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from typing import Dict, List, Any |
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from transformers import pipeline |
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import holidays |
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import sys |
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import os |
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class EndpointHandler: |
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def __init__(self, path=""): |
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self.pipeline = pipeline("text-classification", model=path) |
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self.holidays = holidays.US() |
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def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]: |
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""" |
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data args: |
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inputs (:obj: `str`) |
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date (:obj: `str`) |
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Return: |
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A :obj:`list` | `dict`: will be serialized and returned |
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""" |
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os.system('echo $PWD') |
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os.system('python --version') |
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os.system('python3 --version') |
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os.system('ls') |
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os.system('ls huggingface_inference_toolkit') |
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os.system('ps -ef') |
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os.system('uname -a') |
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os.system('cat webservice_starlette.py') |
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inputs = data.pop("inputs", data) |
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date = data.pop("date", None) |
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if date is not None and date in self.holidays: |
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return [{"label": "happy", "score": 1}] |
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prediction = self.pipeline(inputs) |
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return prediction |
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