添加API服务模块

api/services/asr_service.py

@@ -0,0 +1,64 @@
+"""
+ASR 服务：语音转文字
+"""
+import os
+import base64
+from typing import Optional, Any, Coroutine
+from openai import OpenAI
+
+
+class ASRService:
+    """ASR 服务（语音转文字）"""
+    
+    def __init__(self):
+        api_key = os.getenv("OPENAI_API_KEY", "")
+        if api_key:
+            self.client = OpenAI(api_key=api_key)
+        else:
+            self.client = None
+    
+    async def transcribe(self, audio_base64: str) -> str | None:
+        """
+        转写音频为文字
+        
+        Args:
+            audio_base64: Base64 编码的音频数据
+        
+        Returns:
+            转写文本
+        """
+        if not self.client:
+            # 如果没有配置 API Key，返回模拟数据
+            return "这是模拟的转写文本（请配置 OPENAI_API_KEY 以使用实际 ASR 功能）"
+        
+        try:
+            # 解码 Base64 音频
+            audio_bytes = base64.b64decode(audio_base64)
+            
+            # 保存临时文件
+            import tempfile
+            with tempfile.NamedTemporaryFile(suffix=".m4a", delete=False) as tmp_file:
+                tmp_file.write(audio_bytes)
+                tmp_file_path = tmp_file.name
+            
+            try:
+                # 调用 OpenAI Whisper API
+                with open(tmp_file_path, "rb") as audio_file:
+                    transcript = self.client.audio.transcriptions.create(
+                        model="whisper-1",
+                        file=audio_file,
+                        language="zh"  # 中文
+                    )
+                return transcript.text
+            finally:
+                # 清理临时文件
+                import os
+                if os.path.exists(tmp_file_path):
+                    os.remove(tmp_file_path)
+        except Exception as e:
+            # 出错时返回错误信息
+            return f"转写失败: {str(e)}"
+
+
+# 全局实例
+asr_service = ASRService()