Update utils.py

utils.py

@@ -28,7 +28,7 @@ logger = logging.getLogger(__name__)
 load_dotenv()
 
 ocr_model = PaddleOCR(lang='en')
-nlp_ner = spacy.load("en_pipeline")
+# nlp_ner = spacy.load("en_pipeline")
 detector = YOLO('best.pt')
 vehicle = YOLO('yolov8x.pt')
 
@@ -140,24 +140,24 @@ def upload_to_s3(
         return None
 
 
-def ner_recog(text:str) -> dict:
-    """
-        Extract entities from text using SpaCy and return them as JSON.
+# def ner_recog(text:str) -> dict:
+#     """
+#         Extract entities from text using SpaCy and return them as JSON.
 
-        Args:
-        - text: The input text.
+#         Args:
+#         - text: The input text.
 
-        Returns:
-        - dict: A dictionary containing the extracted entities in JSON format.
-    """
-    # Load SpaCy model
-    # Process the text
-    doc = nlp_ner(text)
+#         Returns:
+#         - dict: A dictionary containing the extracted entities in JSON format.
+#     """
+#     # Load SpaCy model
+#     # Process the text
+#     doc = nlp_ner(text)
 
-    # Extract entities and format them as JSON
-    entities = [{ent.label_ : ent.text} for ent in doc.ents]
+#     # Extract entities and format them as JSON
+#     entities = [{ent.label_ : ent.text} for ent in doc.ents]
 
-    return {"entities": entities}
+#     return {"entities": entities}
 
 def detect_licensePlate(img: str) -> dict:
     image = Image.open(img)