Update app.py

app.py

@@ -1,5 +1,5 @@
+
 import streamlit as st
-# from transformers import pipeline
 from PIL import Image
 import face_recognition
 import cv2
@@ -59,13 +59,17 @@ if file_name is not None:
                 
             y1, x2, y2, x1 = faceLoc
             y1, x2, y2, x1 = (y1 * 4), (x2 * 4), (y2 * 4) ,(x1 * 4)
-            cv2.rectangle(test_image , (x1, y1), (x2, y2), (0, 255, 0), 2)
-            cv2.rectangle(test_image , (x1, y2 - 35), (x2, y2), (0, 255, 0), cv2.FILLED)
-            cv2.putText(test_image , name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
             
-            st.image(test_image , use_column_width=True, output_format="PNG")
+            # Make a copy of the image array before drawing on it
+            image_copy = image.copy()
+            
+            cv2.rectangle(image_copy, (x1, y1), (x2, y2), (0, 255, 0), 2)
+            cv2.rectangle(image_copy, (x1, y2 - 35), (x2, y2), (0, 255, 0), cv2.FILLED)
+            cv2.putText(image_copy, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
+            
+        st.image(image_copy, use_column_width=True, output_format="PNG")
     else:
-            st.warning("No faces detected in the image. Face recognition failed.")
+        st.warning("No faces detected in the image. Face recognition failed.")
 
     # image = Image.open(file_name)
     # col1.image(image, use_column_width=True)