优化了部分代码

src/chat/message_receive/message.py

@@ -162,7 +162,7 @@ class MessageRecv(Message):
                 self.has_picid = False
                 self.is_picid = False
                 self.is_emoji = False
-                self.is_voice == True
+                self.is_voice = True
                 if isinstance(segment.data, str):
                     return await get_voice_text(segment.data)
                 return "[发了一段语音，网卡了加载不出来]"
@@ -247,7 +247,7 @@ class MessageRecvS4U(MessageRecv):
                 self.has_picid = False
                 self.is_picid = False
                 self.is_emoji = False
-                self.is_voice == True
+                self.is_voice = True
                 if isinstance(segment.data, str):
                     return await get_voice_text(segment.data)
                 return "[发了一段语音，网卡了加载不出来]"

src/chat/utils/utils_voice.py

@@ -17,7 +17,6 @@ from src.llm_models.utils_model import LLMRequest
 
 from src.common.logger import get_logger
 from rich.traceback import install
-import traceback
 install(extra_lines=3)
 
 logger = get_logger("chat_voice")
@@ -25,7 +24,7 @@ logger = get_logger("chat_voice")
 async def get_voice_text(voice_base64: str) -> str:
     """获取音频文件描述"""
     try:
-        # 计算图片哈希
+        # 解码base64音频数据
         # 确保base64字符串只包含ASCII字符
         if isinstance(voice_base64, str):
             voice_base64 = voice_base64.encode("ascii", errors="ignore").decode("ascii")
@@ -40,7 +39,6 @@ async def get_voice_text(voice_base64: str) -> str:
 
         return f"[语音：{text}]"
     except Exception as e:
-        traceback.print_exc()
         logger.error(f"语音转文字失败: {str(e)}")
         return "[语音]"
 

src/llm_models/utils_model.py

@@ -668,15 +668,21 @@ class LLMRequest:
 
     async def _build_formdata_payload(self, file_bytes: str, file_format: str):
         """构建form-data请求体"""
-        # 非常丑陋的方法，先将文件写入本地，然后再读取，应该有更好的办法
-        with open(f"file.{file_format}","wb") as f:
-            f.write(file_bytes)
-        
+        # 目前只适配了音频文件
+        # 如果后续要支持其他类型的文件，可以在这里添加更多的处理逻辑
         data = aiohttp.FormData()
+        content_type_list = {
+            "wav": "audio/wav",
+            "mp3": "audio/mpeg",
+            "ogg": "audio/ogg",
+            "flac": "audio/flac",
+            "aac": "audio/aac",
+        }
+        
         data.add_field(
-            "file",open(f"file.{file_format}","rb"),
+            "file",io.BytesIO(file_bytes),
             filename=f"file.{file_format}",
-            content_type='audio/wav'
+            content_type=f'audio/{content_type_list[file_format]}' # 根据实际文件类型设置
         )
         data.add_field(
             "model", self.model_name