Claude4.8 + 华为云语音交互服务：实时语音对话助手开发实战

用户语音 → 麦克风采集 → 华为云SIS语音识别 → Claude4.8 API → 华为云SIS语音合成 → 扬声器播放

# 安装Python依赖
pip install requests pyaudio websocket-client redis

# 安装华为云SDK
pip install huaweicloudsdkcore huaweicloudsdksis

from huaweicloudsdkcore.auth.credentials import BasicCredentials
from huaweicloudsdksis.v1 import SisClient
import pyaudio
import wave

class VoiceRecognizer:
    def __init__(self, ak, sk, region, project_id):
        credentials = BasicCredentials(ak, sk)
        self.client = SisClient.new_builder() \
            .with_credentials(credentials) \
            .with_region(region) \
            .build()
        self.project_id = project_id
    
    def record_and_recognize(self, duration=5):
        """录制音频并识别"""
        # 录音参数设置
        CHUNK = 1024
        FORMAT = pyaudio.paInt16
        CHANNELS = 1
        RATE = 16000
        
        p = pyaudio.PyAudio()
        stream = p.open(format=FORMAT,
                       channels=CHANNELS,
                       rate=RATE,
                       input=True,
                       frames_per_buffer=CHUNK)
        
        print("🎤 正在聆听...")
        frames = []
        for _ in range(0, int(RATE / CHUNK * duration)):
            data = stream.read(CHUNK)
            frames.append(data)
        
        stream.stop_stream()
        stream.close()
        p.terminate()
        
        # 调用华为云SIS语音识别
        audio_data = b''.join(frames)
        # 此处调用SIS的REST API进行一句话识别
        # 实际代码需使用huaweicloudsdksis中的region和endpoint配置
        
        return "识别的文本结果"

import anthropic

class ClaudeChat:
    def __init__(self, api_key):
        self.client = anthropic.Anthropic(api_key=api_key)
        self.conversation_history = []
    
    def chat(self, user_message):
        """发送消息并获取回复"""
        self.conversation_history.append({
            "role": "user",
            "content": user_message
        })
        
        response = self.client.messages.create(
            model="claude-sonnet-4-20250514",
            max_tokens=1024,
            messages=self.conversation_history
        )
        
        reply = response.content[0].text
        self.conversation_history.append({
            "role": "assistant",
            "content": reply
        })
        
        return reply

class VoiceSynthesizer:
    def __init__(self, sis_client):
        self.client = sis_client
    
    def text_to_speech(self, text):
        """文字转语音"""
        # 调用华为云SIS语音合成接口
        # 返回音频二进制数据
        
        # 播放音频（使用pyaudio）
        print(f"🔊 正在播放回复: {text[:50]}...")
        # 播放逻辑
        
        return True

def main():
    # 初始化各模块
    recognizer = VoiceRecognizer(AK, SK, "cn-east-3", PROJECT_ID)
    chatbot = ClaudeChat(CLAUDE_API_KEY)
    synthesizer = VoiceSynthesizer(sis_client)
    
    print("🤖 语音对话助手已就绪，说'退出'结束对话")
    
    while True:
        # 1. 语音识别
        user_text = recognizer.record_and_recognize(duration=5)
        print(f"👤 用户: {user_text}")
        
        if "退出" in user_text:
            break
        
        # 2. Claude4.8处理
        reply = chatbot.chat(user_text)
        print(f"🤖 Claude: {reply}")
        
        # 3. 语音合成播放
        synthesizer.text_to_speech(reply)

if __name__ == "__main__":
    main()