Update pipeline.py

pipeline.py

@@ -5,18 +5,22 @@ import os
 import json
 import numpy as np
 
+print('PIPELINE')
+
 class PreTrainedPipeline:
     def __init__(self, path=""):
         # IMPLEMENT_THIS
         # Preload all the elements you are going to need at inference.
         # For instance your model, processors, tokenizer that might be needed.
         # This function is only called once, so do all the heavy processing I/O here"""
+        print('init')
         self.model = load_learner(os.path.join(path, "model.pkl"))
         with open(os.path.join(path, "config.json")) as config:
             config = json.load(config)
         self.labels = config["labels"]
 
     def __call__(self, inputs: "Image.Image") -> List[Dict[str, Any]]:
+        print('call')
         """
         Args:
             inputs (:obj:`PIL.Image`):