: #2980b9;
transform: translateY(-2px);
box-shadow: 0 5px 15px rgba(41, 128, 185, 0.3);
}
.btn:active {
transform: translateY(0);
}
.btn:disabled {
background-color: #95a5a6;
cursor: not-allowed;
transform: none;
box-shadow: none;
}
.btn i {
margin-right: 10px;
}
.result-container {
display: none;
}
.answer-text {
background-color: #f8f9fa;
padding: 20px;
border-radius: 8px;
margin-bottom: 25px;
line-height: 1.8;
font-size: 16px;
max-height: 300px;
overflow-y: auto;
}
.answer-text h3 {
color: var(--primary-color);
margin-bottom: 10px;
font-size: 18px;
}
.audio-controls {
background-color: #f0f8ff;
padding: 20px;
border-radius: 8px;
margin-bottom: 25px;
border-left: 4px solid var(--secondary-color);
}
.audio-controls h3 {
color: var(--primary-color);
margin-bottom: 15px;
font-size: 18px;
display: flex;
align-items: center;
}
.audio-controls h3 i {
margin-right: 10px;
color: var(--accent-color);
}
.audio-player {
width: 100%;
margin-top: 10px;
}
.audio-player audio {
width: 100%;
}
.audio-info {
display: flex;
justify-content: space-between;
margin-top: 10px;
font-size: 14px;
color: #666;
}
.loading {
display: none;
text-align: center;
padding: 40px;
}
.loading-spinner {
width: 60px;
height: 60px;
border: 5px solid #f3f3f3;
border-top: 5px solid var(--secondary-color);
border-radius: 50%;
animation: spin 1s linear infinite;
margin: 0 auto 20px;
}
@keyframes spin {
0% { transform: rotate(0deg); }
100% { transform: rotate(360deg); }
}
.loading p {
font-size: 16px;
color: #666;
margin-top: 10px;
}
.error {
display: none;
background-color: rgba(231, 76, 60, 0.1);
border: 1px solid var(--danger-color);
color: var(--danger-color);
padding: 15px;
border-radius: 8px;
margin-top: 20px;
}
.status-bar {
display: flex;
align-items: center;
justify-content: space-between;
padding: 15px;
background-color: #f8f9fa;
border-radius: 8px;
margin-bottom: 25px;
}
.status-item {
display: flex;
align-items: center;
}
.status-indicator {
width: 12px;
height: 12px;
border-radius: 50%;
margin-right: 10px;
}
.status-connected {
background-color: var(--success-color);
animation: pulse 2s infinite;
}
.status-disconnected {
background-color: var(--danger-color);
}
@keyframes pulse {
0% { opacity: 1; }
50% { opacity: 0.5; }
100% { opacity: 1; }
}
.status-text {
font-size: 14px;
color: #666;
}
.footer {
text-align: center;
padding: 20px;
color: #666;
font-size: 14px;
margin-top: 40px;
border-top: 1px solid #eee;
}
.system-info {
background-color: #f8f9fa;
padding: 15px;
border-radius: 8px;
margin-top: 20px;
font-size: 13px;
color: #777;
}
.system-info p {
margin: 5px 0;
}
.feature-list {
display: grid;
grid-template-columns: repeat(auto-fill, minmax(250px, 1fr));
gap: 15px;
margin-top: 20px;
}
.feature-item {
background-color: #f8f9fa;
padding: 15px;
border-radius: 8px;
display: flex;
align-items: center;
}
.feature-item i {
color: var(--secondary-color);
margin-right: 10px;
font-size: 18px;
}
</style>
</head>
<body>
<div class="container">
<header class="header">
<div class="logo">
<i class="fas fa-microphone-alt"></i>
<h1>CardioAI 语音助手</h1>
</div>
<p class="subtitle">心血管健康智能问答与语音交互系统</p>
<div class="description">
<p>这是一个基于DeepSeek大模型和CosyVoice语音合成技术的心血管健康语音助手。您可以提问任何关于心血管健康的问题系统将提供专业的文字回答并转换为语音播放。</p>
</div>
</header>
<div class="status-bar" id="statusBar">
<div class="status-item">
<div class="status-indicator status-connected" id="llmStatus"></div>
<span class="status-text" id="llmStatusText">DeepSeek LLM: 连接中...</span>
</div>
<div class="status-item">
<div class="status-indicator status-connected" id="ttsStatus"></div>
<span class="status-text" id="ttsStatusText">CosyVoice TTS: 连接中...</span>
</div>
</div>
<div class="content">
<div class="card">
<h2><i class="fas fa-question-circle"></i> 提问心血管健康问题</h2>
<form id="questionForm">
<div class="form-group">
<label for="question"><i class="fas fa-comment-medical"></i> 请输入您的问题:</label>
<textarea id="question" name="question" placeholder="例如:如何预防高血压?心脏病早期有哪些症状?哪些食物对心脏健康有益?..." required></textarea>
</div>
<div class="form-group">
<label><i class="fas fa-lightbulb"></i> 示例问题:</label>
<div class="examples">
<button type="button" class="example-btn" onclick="setExample(0)">如何预防高血压?</button>
<button type="button" class="example-btn" onclick="setExample(1)">心脏病早期有哪些症状?</button>
<button type="button" class="example-btn" onclick="setExample(2)">哪些食物对心脏健康有益?</button>
<button type="button" class="example-btn" onclick="setExample(3)">如何控制胆固醇水平?</button>
</div>
</div>
<button type="submit" class="btn" id="submitBtn">
<i class="fas fa-brain"></i> 获取专业回答
</button>
</form>
<div class="loading" id="loading">
<div class="loading-spinner"></div>
<p>正在生成专业回答并合成语音,请稍候...</p>
</div>
<div class="error" id="errorMessage"></div>
<div class="system-info">
<p><i class="fas fa-info-circle"></i> 系统提示回答由AI生成仅供参考。如有医疗问题请咨询专业医生。</p>
</div>
</div>
<div class="card result-container" id="resultContainer">
<h2><i class="fas fa-comment-medical"></i> 回答结果</h2>
<div class="answer-text" id="answerText">
<!-- 文字回答将显示在这里 -->
</div>
<div class="audio-controls">
<h3><i class="fas fa-volume-up"></i> 语音播报</h3>
<div class="audio-player">
<audio controls id="audioPlayer" autoplay>
<source id="audioSource" type="audio/mp3">
您的浏览器不支持音频播放。
</audio>
</div>
<div class="audio-info">
<span id="audioStatus">准备播放...</span>
<span id="audioTime">00:00</span>
</div>
</div>
<div class="feature-list">
<div class="feature-item">
<i class="fas fa-user-md"></i>
<span>专业心血管健康顾问</span>
</div>
<div class="feature-item">
<i class="fas fa-robot"></i>
<span>基于DeepSeek大模型</span>
</div>
<div class="feature-item">
<i class="fas fa-microphone-alt"></i>
<span>CosyVoice语音合成</span>
</div>
<div class="feature-item">
<i class="fas fa-headphones-alt"></i>
<span>实时音频播放</span>
</div>
</div>
<button class="btn" id="newQuestionBtn" style="margin-top: 30px; background-color: var(--primary-color);">
<i class="fas fa-redo"></i> 提出新问题
</button>
</div>
</div>
<div class="footer">
<p><i class="fas fa-shield-alt"></i> CardioAI - 心血管疾病智能辅助系统</p>
<p>本工具提供基于AI的心血管健康咨询服务仅供参考不能替代专业医疗建议。</p>
<p>© 2026 CardioAI. 所有权利保留。</p>
</div>
</div>
<script>
// DOM元素
const questionForm = document.getElementById('questionForm');
const questionInput = document.getElementById('question');
const submitBtn = document.getElementById('submitBtn');
const loadingElement = document.getElementById('loading');
const errorElement = document.getElementById('errorMessage');
const resultContainer = document.getElementById('resultContainer');
const answerText = document.getElementById('answerText');
const audioPlayer = document.getElementById('audioPlayer');
const audioSource = document.getElementById('audioSource');
const audioStatus = document.getElementById('audioStatus');
const audioTime = document.getElementById('audioTime');
const newQuestionBtn = document.getElementById('newQuestionBtn');
const llmStatus = document.getElementById('llmStatus');
const llmStatusText = document.getElementById('llmStatusText');
const ttsStatus = document.getElementById('ttsStatus');
const ttsStatusText = document.getElementById('ttsStatusText');
// 示例问题
const exampleQuestions = [
"如何预防高血压?请提供具体的饮食和生活方式建议。",
"心脏病早期有哪些症状?哪些人群需要特别注意?",
"哪些食物对心脏健康有益?请推荐一些心脏友好的食谱。",
"如何控制胆固醇水平?除了药物,还有哪些自然方法?",
"心血管疾病患者适合进行哪些运动?运动时需要注意什么?",
"什么是冠心病?它的主要危险因素有哪些?",
"如何区分心绞痛和心肌梗死?出现相关症状应该怎么办?",
"糖尿病患者如何预防心血管并发症?",
"血压多少算正常?不同年龄段的血压标准有差异吗?",
"长期压力对心血管健康有什么影响?如何有效管理压力?"
];
// 设置示例问题
function setExample(index) {
if (index >= 0 && index < exampleQuestions.length) {
questionInput.value = exampleQuestions[index];
questionInput.focus();
}
}
// 检查系统状态
async function checkSystemStatus() {
try {
const response = await fetch('/api/health');
if (response.ok) {
const data = await response.json();
// 更新LLM状态
if (data.llm_initialized) {
llmStatus.className = 'status-indicator status-connected';
llmStatusText.textContent = 'DeepSeek LLM: 已连接';
} else {
llmStatus.className = 'status-indicator status-disconnected';
if (data.missing_config && data.missing_config.deepseek) {
llmStatusText.textContent = 'DeepSeek LLM: 需要API密钥';
llmStatusText.title = '请配置.env文件中的DEEPSEEK_API_KEY1';
} else {
llmStatusText.textContent = 'DeepSeek LLM: 未连接';
}
}
// 更新TTS状态
if (data.dashscope_initialized) {
ttsStatus.className = 'status-indicator status-connected';
ttsStatusText.textContent = 'CosyVoice TTS: 已连接';
} else {
ttsStatus.className = 'status-indicator status-disconnected';
if (data.missing_config && data.missing_config.dashscope) {
ttsStatusText.textContent = 'CosyVoice TTS: 需要API密钥';
ttsStatusText.title = '请配置.env文件中的DASHSCOPE_API_KEY';
} else {
ttsStatusText.textContent = 'CosyVoice TTS: 未连接';
}
}
// 显示配置警告(如果需要)
if (data.setup_required) {
showConfigWarning(data.setup_instructions);
} else {
hideConfigWarning();
}
return data;
} else {
throw new Error('健康检查失败');
}
} catch (error) {
console.error('检查系统状态时出错:', error);
llmStatus.className = 'status-indicator status-disconnected';
llmStatusText.textContent = 'DeepSeek LLM: 检查失败';
ttsStatus.className = 'status-indicator status-disconnected';
ttsStatusText.textContent = 'CosyVoice TTS: 检查失败';
return null;
}
}
// 显示加载状态
function showLoading() {
loadingElement.style.display = 'block';
submitBtn.disabled = true;
submitBtn.innerHTML = '<i class="fas fa-spinner fa-spin"></i> 处理中...';
errorElement.style.display = 'none';
}
// 隐藏加载状态
function hideLoading() {
loadingElement.style.display = 'none';
submitBtn.disabled = false;
submitBtn.innerHTML = '<i class="fas fa-brain"></i> 获取专业回答';
}
// 显示错误信息
function showError(message) {
errorElement.textContent = message;
errorElement.style.display = 'block';
hideLoading();
}
// 显示配置警告
function showConfigWarning(message) {
// 创建或显示配置警告元素
let configWarning = document.getElementById('configWarning');
if (!configWarning) {
configWarning = document.createElement('div');
configWarning.id = 'configWarning';
configWarning.className = 'config-warning';
configWarning.style.cssText = `
background-color: #fff3cd;
border: 1px solid #ffeaa7;
color: #856404;
padding: 15px;
border-radius: 8px;
margin-bottom: 20px;
display: flex;
align-items: center;
justify-content: space-between;
`;
const warningContent = document.createElement('div');
warningContent.style.flex = '1';
warningContent.innerHTML = `
<strong><i class="fas fa-exclamation-triangle"></i> 配置提示</strong>
<p style="margin: 8px 0 0 0; font-size: 14px;">${message}</p>
<p style="margin: 5px 0 0 0; font-size: 13px;">
请复制 <code>.env.example</code> 为 <code>.env</code> 并填入您的API密钥。
</p>
`;
const closeBtn = document.createElement('button');
closeBtn.innerHTML = '<i class="fas fa-times"></i>';
closeBtn.style.cssText = `
background: none;
border: none;
color: #856404;
cursor: pointer;
font-size: 16px;
padding: 5px 10px;
`;
closeBtn.onclick = () => configWarning.style.display = 'none';
configWarning.appendChild(warningContent);
configWarning.appendChild(closeBtn);
// 插入到状态栏之后
const statusBar = document.getElementById('statusBar');
statusBar.parentNode.insertBefore(configWarning, statusBar.nextSibling);
} else {
configWarning.style.display = 'block';
const warningContent = configWarning.querySelector('div');
warningContent.innerHTML = `
<strong><i class="fas fa-exclamation-triangle"></i> 配置提示</strong>
<p style="margin: 8px 0 0 0; font-size: 14px;">${message}</p>
<p style="margin: 5px 0 0 0; font-size: 13px;">
请复制 <code>.env.example</code> 为 <code>.env</code> 并填入您的API密钥。
</p>
`;
}
}
function hideConfigWarning() {
const configWarning = document.getElementById('configWarning');
if (configWarning) {
configWarning.style.display = 'none';
}
}
// 更新音频时间显示
function updateAudioTime() {
const currentTime = audioPlayer.currentTime;
const duration = audioPlayer.duration;
if (!isNaN(duration)) {
const currentMinutes = Math.floor(currentTime / 60);
const currentSeconds = Math.floor(currentTime % 60);
const durationMinutes = Math.floor(duration / 60);
const durationSeconds = Math.floor(duration % 60);
audioTime.textContent =
`${currentMinutes.toString().padStart(2, '0')}:${currentSeconds.toString().padStart(2, '0')} / ${durationMinutes.toString().padStart(2, '0')}:${durationSeconds.toString().padStart(2, '0')}`;
}
}
// 显示结果
function displayResults(data) {
// 显示文字回答
answerText.innerHTML = `
<h3><i class="fas fa-comment-medical"></i> 专业回答:</h3>
<div style="white-space: pre-wrap; line-height: 1.8;">${data.text_answer}</div>
`;
// 如果有音频数据,设置音频播放器
if (data.audio_base64) {
// 创建base64音频URL
const audioUrl = `data:audio/mp3;base64,${data.audio_base64}`;
audioSource.src = audioUrl;
audioPlayer.load();
// 设置音频事件监听器
audioPlayer.oncanplay = function() {
audioStatus.textContent = '准备播放...';
};
audioPlayer.onplay = function() {
audioStatus.textContent = '正在播放...';
};
audioPlayer.onpause = function() {
audioStatus.textContent = '已暂停';
};
audioPlayer.onended = function() {
audioStatus.textContent = '播放完成';
};
audioPlayer.ontimeupdate = updateAudioTime;
// 尝试自动播放
audioPlayer.play().catch(function(error) {
console.log('自动播放被阻止:', error);
audioStatus.textContent = '点击播放按钮开始播放';
});
} else {
audioStatus.textContent = '语音合成失败,仅显示文字回答';
}
// 显示结果容器
resultContainer.style.display = 'block';
// 滚动到结果
resultContainer.scrollIntoView({ behavior: 'smooth', block: 'nearest' });
}
// 表单提交处理
questionForm.addEventListener('submit', async function(event) {
event.preventDefault();
// 验证表单
if (!questionForm.checkValidity()) {
questionForm.reportValidity();
return;
}
const question = questionInput.value.trim();
if (!question) {
showError('请输入问题内容');
return;
}
showLoading();
try {
// 发送问题到后端
const response = await fetch('/api/ask', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({ question: question })
});
// 检查响应状态
if (!response.ok) {
// 尝试获取错误信息
const contentType = response.headers.get('content-type');
if (contentType && contentType.includes('application/json')) {
const errorData = await response.json();
throw new Error(errorData.message || `服务器错误 (${response.status})`);
} else {
const errorText = await response.text();
// 如果返回的是HTML提取有用的错误信息
if (errorText.includes('<html') || errorText.includes('<!DOCTYPE')) {
throw new Error(`服务器返回了HTML错误页面 (${response.status}),请检查后端配置`);
} else {
throw new Error(`服务器错误: ${errorText.substring(0, 100)}... (${response.status})`);
}
}
}
// 解析JSON响应
const result = await response.json();
if (result.status === 'success') {
displayResults(result);
} else {
showError(result.message || '获取回答时出错');
}
} catch (error) {
showError(`请求失败: ${error.message}。请检查服务器是否运行正常或API密钥是否正确配置。`);
console.error('详细错误:', error);
} finally {
hideLoading();
}
});
// 新问题按钮
newQuestionBtn.addEventListener('click', function() {
resultContainer.style.display = 'none';
questionInput.value = '';
questionInput.focus();
// 滚动到表单
questionForm.scrollIntoView({ behavior: 'smooth', block: 'nearest' });
});
// 页面加载时初始化
document.addEventListener('DOMContentLoaded', async function() {
console.log('🎤 CardioAI语音助手界面已初始化');
// 检查系统状态
await checkSystemStatus();
// 设置初始焦点
questionInput.focus();
// 每30秒检查一次系统状态
setInterval(checkSystemStatus, 30000);
});
</script>
</body>
</html>

View File

@@ -0,0 +1,333 @@
#!/usr/bin/env python3
"""
CardioAI - 语音助手模块
基于Deepseek和CosyVoice的心血管健康问答语音助手
"""
import os
import base64
from flask import Flask, request, jsonify, render_template
from langchain_openai import ChatOpenAI
from dotenv import load_dotenv
import dashscope
from dashscope.audio.tts_v2 import SpeechSynthesizer, AudioFormat, ResultCallback
import json
import traceback
# 初始化Flask应用
app = Flask(__name__, template_folder='templates')
# 环境变量路径 - 从ENV_PATH环境变量读取默认为项目根目录下的.env文件
ENV_PATH = os.getenv('ENV_PATH', '/Users/anthony/PycharmProjects/ sad_test01/.env')
def load_environment_variables():
"""加载环境变量"""
try:
if os.path.exists(ENV_PATH):
print(f"📋 从 {ENV_PATH} 加载环境变量")
load_dotenv(dotenv_path=ENV_PATH)
else:
print(f"⚠️ 环境变量文件不存在: {ENV_PATH},尝试从默认位置加载")
load_dotenv() # 尝试从默认位置加载
# 检查必要的环境变量
required_vars = ['DEEPSEEK_API_KEY1', 'DASHSCOPE_API_KEY']
missing_vars = [var for var in required_vars if not os.getenv(var)]
if missing_vars:
print(f"❌ 缺少必要的环境变量: {missing_vars}")
print("⚠️ 请在环境变量文件中设置以下变量:")
print(" - DEEPSEEK_API_KEY1: DeepSeek API密钥")
print(" - DASHSCOPE_API_KEY: DashScope (阿里云) API密钥")
print(" - base_url1: DeepSeek API基础URL (可选,默认: https://api.deepseek.com/v1)")
return False
else:
print("✅ 环境变量加载成功")
print(f" DeepSeek API密钥: {'已设置' if os.getenv('DEEPSEEK_API_KEY1') else '未设置'}")
print(f" DashScope API密钥: {'已设置' if os.getenv('DASHSCOPE_API_KEY') else '未设置'}")
print(f" DeepSeek基础URL: {os.getenv('base_url1', '默认: https://api.deepseek.com/v1')}")
return True
except Exception as e:
print(f"❌ 加载环境变量时出错: {e}")
traceback.print_exc()
return False
def initialize_llm():
"""初始化DeepSeek LLM"""
try:
# 设置DeepSeek API配置 (使用与llm_streaming.py一致的变量名)
deepseek_api_key = os.getenv('DEEPSEEK_API_KEY1')
deepseek_base_url = os.getenv('base_url1', 'https://api.deepseek.com/v1')
if not deepseek_api_key:
raise ValueError("DEEPSEEK_API_KEY1环境变量未设置")
# 初始化ChatOpenAI实例兼容OpenAI接口
llm = ChatOpenAI(
base_url=deepseek_base_url,
api_key=deepseek_api_key,
model="deepseek-chat",
temperature=0.7,
max_tokens=1000
)
print("✅ DeepSeek LLM初始化成功")
return llm
except Exception as e:
print(f"❌ 初始化DeepSeek LLM时出错: {e}")
traceback.print_exc()
return None
def initialize_tts():
"""初始化语音合成"""
try:
# 设置DashScope API密钥
dashscope_api_key = os.getenv('DASHSCOPE_API_KEY')
if not dashscope_api_key:
raise ValueError("DASHSCOPE_API_KEY环境变量未设置")
dashscope.api_key = dashscope_api_key
print("✅ CosyVoice语音合成初始化成功")
except Exception as e:
print(f"❌ 初始化语音合成时出错: {e}")
traceback.print_exc()
def get_config_status():
"""获取配置状态"""
config_status = {
'deepseek': {
'api_key_set': bool(os.getenv('DEEPSEEK_API_KEY1')),
'base_url_set': bool(os.getenv('base_url1')),
'status': 'configured' if os.getenv('DEEPSEEK_API_KEY1') else 'missing_api_key'
},
'dashscope': {
'api_key_set': bool(os.getenv('DASHSCOPE_API_KEY')),
'status': 'configured' if os.getenv('DASHSCOPE_API_KEY') else 'missing_api_key'
},
'env_file_exists': os.path.exists(ENV_PATH)
}
return config_status
def get_system_prompt():
"""获取系统提示词"""
return """你是一名专业的心血管健康顾问,拥有丰富的医学知识和临床经验。你的任务是:
1. **专业准确**:基于最新的医学研究和临床指南提供准确信息
2. **通俗易懂**:用通俗易懂的语言解释医学术语和概念
3. **个性化建议**:根据用户的具体情况提供个性化建议
4. **预防为主**:强调心血管疾病的预防和早期干预
5. **安全提醒**:明确指出哪些情况需要立即就医
请保持回答的专业性、准确性和实用性,同时要富有同理心和耐心。"""
def synthesize_speech(text):
"""将文本合成为语音并返回base64编码的音频"""
try:
if not text or len(text.strip()) == 0:
raise ValueError("文本内容为空")
print(f"🔊 开始语音合成,文本长度: {len(text)} 字符")
# 创建语音合成器实例
# 使用cosyvoice-v2模型longxiaochun_v2音色MP3格式
synthesizer = SpeechSynthesizer(
model="cosyvoice-v2",
voice="longxiaochun_v2",
format=AudioFormat.MP3_22050HZ_MONO_256KBPS,
speech_rate=1.0,
pitch_rate=1.0,
volume=50
)
# 同步调用语音合成
# 注意:文本长度可能有限制,如果太长需要分段处理
max_text_length = 2000 # CosyVoice单次调用的文本长度限制
if len(text) > max_text_length:
print(f"⚠️ 文本长度超过{max_text_length}字符,将进行分段处理")
# 简单分段:按句号、问号、感叹号分段
segments = []
current_segment = ""
for char in text:
current_segment += char
if char in ['', '', '', '.', '!', '?'] and len(current_segment) > 100:
segments.append(current_segment)
current_segment = ""
if current_segment:
segments.append(current_segment)
# 合并音频数据
audio_data = b""
for i, segment in enumerate(segments):
print(f" 合成第 {i+1}/{len(segments)} 段,长度: {len(segment)} 字符")
segment_audio = synthesizer.call(segment.strip())
audio_data += segment_audio
else:
# 直接合成
audio_data = synthesizer.call(text.strip())
print(f"✅ 语音合成完成,音频大小: {len(audio_data)} 字节")
# 将音频数据编码为base64
audio_base64 = base64.b64encode(audio_data).decode('utf-8')
return audio_base64
except Exception as e:
print(f"❌ 语音合成失败: {e}")
traceback.print_exc()
return None
# 全局变量
llm = None
@app.route('/')
def home():
"""主页面 - 语音助手界面"""
return render_template('voice_index.html')
@app.route('/api/health', methods=['GET'])
def health_check():
"""健康检查端点"""
config_status = get_config_status()
# 检查整体健康状态
llm_ready = llm is not None
tts_ready = dashscope.api_key is not None
overall_healthy = llm_ready and tts_ready
return jsonify({
'status': 'healthy' if overall_healthy else 'degraded',
'service': 'CardioAI Voice Assistant',
'llm_initialized': llm_ready,
'dashscope_initialized': tts_ready,
'config_status': config_status,
'missing_config': {
'deepseek': not config_status['deepseek']['api_key_set'],
'dashscope': not config_status['dashscope']['api_key_set']
},
'setup_required': not config_status['deepseek']['api_key_set'] or not config_status['dashscope']['api_key_set'],
'setup_instructions': '请配置.env文件中的API密钥' if not config_status['deepseek']['api_key_set'] or not config_status['dashscope']['api_key_set'] else '配置完成'
})
@app.route('/api/ask', methods=['POST'])
def ask_question():
"""问答端点 - 处理用户问题并返回文本和语音回答"""
global llm
try:
# 获取用户问题
if request.is_json:
data = request.get_json()
question = data.get('question', '').strip()
else:
question = request.form.get('question', '').strip()
if not question:
return jsonify({
'status': 'error',
'message': '请提供问题内容'
}), 400
print(f"🤔 用户提问: {question[:100]}...")
# 确保LLM已初始化
if llm is None:
print("⚠️ LLM未初始化尝试重新初始化")
llm = initialize_llm()
if llm is None:
return jsonify({
'status': 'error',
'message': '语言模型未初始化,请检查配置'
}), 503
# 构建完整的消息
system_prompt = get_system_prompt()
messages = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": question}
]
# 调用DeepSeek API获取回答
print("🧠 正在生成回答...")
response = llm.invoke(messages)
text_answer = response.content if hasattr(response, 'content') else str(response)
print(f"✅ 回答生成完成,长度: {len(text_answer)} 字符")
# 语音合成
audio_base64 = synthesize_speech(text_answer)
if audio_base64 is None:
print("⚠️ 语音合成失败,仅返回文本回答")
return jsonify({
'status': 'success',
'text_answer': text_answer,
'audio_base64': None,
'message': '语音合成失败,仅返回文本回答'
})
# 返回结果
return jsonify({
'status': 'success',
'text_answer': text_answer,
'audio_base64': audio_base64,
'audio_format': 'mp3',
'audio_sample_rate': '22050Hz'
})
except Exception as e:
print(f"❌ 处理问题时出错: {e}")
traceback.print_exc()
return jsonify({
'status': 'error',
'message': f'处理问题时出错: {str(e)}'
}), 500
def init_app():
"""初始化应用"""
print("=" * 60)
print("🎤 CardioAI - 心血管健康语音助手")
print("=" * 60)
# 加载环境变量
if not load_environment_variables():
print("⚠️ 环境变量加载失败,某些功能可能无法使用")
# 初始化LLM
global llm
llm = initialize_llm()
# 初始化语音合成
initialize_tts()
print("\n📡 API端点:")
print(" GET / - 语音助手界面")
print(" GET /api/health - 健康检查")
print(" POST /api/ask - 提问并获取语音回答")
print(f"\n🧠 LLM状态: {'已初始化' if llm is not None else '未初始化'}")
print(f"🔊 语音合成: {'已初始化' if dashscope.api_key else '未初始化'}")
if __name__ == '__main__':
# 初始化应用
init_app()
# 运行Flask应用
print(f"\n🌍 启动服务器: http://127.0.0.1:5002")
print(" 按 Ctrl+C 停止\n")
app.run(
host='0.0.0.0',
port=5002,
debug=True,
threaded=True
)
else:
# 用于WSGI部署
init_app()