DOC: Remove setup instructions from docs website and create unified s…

backend/app/ner/test.py

@@ -4,6 +4,7 @@
 import cv2
 import time
 
+
 # Run the ner_onnx.py to create the onnx model in the models folder
 def ner_marking(text1):
     # change the path is required
@@ -167,7 +168,7 @@ def scanning(names):
                 gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30)
             )
 
-            for (x, y, w, h) in faces:
+            for x, y, w, h in faces:
                 cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 255), 2)
                 cv2.putText(
                     frame,

backend/app/routes/images.py

@@ -287,9 +287,11 @@ def get_class_ids(path: str = Query(...)):
         class_ids = get_objects_db(path)
         return ClassIDsResponse(
             success=True,
-            message="Successfully retrieved class IDs"
-            if class_ids
-            else "No class IDs found for the image",
+            message=(
+                "Successfully retrieved class IDs"
+                if class_ids
+                else "No class IDs found for the image"
+            ),
             data=class_ids if class_ids else "None",
         )
 

backend/app/schemas/facetagging.py

@@ -1,6 +1,7 @@
 from pydantic import BaseModel
 from typing import List, Dict
 
+
 # Response Model
 class SimilarPair(BaseModel):
     image1: str