smlparry
commited on
Commit
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79f86bc
1
Parent(s):
cb46fbd
Create handler and requirements.txt
Browse files- handler.py +38 -0
- requirements.txt +4 -0
handler.py
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from typing import Dict, List, Any
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from transformers import BlipProcessor, BlipForConditionalGeneration
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from PIL import Image
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import requests
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class EndpointHandler():
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def __init__(self, path=""):
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self.processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
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self.model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large")
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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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image_url (:obj: `str`): URL of the image to be captioned
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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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# get inputs
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image_url = data.pop("image_url", None)
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# check if image_url exists
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if image_url is None:
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return [{"error": "image_url not provided"}]
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# get image from URL
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try:
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raw_image = Image.open(requests.get(image_url, stream=True).raw).convert('RGB')
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except:
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return [{"error": "unable to load image from the provided URL"}]
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# unconditional image captioning
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inputs = self.processor(raw_image, return_tensors="pt")
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# generate captions
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out = self.model.generate(**inputs)
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# return the generated captions
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return [{"caption": self.processor.decode(out[0], skip_special_tokens=True)}]
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requirements.txt
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torch
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transformers
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pillow
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requests
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