Update app.py

app.py

@@ -79,58 +79,14 @@ def attend():
     
     def run_face_recognition():
         bytes_data=None
+
         img_file_buffer=st.camera_input("Take a picture")
         if img_file_buffer is not None:
-            
-            st.write("yes there is image")
-            # test_image = Image.open()
-            st.image(img_file_buffer)
-            
-            # s = True
-    
-            # existing_names = set(row[0] for row in csv.reader(csv_file))  # Collect existing names from the CSV file   
-            
-    
-            # while s:
-            #     _, frame = img_file_buffer.read()
-            #     small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
-            #     rgb_small_frame = small_frame[:, :, ::-1]
-                
-            #     face_locations = face_recognition.face_locations(rgb_small_frame)
-            #     face_encodings = face_recognition.face_encodings(small_frame, face_locations)
-            #     face_names = []
-    
-            #     for face_encoding in face_encodings:
-            #         matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
-            #         name = ""
-            #         face_distance = face_recognition.face_distance(known_face_encodings, face_encoding)
-            #         best_match_index = np.argmin(face_distance)
-            #         if matches[best_match_index]:
-            #             name = known_faces_names[best_match_index]
-    
-            #         face_names.append(name)
-    
-                   
-            #         for name in face_names:
-            #             if name in known_faces_names and name in students and name not in existing_names:
-            #                 students.remove(name)
-            #                 print(students)
-            #                 print(f"Attendance recorded for {name}")
-            #                 current_time = now.strftime("%H-%M-%S")
-            #                 csv_writer.writerow([name, current_time, "Present"])
-            #                 existing_names.add(name)  # Add the name to the set of existing names
-                            
-            #                 s = False  # Set s to False to exit the loop after recording attendance
-            #                 break  # Break the loop once attendance has been recorded for a name
-    
-            #     cv2.imshow("Attendance System", frame)
-            #     if cv2.waitKey(1) & 0xFF == ord('q'):
-            #         break
+            test_image=Image.open(img_file_buffer)
+            st.image(test_image)
+
         if bytes_data is None:
             st.stop()
-#         video_capture.release()
-#         cv2.destroyAllWindows()
-        csv_file.close()
 
     # Call the function to run face recognition
     run_face_recognition()