Update ocr_engine.py

ocr_engine.py

@@ -1,55 +1,21 @@
 from mmocr.utils.ocr import MMOCR
-import numpy as np
-import cv2
-import re
-from PIL import Image
 
-ocr = MMOCR(det='DBPANet', recog='SAR', device='cpu')
-
-def extract_weight_from_image(pil_img):
-    try:
-        img = np.array(pil_img.convert("RGB"))[:, :, ::-1]
-        result = ocr.readtext(img, print_result=False, output=None)[0]['result']
-
-        raw_texts = []
-        weight_candidates = []
-        fallback_weight = None
-        fallback_conf = 0.0
-
-        for text, conf in result:
-            original = text
-            cleaned = text.lower().strip()
-            cleaned = cleaned.replace(",", ".")
-            cleaned = cleaned.replace("o", "0").replace("O", "0")
-            cleaned = cleaned.replace("s", "5").replace("S", "5")
-            cleaned = cleaned.replace("g", "9").replace("G", "6")
-            cleaned = cleaned.replace("kg", "").replace("kgs", "")
-            cleaned = re.sub(r"[^0-9\.]", "", cleaned)
-
-            raw_texts.append(f"{original} → {cleaned} (conf: {round(conf, 2)})")
-
-            if cleaned and cleaned.replace(".", "").isdigit() and not fallback_weight:
-                fallback_weight = cleaned
-                fallback_conf = conf
-
-            if cleaned.count(".") <= 1 and re.fullmatch(r"\d{2,4}(\.\d{1,3})?", cleaned):
-                weight_candidates.append((cleaned, conf))
-
-        if weight_candidates:
-            best_weight, best_conf = sorted(weight_candidates, key=lambda x: -x[1])[0]
-        elif fallback_weight:
-            best_weight, best_conf = fallback_weight, fallback_conf
-        else:
-            return "Not detected", 0.0, "\n".join(raw_texts)
-
-        if "." in best_weight:
-            int_part, dec_part = best_weight.split(".")
-            int_part = int_part.lstrip("0") or "0"
-            best_weight = f"{int_part}.{dec_part}"
-        else:
-            best_weight = best_weight.lstrip("0") or "0"
-
-        return best_weight, round(best_conf * 100, 2), "\n".join(raw_texts)
-
-    except Exception as e:
-        return f"Error: {str(e)}", 0.0, "OCR failed"
+# Load MMOCR model
+mmocr = MMOCR(det='DB_r18', recog='CRNN', det_config=None, recog_config=None)
+
+def extract_weight_from_image(image):
+    result = mmocr.readtext(image, output=None)
+    texts = [item['text'] for item in result]
+    debug_text = "\n".join(texts)
+
+    # Find the first valid float that could represent a weight
+    for text in texts:
+        if any(char.isdigit() for char in text):
+            cleaned = text.replace('kg', '').replace('KG', '').strip()
+            try:
+                weight = float(cleaned)
+                return str(weight), debug_text
+            except:
+                continue
+
+    return None, debug_text