runtime error

Exit code: 1. Reason: nt already satisfied: h11>=0.8 in /usr/local/lib/python3.10/site-packages (from uvicorn>=0.14.0->gradio==3.50.2) (0.16.0) Requirement already satisfied: starlette<0.47.0,>=0.40.0 in /usr/local/lib/python3.10/site-packages (from fastapi->gradio==3.50.2) (0.46.2) Requirement already satisfied: anyio<5,>=3.6.2 in /usr/local/lib/python3.10/site-packages (from starlette<0.47.0,>=0.40.0->fastapi->gradio==3.50.2) (4.9.0) Requirement already satisfied: exceptiongroup>=1.0.2 in /usr/local/lib/python3.10/site-packages (from anyio<5,>=3.6.2->starlette<0.47.0,>=0.40.0->fastapi->gradio==3.50.2) (1.2.2) Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.10/site-packages (from anyio<5,>=3.6.2->starlette<0.47.0,>=0.40.0->fastapi->gradio==3.50.2) (1.3.1) Requirement already satisfied: httpcore==1.* in /usr/local/lib/python3.10/site-packages (from httpx->gradio==3.50.2) (1.0.9) Could not cache non-existence of file. Will ignore error and continue. Error: [Errno 13] Permission denied: '/.cache' Could not cache non-existence of file. Will ignore error and continue. Error: [Errno 13] Permission denied: '/.cache' Traceback (most recent call last): File "/code/app.py", line 55, in <module> main() File "/code/app.py", line 14, in main tokenizer = AutoTokenizer.from_pretrained(model_id) File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 1028, in from_pretrained return tokenizer_class_fast.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2046, in from_pretrained raise EnvironmentError( OSError: Can't load tokenizer for 'codellama/CodeLlama-7b-Instruct-hf'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'codellama/CodeLlama-7b-Instruct-hf' is the correct path to a directory containing all relevant files for a LlamaTokenizerFast tokenizer.

Container logs: