Cannot use monai-deploy package by following offical tutorial

[Smart-Surgery-Eason]

Describe the bug
I followed this tutorial and failed.

I though is the conda environment problem until I found this tutorial without using conda.

so I simplify the steps as follow:

To Reproduce
Steps to reproduce the behavior:

1. run command:

pip install fsspec
pip install monai-deploy-app-sdk

2. Install cuda-toolkit.

3. run command:

export PATH=/usr/local/cuda-12.5/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-12.5/lib64:$LD_LIBRARY_PATH
sudo apt install docker-buildx
git clone --branch main --depth 1 https://github.com/Project-MONAI/monai-deploy-app-sdk.git
cd monai-deploy-app-sdk
pip install scikit-image setuptools Pillow matplotlib
chmod +777 /tmp/requirements.txt
monai-deploy package examples/apps/simple_imaging_app -c examples/apps/simple_imaging_app/app.yaml -t simple_app:latest --platform x64-workstation -l DEBUG

Expected behavior
Stop here:

#19 [14/19] RUN pip install --no-cache-dir --user -r /tmp/requirements.txt
#19 0.408 ERROR: Could not open requirements file: [Errno 13] Permission denied: '/tmp/requirements.txt'
#19 ERROR: process "/bin/sh -c pip install --no-cache-dir --user -r /tmp/requirements.txt" did not complete successfully: exit code: 1
------
 > [14/19] RUN pip install --no-cache-dir --user -r /tmp/requirements.txt:
0.408 ERROR: Could not open requirements file: [Errno 13] Permission denied: '/tmp/requirements.txt'
------
WARNING: local cache import at /home/ubuntu/.holoscan_build_cache not found due to err: could not read /home/ubuntu/.holoscan_build_cache/index.json: open /home/ubuntu/.holoscan_build_cache/index.json: no such file or directory
Dockerfile:72
--------------------
  70 |
  71 |     RUN pip install --upgrade pip
  72 | >>> RUN pip install --no-cache-dir --user -r /tmp/requirements.txt
  73 |
  74 |
--------------------
ERROR: failed to solve: process "/bin/sh -c pip install --no-cache-dir --user -r /tmp/requirements.txt" did not complete successfully: exit code: 1
[2024-07-15 10:00:51,769] [INFO] (packager) - Build Summary:

Platform: x64-workstation/dgpu
    Status: Failure
    Error:  Error building image: see Docker output for additional details.

Screenshots

Environment
AWS EC2 NVIDIA GPU Optimized AMI. g5.xlarge instance