fix error in vad

transcribe/whisper_llm_serve.py

@@ -238,16 +238,9 @@ class PyWhiperCppServe(ServeClientBase):
     
 
     def get_audio_chunk_for_processing(self):
-        if self.frames_np.shape[0] >= self.sample_rate * 1:
-            return self.frames_np.copy()
         self.vad_merge()
-        # 计算需要填充的样本数
-        padding_length = self.sample_rate * 1 - len(self.frames_np)
-        # 创建静音填充（零值）
-        silence = np.zeros(padding_length + int(0.01 * self.sample_rate), dtype=np.float32)
-        # 拼接原始音频和静音填充
-        padded_audio = np.concatenate([silence, self.frames_np])
-        return padded_audio.copy()
+
+        return self.frames_np.copy()
 
     def stop(self):
         self._translate_thread_stop.set()