philschmid HF staff commited on
Commit
07b4bca
1 Parent(s): 394ddf5

add custom pipeline

Browse files
__pycache__/pipeline.cpython-37.pyc ADDED
Binary file (1.14 kB). View file
 
pipeline.py ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from typing import Dict, List, Any
2
+ from transformers import pipeline
3
+ import holidays
4
+
5
+ class PreTrainedPipeline():
6
+ def __init__(self, path=""):
7
+ self.pipeline = pipeline("text-classification",model=path)
8
+ self.holidays = holidays.US()
9
+
10
+ def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
11
+ """
12
+ data args:
13
+ inputs (:obj: `str`)
14
+ date (:obj: `str`)
15
+ Return:
16
+ A :obj:`list` | `dict`: will be serialized and returned
17
+ """
18
+ # get inputs
19
+ inputs = data.pop("inputs",data)
20
+ date = data.pop("date", None)
21
+
22
+ # check if date exists and if it is holiday
23
+ if date is not None and date in self.holidays:
24
+ return [{"label": "happy", "score": 1}]
25
+
26
+
27
+ # run normal prediction
28
+ prediction = self.pipeline(inputs)
29
+ return prediction
requirements.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ holidays