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from PIL import Image | |
from transformers import TrOCRProcessor, VisionEncoderDecoderModel | |
import torch | |
# Load once at startup | |
processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-stage1") | |
model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-stage1") | |
def extract_text_from_id(image_path): | |
image = Image.open(image_path).convert("RGB") | |
pixel_values = processor(images=image, return_tensors="pt").pixel_values | |
generated_ids = model.generate(pixel_values) | |
generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0] | |
return generated_text | |