Create blip_caption.py

blip_caption.py

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+from transformers import BlipProcessor, BlipForConditionalGeneration
+from PIL import Image
+
+# Load once on startup for performance
+processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
+model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
+
+def generate_caption(pil_img):
+    inputs = processor(images=pil_img, return_tensors="pt")
+    out = model.generate(**inputs)
+    caption = processor.decode(out[0], skip_special_tokens=True)
+    return caption.lower()