Update ocr_engine.py

ocr_engine.py

@@ -1,36 +1,28 @@
-from transformers import TrOCRProcessor, VisionEncoderDecoderModel
-from PIL import Image, ImageEnhance
-import re
+import cv2
+import pytesseract
+import numpy as np
+from PIL import Image
 
-# Load TrOCR model (works without apt.txt)
-processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-handwritten")
-model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-handwritten")
+def preprocess_image(pil_image):
+    image = np.array(pil_image.convert("RGB"))
+    gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
+    blurred = cv2.GaussianBlur(gray, (3, 3), 0)
+    _, thresh = cv2.threshold(blurred, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
+    return thresh
 
-def extract_weight(image: Image.Image) -> str:
-    # Step 1: Preprocess for OCR
-    image = image.convert("L")  # grayscale
-    image = ImageEnhance.Contrast(image).enhance(2.0)
-    image = ImageEnhance.Sharpness(image).enhance(2.5)
-    image = image.convert("RGB")
+def extract_weight(pil_image):
+    try:
+        processed_img = preprocess_image(pil_image)
+        config = "--psm 7 -c tessedit_char_whitelist=0123456789."
+        text = pytesseract.image_to_string(processed_img, config=config)
+        print("OCR Raw:", text)
 
-    # Step 2: Run OCR
-    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]
+        numbers = ''.join(filter(lambda x: x in "0123456789.", text))
+        if not numbers:
+            return "No valid weight detected"
 
-    print("OCR Output:", full_text)
-
-    # Step 3: Extract number
-    cleaned = full_text.lower().replace(" ", "")
-    match = re.search(r"(\d+(\.\d+)?)", cleaned)
-    weight = match.group(1) if match else None
-
-    # Step 4: Infer 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"
+        weight_val = float(numbers)
+        unit = "kg" if weight_val >= 20 else "grams"
+        return f"{weight_val} {unit}"
+    except Exception as e:
+        return f"Error: {str(e)}"