Update app.py

app.py

@@ -32,9 +32,8 @@ img_file_buffer = st.camera_input("Take a picture")
 # recognise the face in the uploaded image 
 if img_file_buffer is not None:
     test_image = Image.open(img_file_buffer)
-    image = np.asarray(test_image)
-    image1 = cv2.imread(img_file_buffer)
-    
+    image  = np.asarray(test_image)
+        
     imgS = cv2.resize(image, (0, 0), None, 0.25, 0.25)
     imgS = cv2.cvtColor(imgS, cv2.COLOR_BGR2RGB)
     facesCurFrame   = face_recognition.face_locations(imgS)
@@ -53,12 +52,12 @@ if img_file_buffer is not None:
             # show the name on image to user 
             y1, x2, y2, x1 = faceLoc
             y1, x2, y2, x1 = y1 * 4, x2 * 4, y2 * 4, x1 * 4
-            cv2.rectangle(image1, (x1, y1), (x2, y2), (0, 255, 0), 2)
-            cv2.rectangle(image1, (x1, y2 - 35), (x2, y2), (0, 255, 0), cv2.FILLED)
-            cv2.putText(image1, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
+            # cv2.rectangle(image , (x1, y1), (x2, y2), (0, 255, 0), 2)
+            # cv2.rectangle(image , (x1, y2 - 35), (x2, y2), (0, 255, 0), cv2.FILLED)
+            cv2.putText(image , name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
 
             # display_image_with_overlay(image, name)
-            st.image(image1, use_column_width=True, output_format="PNG")
+            st.image(image , use_column_width=True, output_format="PNG")
     else : 
         st.warning("No faces detected in the image.")