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DB-GPT/docs/getting_started/faq/deploy/deploy_faq.md
FangYin Cheng 3f6e9687ee feat: Support windows
fix: Fix install error on linux

doc: Add torch cuda FAQ
2023-08-22 14:35:11 +08:00

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Installation FAQ

Q1: execute pip install -e . error, found some package cannot find correct version.

change the pip source.

# pypi
$ pip install -e . -i https://pypi.python.org/simple

or

# tsinghua
$ pip install -e . -i https://pypi.tuna.tsinghua.edu.cn/simple/

or

# 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 to achieve.

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

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
  2. Reinstall PyTorch start-locally with CUDA support.