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592b634
Delete pipeline.py
Browse files- pipeline.py +0 -27
pipeline.py
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from typing import Dict, List, Any
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from PIL import Image
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from io import BytesIO
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from transformers import pipeline
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import base64
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class PreTrainedPipeline():
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def __init__(self, path=""):
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self.pipeline=pipeline("zero-shot-image-classification",model=path)
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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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images (:obj:`PIL.Image`)
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candiates (:obj:`list`)
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Return:
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A :obj:`list`:. The list contains items that are dicts should be liked {"label": "XXX", "score": 0.82}
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"""
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inputs = data.pop("inputs", data)
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# decode base64 image to PIL
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image = Image.open(BytesIO(base64.b64decode(inputs['image'])))
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# run prediction one image wit provided candiates
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prediction = self.pipeline(images=[image], candidate_labels=inputs["candiates"])
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return prediction[0]
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