Execution error-Can u please give me the requirements

[mriyazhussain]

PS C:\Users\M RIYAZ HUSSAIN\OneDrive\Desktop\Face-Liveness-Detection-master\Face-Liveness-Detection-master> python3.9.exe .\demo.py --model C:\work\Face-Liveness-Detection-master\liveness.model --le C:\work\Face-Liveness-Detection-master\le.pickle --detector C:\Users\MRIYAZ~1\OneDrive\Desktop\livenessnet-master\livenessnet-master\face_detector\ --shape-predictor C:\work\Face-Liveness-Detection-master
2022-03-28 15:37:20.213512: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2022-03-28 15:37:20.213830: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
loading face detector
loading the liveness detector
2022-03-28 15:37:22.632096: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2022-03-28 15:37:22.632654: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
2022-03-28 15:37:22.638761: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: Madikera-Riyaz-Hussain
2022-03-28 15:37:22.639143: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: Madikera-Riyaz-Hussain
2022-03-28 15:37:22.639859: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Traceback (most recent call last):
File "C:\Users\M RIYAZ HUSSAIN\OneDrive\Desktop\Face-Liveness-Detection-master\Face-Liveness-Detection-master\demo.py", line 43, in
le = pickle.loads(open(args["le"], "rb").read())
ModuleNotFoundError: No module named 'sklearn.preprocessing.label'