Update app.py

app.py

@@ -27,7 +27,7 @@ for cls in myList:
 encodeListknown = [face_recognition.face_encodings(img)[0] for img in Images]
 
 # camera to take photo of user in question
-file_name = st.camera_input("Take a picture")  #st.file_uploader("Upload image  ")
+file_name = st.file_uploader("Upload image")
 
 def add_attendance(name):
     username = name
@@ -65,7 +65,7 @@ if file_name is not None:
             
             # Initialize name as Unknown
             name = "Unknown"
-    
+
             # Check if there's a match with known faces
             if True in matches:
                 matchIndex = np.argmin(faceDis)
@@ -73,27 +73,27 @@ if file_name is not None:
                 
             # Append recognized name to the list
             recognized_names.append(name)
-    
-            # Draw rectangle around the recognized face
+
+            # Draw rectangle and label on the image
             y1, x2, y2, x1 = faceLoc
             y1, x2, y2, x1 = (y1 * 4), (x2 * 4), (y2 * 4) ,(x1 * 4)
             
-            # Draw the rectangle on the original image
-            cv2.rectangle(image, (x1, y1), (x2, y2), (0, 255, 0), 2)
-    
-            # Draw label on the image
-            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)
-    
+            # 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)
+
             # Update the database
             add_attendance(name)
-    
-        # Display the image with recognized names and rectangles
-        st.image(image, use_column_width=True, output_format="PNG")
-    
+            
+        # Display the image with recognized names
+        st.image(image_copy, use_column_width=True, output_format="PNG")
+
         # Display recognized names
         st.write("Recognized Names:")
         for i, name in enumerate(recognized_names):
             st.write(f"Face {i+1}: {name}")
     else:
-        st.warning("No faces detected in the image. Face recognition failed.")
+        st.warning("No faces detected in the image. Face recognition failed.")