SowmyaAndela/Image_Captioner

Install the transformers library

!pip install transformers Pillow torch torchvision torchaudio from transformers import BlipProcessor, BlipForConditionalGeneration from PIL import Image

Initialize the processor and model from Hugging Face

processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base") model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")

Load an image

image = Image.open("path_to_your_image.jpg")

Prepare the image

inputs = processor(image, return_tensors="pt")

Generate captions

outputs = model.generate(**inputs) caption = processor.decode(outputs[0],skip_special_tokens=True)

print("Generated Caption:", caption)