add logging format

transcribe/whisper_llm_serve.py

@@ -264,8 +264,9 @@ class PyWhiperCppServe(ServeClientBase):
         transcribe_fut = self._pool.submit(
             PywhisperInference.transcribe, audio_buffer.tobytes(), self.language)
 
-        log_block("Whisper transcrible time", f"{(time.perf_counter() - start_time):.3f}", "s")
         segments = transcribe_fut.result()
+        log_block("Whisper transcrible time", f"{(time.perf_counter() - start_time):.3f}", "s")
+       
         return segments
     
     def translate_text(self, text):
@@ -277,8 +278,9 @@ class PyWhiperCppServe(ServeClientBase):
         translate_fut = self._pool.submit(
             PywhisperInference.translate, text, self.language, self.dst_lang)
      
+        ret =   translate_fut.result()
         log_block("LLM translate time", f"{(time.perf_counter() - start_time):.3f}", "s")
-        return  translate_fut.result()
+        return ret
      
     def _segments_split(self, segments, audio_buffer: np.ndarray):
         """根据左边第一个标点符号来将序列拆分成 观察段 和 剩余部分"""