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| from transformers import BlipProcessor, BlipForConditionalGeneration | |
| _caption_model = None | |
| def get_caption_model(): | |
| global _caption_model | |
| if _caption_model is None: | |
| processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base") | |
| model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base") | |
| _caption_model = (processor, model) | |
| return _caption_model | |
| def generate_caption(image_bytes): | |
| processor, model = get_caption_model() | |
| image = Image.open(io.BytesIO(image_bytes)).convert('RGB') | |
| inputs = processor(image, return_tensors="pt") | |
| out = model.generate(**inputs) | |
| caption = processor.decode(out[0], skip_special_tokens=True) | |
| return caption |