Update whisper_cs.py

whisper_cs.py

@@ -46,7 +46,6 @@ def format_audio(audio_path):
         input_audio = torch.mean(input_audio, dim=0, keepdim=True)
     resampler = torchaudio.transforms.Resample(orig_freq=sample_rate, new_freq=16000)
     input_audio = resampler(input_audio)
-    print('resampled')
     return input_audio.squeeze(), 16000
     
 def post_process_transcription(transcription, max_repeats=2): 
@@ -105,7 +104,7 @@ def cleanup_temp_files(*file_paths):
         if path and os.path.exists(path):
             os.remove(path)
 
-faster_model = WhisperModel(MODEL_PATH_V2_FAST, device=DEVICE, compute_type="int8")
+faster_model = WhisperModel(MODEL_PATH_V2_FAST, device=DEVICE, compute_type="float16")
 
 def load_whisper_model(model_path: str):
     device = "cuda" if torch.cuda.is_available() else "cpu"