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from transformers import pipeline | |
class ImageCaptioning: | |
def __init__(self): | |
self.captioner = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large") | |
def generate_caption(self, image_data): | |
try: | |
caption = self.captioner(image_data)[0]['generated_text'] | |
return caption | |
except Exception as e: | |
print(f"Error during image captioning: {e}") | |
return "Error processing image." |