Hi All,

Please find below the code when i create the kivy code to convert the app but is not did it will showing the again and again this error so how to solve this error method.

Error

Command failed: ['/usr/bin/python3', '-m', 'pythonforandroid.toolchain', 'create', '--dist_name=myapp', '--bootstrap=sdl2', '--requirements=python3,kivy', '--arch=arm64-v8a', '--arch=armeabi-v7a', '--copy-libs', '--color=always', '--storage-dir=/content/.buildozer/android/platform/build-arm64-v8a_armeabi-v7a', '--ndk-api=21', '--ignore-setup-py', '--debug']

ENVIRONMENT:

SHELL = '/bin/bash'

NV_LIBCUBLAS_VERSION = '12.2.5.6-1'

NVIDIA_VISIBLE_DEVICES = 'all'

COLAB_JUPYTER_TRANSPORT = 'ipc'

NV_NVML_DEV_VERSION = '12.2.140-1'

NV_CUDNN_PACKAGE_NAME = 'libcudnn8'

CGROUP_MEMORY_EVENTS = '/sys/fs/cgroup/memory.events /var/colab/cgroup/jupyter-children/memory.events'

NV_LIBNCCL_DEV_PACKAGE = 'libnccl-dev=2.19.3-1+cuda12.2'

NV_LIBNCCL_DEV_PACKAGE_VERSION = '2.19.3-1'

VM_GCE_METADATA_HOST = '169.254.169.253'

HOSTNAME = 'b2f8ec07ec09'

LANGUAGE = 'en_US'

TBE_RUNTIME_ADDR = '172.28.0.1:8011'

COLAB_TPU_1VM = ''

GCE_METADATA_TIMEOUT = '3'

NVIDIA_REQUIRE_CUDA = ('cuda>=12.2 brand=tesla,driver>=470,driver<471 '

'brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 '
'brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 '
'brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 '
'brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 '
'brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 '
'brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 '
'brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 '
'brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 '
'brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 '
'brand=titanrtx,driver>=525,driver<526')

NV_LIBCUBLAS_DEV_PACKAGE = 'libcublas-dev-12-2=12.2.5.6-1'

NV_NVTX_VERSION = '12.2.140-1'

COLAB_JUPYTER_IP = '172.28.0.12'

NV_CUDA_CUDART_DEV_VERSION = '12.2.140-1'

NV_LIBCUSPARSE_VERSION = '12.1.2.141-1'

COLAB_LANGUAGE_SERVER_PROXY_ROOT_URL = 'http://172.28.0.1:8013/'

NV_LIBNPP_VERSION = '12.2.1.4-1'

NCCL_VERSION = '2.19.3-1'

KMP_LISTEN_PORT = '6000'

TF_FORCE_GPU_ALLOW_GROWTH = 'true'

ENV = '/root/.bashrc'

PWD = '/content'

TBE_EPHEM_CREDS_ADDR = '172.28.0.1:8009'

COLAB_LANGUAGE_SERVER_PROXY_REQUEST_TIMEOUT = '30s'

TBE_CREDS_ADDR = '172.28.0.1:8008'

NV_CUDNN_PACKAGE = 'libcudnn8=8.9.6.50-1+cuda12.2'

NVIDIA_DRIVER_CAPABILITIES = 'compute,utility'

COLAB_JUPYTER_TOKEN = ''

LAST_FORCED_REBUILD = '20240627'

NV_NVPROF_DEV_PACKAGE = 'cuda-nvprof-12-2=12.2.142-1'

NV_LIBNPP_PACKAGE = 'libnpp-12-2=12.2.1.4-1'

NV_LIBNCCL_DEV_PACKAGE_NAME = 'libnccl-dev'

TCLLIBPATH = '/usr/share/tcltk/tcllib1.20'

NV_LIBCUBLAS_DEV_VERSION = '12.2.5.6-1'

COLAB_KERNEL_MANAGER_PROXY_HOST = '172.28.0.12'

NVIDIA_PRODUCT_NAME = 'CUDA'

NV_LIBCUBLAS_DEV_PACKAGE_NAME = 'libcublas-dev-12-2'

USE_AUTH_EPHEM = '1'

NV_CUDA_CUDART_VERSION = '12.2.140-1'

COLAB_WARMUP_DEFAULTS = '1'

HOME = '/root'

LANG = 'en_US.UTF-8'

COLUMNS = '100'

CUDA_VERSION = '12.2.2'

CLOUDSDK_CONFIG = '/content/.config'

NV_LIBCUBLAS_PACKAGE = 'libcublas-12-2=12.2.5.6-1'

NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE = 'cuda-nsight-compute-12-2=12.2.2-1'

COLAB_RELEASE_TAG = 'release-colab_20241003-060119_RC00'

PYDEVD_USE_FRAME_EVAL = 'NO'

KMP_TARGET_PORT = '9000'

CLICOLOR = '1'

KMP_EXTRA_ARGS = ('--logtostderr --listen_host=172.28.0.12 --target_host=172.28.0.12 '

'--tunnel_background_save_url=https://colab.research.google.com/tun/m/cc48301118ce562b961b3c22d803539adc1e0c19/m-s-3vhsilz2putzk '
'--tunnel_background_save_delay=10s '
'--tunnel_periodic_background_save_frequency=30m0s '
'--enable_output_coalescing=true --output_coalescing_required=true '
'--log_code_content')

NV_LIBNPP_DEV_PACKAGE = 'libnpp-dev-12-2=12.2.1.4-1'

COLAB_LANGUAGE_SERVER_PROXY_LSP_DIRS = '/datalab/web/pyright/typeshed-fallback/stdlib,/usr/local/lib/python3.10/dist-packages'

NV_LIBCUBLAS_PACKAGE_NAME = 'libcublas-12-2'

COLAB_KERNEL_MANAGER_PROXY_PORT = '6000'

CLOUDSDK_PYTHON = 'python3'

NV_LIBNPP_DEV_VERSION = '12.2.1.4-1'

ENABLE_DIRECTORYPREFETCHER = '1'

NO_GCE_CHECK = 'False'

JPY_PARENT_PID = '94'

PYTHONPATH = '/env/python'

TERM = 'xterm-color'

NV_LIBCUSPARSE_DEV_VERSION = '12.1.2.141-1'

GIT_PAGER = 'cat'

LIBRARY_PATH = '/usr/local/cuda/lib64/stubs'

NV_CUDNN_VERSION = '8.9.6.50'

SHLVL = '0'

PAGER = 'cat'

COLAB_LANGUAGE_SERVER_PROXY = '/usr/colab/bin/language_service'

NV_CUDA_LIB_VERSION = '12.2.2-1'

NVARCH = 'x86_64'

NV_CUDNN_PACKAGE_DEV = 'libcudnn8-dev=8.9.6.50-1+cuda12.2'

NV_CUDA_COMPAT_PACKAGE = 'cuda-compat-12-2'

MPLBACKEND = 'module://ipykernel.pylab.backend_inline'

NV_LIBNCCL_PACKAGE = 'libnccl2=2.19.3-1+cuda12.2'

LD_LIBRARY_PATH = '/usr/local/nvidia/lib:/usr/local/nvidia/lib64'

COLAB_GPU = ''

GCS_READ_CACHE_BLOCK_SIZE_MB = '16'

NV_CUDA_NSIGHT_COMPUTE_VERSION = '12.2.2-1'

NV_NVPROF_VERSION = '12.2.142-1'

LC_ALL = 'en_US.UTF-8'

COLAB_FILE_HANDLER_ADDR = 'localhost:3453'

PATH = '/root/.buildozer/android/platform/apache-ant-1.9.4/bin:/opt/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/tools/node/bin:/tools/google-cloud-sdk/bin'

NV_LIBNCCL_PACKAGE_NAME = 'libnccl2'

COLAB_DEBUG_ADAPTER_MUX_PATH = '/usr/local/bin/dap_multiplexer'

NV_LIBNCCL_PACKAGE_VERSION = '2.19.3-1'

PYTHONWARNINGS = 'ignore:::pip._internal.cli.base_command'

DEBIAN_FRONTEND = 'noninteractive'

COLAB_BACKEND_VERSION = 'next'

OLDPWD = '/'

_ = '/usr/local/bin/buildozer'

PACKAGES_PATH = '/root/.buildozer/android/packages'

ANDROIDSDK = '/root/.buildozer/android/platform/android-sdk'

ANDROIDNDK = '/root/.buildozer/android/platform/android-ndk-r25b'

ANDROIDAPI = '31'

ANDROIDMINAPI = '21'

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