Initial commit: CardioAI - 心血管疾病智能辅助系统

module3_voice_assistant/voice_assistant_app.py

@@ -0,0 +1,84 @@
+from flask import Flask, request, jsonify, render_template
+import os
+import base64
+from dotenv import load_dotenv
+from langchain_openai import ChatOpenAI
+from dashscope.audio.tts_v2 import SpeechSynthesizer, AudioFormat
+import dashscope
+
+# 加载环境变量
+ENV_PATH = "D:\\AI_Coding\\aicodes\\.env"
+load_dotenv(ENV_PATH)
+
+# 初始化DashScope API Key
+dashscope.api_key = os.getenv("DASHSCOPE_API_KEY")
+
+app = Flask(__name__)
+
+# 初始化DeepSeek LLM
+def get_llm():
+    llm = ChatOpenAI(
+        base_url=os.getenv("base_url1"),
+        api_key=os.getenv("DEEPSEEK_API_KEY1"),
+        model="deepseek-chat",
+        temperature=0,
+    )
+    return llm
+
+# 系统提示词
+system_prompt = "你是一位专业的心血管健康顾问，专注于提供科学、准确的心血管疾病预防和健康管理建议。请基于医学知识回答用户的问题，保持专业、友好的态度。"
+
+@app.route('/')
+def home():
+    return render_template('voice_index.html')
+
+@app.route('/ask_cardio', methods=['POST'])
+def ask_cardio():
+    try:
+        # 接收用户问题
+        data = request.json
+        user_question = data.get('question', '')
+        
+        if not user_question:
+            return jsonify({'error': '请输入问题'}), 400
+        
+        # 初始化LLM
+        llm = get_llm()
+        
+        # 构建完整的prompt
+        full_prompt = f"{system_prompt}\n\n用户问题：{user_question}"
+        
+        # 获取LLM回答
+        response = llm.invoke(full_prompt)
+        text_answer = response.content
+        
+        # 使用CosyVoice合成语音
+        model = "cosyvoice-v2"
+        voice = "longxiaochun_v2"
+        
+        # 初始化SpeechSynthesizer
+        synthesizer = SpeechSynthesizer(
+            model=model,
+            voice=voice,
+            format=AudioFormat.MP3_22050HZ_MONO_256KBPS
+        )
+        
+        # 同步调用合成语音
+        audio_data = synthesizer.call(text_answer)
+        
+        # 将音频数据转换为Base64编码
+        audio_base64 = base64.b64encode(audio_data).decode('utf-8')
+        
+        # 返回结果
+        response_data = {
+            'text_answer': text_answer,
+            'audio_base64': audio_base64
+        }
+        
+        return jsonify(response_data)
+        
+    except Exception as e:
+        return jsonify({'error': str(e)}), 500
+
+if __name__ == '__main__':
+    app.run(debug=True, host='0.0.0.0', port=5001)