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| from PIL import Image | |
| from transformers import BlipProcessor , BlipForConditionalGeneration | |
| import torch | |
| processor = BlipProcessor.from_pretrained("src/models/Caption") | |
| model = BlipForConditionalGeneration.from_pretrained("src/models/Caption") | |
| def generateCaption(image_path): | |
| image = Image.open(image_path).convert("RGB") | |
| inputs = processor(images = image , return_tensors="pt") | |
| output = model.generate(**inputs) | |
| caption = processor.decode(output[0], skip_special_tokens = True) | |
| return caption |