update

README.md

@@ -13,12 +13,11 @@ license: mit
 ## whispercpp安装
 >  git clone --recurse-submodules https://github.com/absadiki/pywhispercpp.git
 >  git checkout d43237bd75076615349004270a721e3ebe1deabb
->  WHISPER_COREML=1 pip setup.py install
+>  WHISPER_COREML=1 python setup.py install
 
 
 ## Llama-cpp-python
 > git clone --recurse-submodules https://github.com/abetlen/llama-cpp-python.git 
-> cd llama-cpp-python && git checkout  0580cf273debf4a7f2efcdfd5ef092ff5cedf9b0
-> cd llama-cpp-python/vendor/llama.cpp &7 git checkout ecebbd292d741ac084cf248146b2cfb17002aa1d
+> cd llama-cpp-python && git checkout  0580cf273debf4a7f2efcdfd5ef092ff5cedf9b0 && cd vendor/llama.cpp && git checkout ecebbd292d741ac084cf248146b2cfb17002aa1d
 
 > 安装命令： CMAKE_ARGS="-DGGML_METAL=on"  pip install -e . 

transcribe/whisper_llm_serve.py

@@ -135,11 +135,14 @@ class PyWhiperCppServe(ServeClientBase):
                 logger.info("Exiting speech to text thread")
                 break
     
-            if self.frames_np is None or self.frames_np.shape[0] < self.sample_rate * 2:
+            if self.frames_np is None:
                 time.sleep(0.02)  # wait for any audio to arrive
                 continue
             
             audio_buffer = self.get_audio_chunk_for_processing()
+            if audio_buffer.shape[0] < self.sample_rate * 2:
+                time.sleep(0.02)
+                continue
             # c+= 1
             # name = f"dev-{c}.wav"
             # save_to_wave(name, audio_buffer)