diff --git a/private_gpt/components/ocr_components/TextExtraction.py b/private_gpt/components/ocr_components/TextExtraction.py
index 1fb58e5f..ae6069d5 100644
--- a/private_gpt/components/ocr_components/TextExtraction.py
+++ b/private_gpt/components/ocr_components/TextExtraction.py
@@ -11,7 +11,7 @@ from transformers import AutoModelForObjectDetection
 from transformers import TableTransformerForObjectDetection
 
 from typing import Literal
-
+from injector import inject, singleton
 from private_gpt.components.ocr_components.table_ocr import GetOCRText
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -26,8 +26,9 @@ class MaxResize(object):
         resized_image = image.resize((int(round(scale*width)), int(round(scale*height))))
         return resized_image
 
-
+@singleton
 class ImageToTable:
+    @inject
     def __init__(self, tokens:list=None, detection_class_thresholds:dict=None) -> None:
         self._table_model = "microsoft/table-transformer-detection"
         self._structure_model = "microsoft/table-structure-recognition-v1.1-all"
diff --git a/private_gpt/components/ocr_components/table_ocr.py b/private_gpt/components/ocr_components/table_ocr.py
index f8248dde..a14bc61e 100644
--- a/private_gpt/components/ocr_components/table_ocr.py
+++ b/private_gpt/components/ocr_components/table_ocr.py
@@ -3,10 +3,12 @@ import cv2
 import torch
 from doctr.models import ocr_predictor
 from doctr.io import DocumentFile
-
+from injector import singleton, inject
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
+@singleton
 class GetOCRText:
+    @inject
     def __init__(self) -> None:
         self._image = None
         # self.ocr = PaddleOCR(use_angle_cls=True, lang='en')
diff --git a/private_gpt/server/ingest/ingest_router.py b/private_gpt/server/ingest/ingest_router.py
index 75fd965c..7472ac7b 100644
--- a/private_gpt/server/ingest/ingest_router.py
+++ b/private_gpt/server/ingest/ingest_router.py
@@ -177,75 +177,6 @@ def delete_file(
             status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="Internal Server Error")
 
 
-# @ingest_router.post("/ingest/file", response_model=IngestResponse, tags=["Ingestion"])
-# def ingest_file(
-#         request: Request,
-#         log_audit: models.Audit = Depends(deps.get_audit_logger),
-
-#         db: Session = Depends(deps.get_db),
-#         file: UploadFile = File(...),
-#         current_user: models.User = Security(
-#             deps.get_current_user,
-#             scopes=[Role.ADMIN["name"], Role.SUPER_ADMIN["name"]],
-#         )) -> IngestResponse:
-#     """Ingests and processes a file, storing its chunks to be used as context."""
-#     service = request.state.injector.get(IngestService)
-#     print("-------------------------------------->",file)
-#     try:
-#         file_ingested = crud.documents.get_by_filename(db, file_name=file.filename)
-#         if file_ingested:
-#             raise HTTPException(
-#                 status_code=status.HTTP_409_CONFLICT,
-#                 detail="File already exists. Choose a different file.",
-#             )
-        
-#         if file.filename is None:
-#             raise HTTPException(
-#                 status_code=status.HTTP_400_BAD_REQUEST,
-#                 detail="No file name provided",
-#             )
-
-#         # try:
-#         docs_in = schemas.DocumentCreate(filename=file.filename, uploaded_by=current_user.id, department_id=current_user.department_id)
-#         crud.documents.create(db=db, obj_in=docs_in)
-#         # except Exception as e:
-#         #     raise HTTPException(
-#         #         status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-#         #         detail="Unable to upload file.",
-#         #     )
-#         upload_path = Path(f"{UPLOAD_DIR}/{file.filename}")
-
-#         with open(upload_path, "wb") as f:
-#             f.write(file.file.read())
-
-#         with open(upload_path, "rb") as f:
-#             ingested_documents = service.ingest_bin_data(file.filename, f)
-#         logger.info(f"{file.filename} is uploaded by the {current_user.fullname}.")
-#         response = IngestResponse(
-#             object="list", model="private-gpt", data=ingested_documents)
-        
-#         log_audit(model='Document', action='create',
-#                   details={
-#                       'filename': f"{file.filename} uploaded successfully",
-#                       'user': current_user.fullname,
-#                   }, user_id=current_user.id)
-        
-#         return response
-#     except HTTPException:
-#         print(traceback.print_exc())
-#         raise
-
-#     except Exception as e:
-#         print(traceback.print_exc())
-#         log_audit(model='Document', action='create',
-#                   details={"status": 500, "detail": "Internal Server Error: Unable to ingest file.", }, user_id=current_user.id)
-#         logger.error(f"There was an error uploading the file(s): {str(e)}")
-#         raise HTTPException(
-#             status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-#             detail="Internal Server Error: Unable to ingest file.",
-#         )
-
-
 async def common_ingest_logic(
     request: Request,
     db: Session,