Spaces:
Sleeping
Sleeping
File size: 808 Bytes
5551822 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 |
from transformers import AutoProcessor,AutoModelForImageTextToText
from PIL import Image
import sys
from exception import MyException
async def image_to_text(image_path:str)->str:
try:
image=Image.open(image_path).convert('RGB')
processor = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
model = AutoModelForImageTextToText.from_pretrained("Salesforce/blip-image-captioning-large")
inputs = processor(images=image, return_tensors="pt")
# Generate a caption
generated_ids = model.generate(**inputs)
generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0].strip()
return generated_text
except Exception as e:
raise MyException(f"Error in image_to_text: {str(e)}")
|