Update pipeline.py

pipeline.py

@@ -5,6 +5,7 @@ import os
 from fastai.learner import load_learner
 from helpers import is_cat
 
+def is_cat(x): return x[0].isupper()
 
 class PreTrainedPipeline():
     def __init__(self, path=""):
@@ -12,6 +13,7 @@ class PreTrainedPipeline():
         # 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"""
+        def is_cat(x): return x[0].isupper()
         self.model = load_learner(os.path.join(path, "model.pkl"))
         with open(os.path.join(path, "config.json")) as config:
             config = json.load(config)
@@ -27,6 +29,7 @@ class PreTrainedPipeline():
             A :obj:`list`:. The list contains items that are dicts should be liked {"label": "XXX", "score": 0.82}
                 It is preferred if the returned list is in decreasing `score` order
         """
+        def is_cat(x): return x[0].isupper()
         # IMPLEMENT_THIS
         # FastAI expects a np array, not a PIL Image.
         _, _, preds = self.model.predict(np.array(inputs))