| from transformers import BlipProcessor, BlipForConditionalGeneration | |
| from PIL import Image | |
| import torch | |
| class ImagePromptModel: | |
| def __init__(self): | |
| self.processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base") | |
| self.model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base") | |
| def generate_prompt(self, image_path): | |
| image = Image.open(image_path).convert('RGB') | |
| inputs = self.processor(images=image, return_tensors="pt") | |
| out = self.model.generate(**inputs) | |
| return self.processor.decode(out[0], skip_special_tokens=True) | |