Update ocr_engine.py

ocr_engine.py

@@ -1,35 +1,17 @@
 from transformers import TrOCRProcessor, VisionEncoderDecoderModel
-from PIL import Image, ImageEnhance
-import re
+from PIL import Image
+import torch
 
-# ✅ Load model optimized for printed text (NOT handwritten)
-processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-printed")
-model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-printed")
+# Load processor and model only once
+processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-handwritten")
+model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-handwritten")
 
-def extract_weight(image: Image.Image) -> str:
-    # Step 1: Preprocess image to enhance readability
-    image = image.convert("L")  # grayscale
-    image = ImageEnhance.Contrast(image).enhance(2.0)
-    image = ImageEnhance.Sharpness(image).enhance(2.5)
-    image = image.convert("RGB")
-
-    # Step 2: Run TrOCR
-    pixel_values = processor(images=image, return_tensors="pt").pixel_values
-    generated_ids = model.generate(pixel_values, max_length=32)
-    full_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
-    print("OCR Output:", full_text)
-
-    # Step 3: Extract numeric value
-    cleaned = full_text.lower().replace(" ", "")
-    match = re.search(r"(\d+(\.\d+)?)", cleaned)
-    weight = match.group(1) if match else None
-
-    # Step 4: Determine unit
-    if any(u in cleaned for u in ["kg", "kgs", "kilo"]):
-        unit = "kg"
-    elif any(u in cleaned for u in ["g", "gram", "grams"]):
-        unit = "grams"
-    else:
-        unit = "kg" if weight and float(weight) >= 20 else "grams"
-
-    return f"{weight} {unit}" if weight else "No valid weight detected"
+def extract_weight(image):
+    try:
+        # Resize or preprocess if needed
+        pixel_values = processor(images=image, return_tensors="pt").pixel_values
+        generated_ids = model.generate(pixel_values)
+        text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
+        return text.strip()
+    except Exception as e:
+        return f"Error: {str(e)}"