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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 | |