runtime error

and conditions of this license: https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience. WARNING: The NVIDIA Driver was not detected. GPU functionality will not be available. Use the NVIDIA Container Toolkit to start this container with GPU support; see https://docs.nvidia.com/datacenter/cloud-native/ . ************************* ** DEPRECATION NOTICE! ** ************************* THIS IMAGE IS DEPRECATED and is scheduled for DELETION. https://gitlab.com/nvidia/container-images/cuda/blob/master/doc/support-policy.md > INFO Installing latest xformers > INFO Successfully installed latest xformers Downloading (…)me_schema@0.3.9.json: 0%| | 0.00/12.7k [00:00<?, ?B/s] Downloading (…)me_schema@0.3.9.json: 100%|██████████| 12.7k/12.7k [00:00<00:00, 73.5MB/s] > INFO Authenticating user... Traceback (most recent call last): File "/app/env/bin/autotrain", line 33, in <module> sys.exit(load_entry_point('autotrain-advanced', 'console_scripts', 'autotrain')()) File "/app/src/autotrain/cli/autotrain.py", line 48, in main command.run() File "/app/src/autotrain/cli/run_app.py", line 57, in run from ..apps.main import main File "/app/src/autotrain/apps/main.py", line 10, in <module> llm = llm() File "/app/src/autotrain/apps/llm.py", line 52, in main user_token, valid_can_pay, who_is_training = common.user_validation() File "/app/src/autotrain/apps/common.py", line 24, in user_validation user_token, valid_can_pay, who_is_training = _login_user(user_token) File "/app/src/autotrain/apps/utils.py", line 94, in _login_user username = user_info["name"] KeyError: 'name' IMPORTANT: You are using gradio version 3.41.0, however version 4.29.0 is available, please upgrade. -------- ERROR conda.cli.main_run:execute(49): `conda run /bin/bash -c autotrain setup && autotrain app --port 7860` failed. (See above for error)

Container logs: