fix: print using model 2

whisper_streaming_custom/backends.py

@@ -143,7 +143,7 @@ class FasterWhisperASR(ASRBase):
         device = "cuda" if torch and torch.cuda.is_available() else "cpu"
         compute_type = "float16" if device == "cuda" else "float32"
 
-        logger.info(f"Loading whisper model {model_size_or_path} on {device} with compute type {compute_type}")
+        print(f"Loading whisper model {model_size_or_path} on {device} with compute type {compute_type}")
 
         model = WhisperModel(
             model_size_or_path,