from transformers import TrOCRProcessor, VisionEncoderDecoderModel from PIL import Image # Load model + processor once processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-stage1") model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-stage1") def extract_weight(image: Image.Image) -> str: # Convert image to RGB just in case image = image.convert("RGB") # Preprocess + generate prediction pixel_values = processor(images=image, return_tensors="pt").pixel_values generated_ids = model.generate(pixel_values) # Decode output text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0] # Keep only numbers + decimal weight = ''.join(filter(lambda x: x in '0123456789.', text)) return weight.strip() if weight else "No valid weight detected"