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