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Update ocr_engine.py
Browse files- ocr_engine.py +5 -3
ocr_engine.py
CHANGED
@@ -2,9 +2,9 @@ from transformers import TrOCRProcessor, VisionEncoderDecoderModel
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from PIL import Image
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import re
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# Load
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processor = TrOCRProcessor.from_pretrained("microsoft/trocr-
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model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-
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def extract_weight(image: Image.Image) -> str:
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image = image.convert("RGB")
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@@ -12,10 +12,12 @@ def extract_weight(image: Image.Image) -> str:
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generated_ids = model.generate(pixel_values, max_length=32)
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full_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
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cleaned = full_text.lower().replace(" ", "")
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match = re.search(r"(\d+(\.\d+)?)", cleaned)
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weight = match.group(1) if match else None
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if any(u in cleaned for u in ["kg", "kgs", "kilogram", "kilo"]):
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unit = "kg"
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elif any(u in cleaned for u in ["g", "gram", "grams"]):
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from PIL import Image
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import re
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# Load lightweight, fast, public model
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processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-handwritten")
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model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-handwritten")
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def extract_weight(image: Image.Image) -> str:
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image = image.convert("RGB")
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generated_ids = model.generate(pixel_values, max_length=32)
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full_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
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# Extract number
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cleaned = full_text.lower().replace(" ", "")
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match = re.search(r"(\d+(\.\d+)?)", cleaned)
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weight = match.group(1) if match else None
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# Detect unit
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if any(u in cleaned for u in ["kg", "kgs", "kilogram", "kilo"]):
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unit = "kg"
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elif any(u in cleaned for u in ["g", "gram", "grams"]):
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