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from PIL import Image
import numpy as np
from transformers import AutoProcessor, BlipForConditionalGeneration
# Load pretrained processor and model (shared for all functions)
processor = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
def caption_image(input_image: np.ndarray):
raw_image = Image.fromarray(input_image).convert('RGB')
inputs = processor(raw_image, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=50)
caption = processor.decode(outputs[0], skip_special_tokens=True)
return caption
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