Installation FAQ ================================== ##### Q1: execute `pip install -e .` error, found some package cannot find correct version. change the pip source. ```bash # pypi $ pip install -e . -i https://pypi.python.org/simple ``` or ```bash # tsinghua $ pip install -e . -i https://pypi.tuna.tsinghua.edu.cn/simple/ ``` or ```bash # aliyun $ pip install -e . -i http://mirrors.aliyun.com/pypi/simple/ ``` ##### Q2: sqlalchemy.exc.OperationalError: (sqlite3.OperationalError) unable to open database file make sure you pull latest code or create directory with mkdir pilot/data ##### Q3: The model keeps getting killed. your GPU VRAM size is not enough, try replace your hardware or replace other llms. ##### Q4: How to access website on the public network You can try to use gradio's [network](https://github.com/gradio-app/gradio/blob/main/gradio/networking.py) to achieve. ```python import secrets from gradio import networking token=secrets.token_urlsafe(32) local_port=5000 url = networking.setup_tunnel('0.0.0.0', local_port, token) print(f'Public url: {url}') time.sleep(60 * 60 * 24) ``` Open `url` with your browser to see the website. ##### Q5: (Windows) execute `pip install -e .` error The error log like the following: ``` × python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> [11 lines of output] running bdist_wheel running build running build_py creating build creating build\lib.win-amd64-cpython-310 creating build\lib.win-amd64-cpython-310\cchardet copying src\cchardet\version.py -> build\lib.win-amd64-cpython-310\cchardet copying src\cchardet\__init__.py -> build\lib.win-amd64-cpython-310\cchardet running build_ext building 'cchardet._cchardet' extension error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/ [end of output] ``` Download and install `Microsoft C++ Build Tools` from [visual-cpp-build-tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/) ##### Q6: `Torch not compiled with CUDA enabled` ``` 2023-08-19 16:24:30 | ERROR | stderr | raise AssertionError("Torch not compiled with CUDA enabled") 2023-08-19 16:24:30 | ERROR | stderr | AssertionError: Torch not compiled with CUDA enabled ``` 1. Install [CUDA Toolkit](https://developer.nvidia.com/cuda-toolkit-archive) 2. Reinstall PyTorch [start-locally](https://pytorch.org/get-started/locally/#start-locally) with CUDA support.