安装教程
在阅读本文之前，请您对Conda和CMD有基础的了解，如果您不太了解这两项，可以通过阅读本站所写的Conda和CMD的相关基础知识，然后再参阅以下内容来搭建SkyChat。
CMD教程
Conda教程
下载地址
Github
https://github.com/SkyWorkAIGC/SkyChat
网盘下载
最便捷的方法，使用本站提供的安装包，其中包括了模型与Github源代码，您下载后，直接将openAI文件夹解压至电脑的D盘，然后根据下面的教程直接复制粘贴命令即可，免去修改成自定义路径的麻烦。
备注：解压后的正确路径应该为：D:\openAI\SkyChat\
如果您将压至其它目录，或者更改了文件夹的名字，那请您在使用如下教程时，切记修改自己相对应的路径，不然将会报错。
更新基础环境
在开始使用Conda创建环境之前，我们应该先更新Conda的基础环境依赖，使其保持最新。
打开CMD，输入以下命令，Conda基础环境将会得到自动更新。
conda update -n base -c defaults conda
您将会看到如下提示：
Proceed ([y]/n)?
我们直接按下回车即可更新全部基础依赖至最新啦。
Semantic
创建Semantic环境
下面我们开始创建一个空环境
conda create -n semantic
同样会看到Proceed ([y]/n)?的提示，我们直接按回车即可。
验证环境
输入如下命令，查看名为semantic的Conda环境是否创建成功。
conda info --envs
我们将会看到如下反馈：
D:\openAI\SkyChat>conda info --envs # conda environments: # semantic C:\Users\openAI\.conda\envs\semantic base * C:\openAI\Miniconda3
可以看到环境已经创建好了。
激活semantic环境
我们激活刚刚创建的环境。
conda activate semantic
semantic环境安装PIP
重要：在激活环境之后，我们一定要先为该环境安装PIP，不然Conda将会调用Base内的PIP安装至默认的Base环境，而不是已经激活了的环境。
conda install pip
卸载Numpy
注意：如果您是Miniconda可以跳过该步骤，如果您是Anaconda，执行如下命令，该命令用来删掉初始自带的numpy：
python -m pip uninstall numpy
跳转路径
通过CD跳转至您的SkyChat路径，命令如下：
cd /d D:\openAI\SkyChat\semantic_score_clean
安装环境依赖
执行如下命令，自动安装semantic的相关依赖库。
pip install -r requirements.txt
启动Semantic服务
安装完成后，执行如下命令：
python semantic_score_api.py
至此，Semantic的相关环境已经搭建完成，请保持该CMD窗口运行，不要关闭。
安装CUDA
关于CUDA的安装，请参考下面这篇文章。
userprofile
创建userprofile环境
通过如下代码来创建一个名称为userprofile的空环境：
conda create -n userprofile
同样会看到Proceed ([y]/n)?的提示，我们直接按回车即可。
验证环境
输入如下命令，查看名为userprofile的Conda环境是否创建成功。
conda info --envs
我们将会看到如下反馈：
D:\openAI\SkyChat>conda info --envs # conda environments: # semantic C:\Users\openAI\.conda\envs\semantic userprofile C:\Users\openAI\.conda\envs\userprofile base * C:\openAI\Miniconda3
可以看到环境已经创建好了。
激活semantic环境
我们激活刚刚创建的环境。
conda activate userprofile
userprofile环境安装PIP
重要：在激活环境之后，我们一定要先为该环境安装PIP，不然Conda将会调用Base内的PIP安装至默认的Base环境，而不是已经激活了的环境。
conda install pip
卸载Numpy
注意：如果您是Miniconda可以跳过该步骤，如果您是Anaconda，执行如下命令，该命令用来删掉初始自带的numpy：
python -m pip uninstall numpy
跳转路径
通过CD跳转至您的SkyChat路径，命令如下：
cd /d D:\openAI\SkyChat\userprofile
安装环境依赖
执行如下命令，自动安装userprofile的相关依赖库：
pip install -r requirements.txt
安装Cuda版Torch
python -m pip install torch==1.11.0+cu115 -f https://download.pytorch.org/whl/torch_stable.html
安装补充
本站在安装部署测试时发现，运行服务后，可能提示如下依赖的缺失，可以尝试输入以下命令安装相应依赖。
安装Flask
pip install flask
安装Numpy
pip install Numpy==1.16.4
安装FastNLP
pip install fastNLP==0.5.0
启动userprofile服务
安装完成后，执行如下命令：
python server_v3.py
至此，userprofile项目相关安装完成。
启动SkyChat
在本地浏览器打开http://192.168.0.106:8001，即可访问SkyChat聊天机器人服务啦。
此文章由OpenAI开源维基百科原创发布，如若转载请注明出处：https://openai.wiki/skychat-windows-install.html
评论列表（58条）
pip install -r requirements.txt安装失败
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Processing c:\b\abs_85o_6fm0se\croot\certifi_1671487778835\work\certifi
ERROR: Could not install packages due to an OSError: [Errno 2] No such file or directory: ‘C:\\b\\abs_85o_6fm0se\\croot\\certifi_1671487778835\\work\\certifi’
使用清华源也不行
@jk：你这是路径写错了吧，好像和源没啥关系呢。
No such file or directory是指没有找到路径。cd /d D:\openAI\SkyChat\userprofile 是输入之后，它提示找不到路径，这是怎么回事
@Booth：之前的每一步都是按照文章指引来的
@Booth：C:\Users\openAI\.conda\envs\userprofile，userprofile这个东西不是在这里吗？怎么要去skychat下面找？为什么?
@Booth：您是不是改路径了？如果你的路径和我的不一样，是需要成和自己匹配的呢。
cd /d D:\openAI\SkyChat\semantic_score_clean 刚刚试了一下，发现连跳转到这个地址都不行了！为什么？
@Booth：那证明你的电脑D:\openAI\SkyChat\semantic_score_clean这个路径里面没东西呀。
@PhiltreX：是的，里面没有
@PhiltreX：D:Tool\openAI\SkyChat里没有userprofile这个文件夹，这个文件在 D:\Tool\Anaconda\envs\userprofile，可是我在接下来的步骤中，跳转到这里，进行下面的操作，pip install -r requirements.txt，它提示 ERROR: Could not open requirements file: [Errno 2] No such file or directory: ‘requirements.txt’
@Booth：这证明您git clone的时候，可能没有git完整，导致requirements.txt文件没有被拉取，建议全部删除重来。
@PhiltreX：这证明您git clone的时候，可能没有git完整，导致requirements.txt文件没有被拉取，建议全部删除重来
您说这个话，我有两个问题，第一，如何git clone是指什么意思，保障下一次可以办到？第二，如何完整点删除已经安装的那些东西？
Microsoft Windows [版本 10.0.22621.1265]
(c) Microsoft Corporation。保留所有权利。
C:\Users\ZPTAO>conda update -n base -c defaults conda
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: D:\Tool\Anaconda
added / updated specs:
– conda
The following packages will be downloaded:
package | build
—————————|—————–
conda-23.1.0 | py39haa95532_0 946 KB
conda-package-handling-2.0.2| py39haa95532_0 286 KB
conda-package-streaming-0.7.0| py39haa95532_0 27 KB
conda-repo-cli-1.0.27 | py39haa95532_0 130 KB
ruamel.yaml-0.17.21 | py39h2bbff1b_0 174 KB
ruamel.yaml.clib-0.2.6 | py39h2bbff1b_1 101 KB
zstandard-0.19.0 | py39h2bbff1b_0 340 KB
————————————————————
Total: 2.0 MB
The following NEW packages will be INSTALLED:
conda-package-str~ pkgs/main/win-64::conda-package-streaming-0.7.0-py39haa95532_0 None
ruamel.yaml pkgs/main/win-64::ruamel.yaml-0.17.21-py39h2bbff1b_0 None
ruamel.yaml.clib pkgs/main/win-64::ruamel.yaml.clib-0.2.6-py39h2bbff1b_1 None
zstandard pkgs/main/win-64::zstandard-0.19.0-py39h2bbff1b_0 None
The following packages will be UPDATED:
conda 22.9.0-py39haa95532_0 –> 23.1.0-py39haa95532_0 None
conda-package-han~ 1.9.0-py39h8cc25b3_0 –> 2.0.2-py39haa95532_0 None
conda-repo-cli 1.0.20-py39haa95532_0 –> 1.0.27-py39haa95532_0 None
Proceed ([y]/n)?
Downloading and Extracting Packages
conda-repo-cli-1.0.2 | 130 KB | ############################################################################ | 100%
conda-23.1.0 | 946 KB | ############################################################################ | 100%
ruamel.yaml.clib-0.2 | 101 KB | ############################################################################ | 100%
ruamel.yaml-0.17.21 | 174 KB | ############################################################################ | 100%
conda-package-stream | 27 KB | ############################################################################ | 100%
zstandard-0.19.0 | 340 KB | ############################################################################ | 100%
conda-package-handli | 286 KB | ############################################################################ | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Retrieving notices: …working… done
C:\Users\ZPTAO>conda create -n semantic
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: D:\Tool\Anaconda\envs\semantic
Proceed ([y]/n)?
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate semantic
#
# To deactivate an active environment, use
#
# $ conda deactivate
C:\Users\ZPTAO>conda info –envs
# conda environments:
#
base D:\Tool\Anaconda
semantic D:\Tool\Anaconda\envs\semantic
C:\Users\ZPTAO>conda activate semantic
(semantic) C:\Users\ZPTAO>conda install pip
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: D:\Tool\Anaconda\envs\semantic
added / updated specs:
– pip
The following packages will be downloaded:
package | build
—————————|—————–
ca-certificates-2023.01.10 | haa95532_0 121 KB
certifi-2022.12.7 | py310haa95532_0 149 KB
libffi-3.4.2 | hd77b12b_6 109 KB
openssl-1.1.1t | h2bbff1b_0 5.5 MB
pip-23.0.1 | py310haa95532_0 2.8 MB
python-3.10.9 | h966fe2a_2 15.8 MB
setuptools-65.6.3 | py310haa95532_0 1.2 MB
sqlite-3.41.1 | h2bbff1b_0 897 KB
tzdata-2022g | h04d1e81_0 114 KB
wheel-0.38.4 | py310haa95532_0 83 KB
wincertstore-0.2 | py310haa95532_2 15 KB
xz-5.2.10 | h8cc25b3_1 520 KB
zlib-1.2.13 | h8cc25b3_0 113 KB
————————————————————
Total: 27.3 MB
The following NEW packages will be INSTALLED:
bzip2 pkgs/main/win-64::bzip2-1.0.8-he774522_0
ca-certificates pkgs/main/win-64::ca-certificates-2023.01.10-haa95532_0
certifi pkgs/main/win-64::certifi-2022.12.7-py310haa95532_0
libffi pkgs/main/win-64::libffi-3.4.2-hd77b12b_6
openssl pkgs/main/win-64::openssl-1.1.1t-h2bbff1b_0
pip pkgs/main/win-64::pip-23.0.1-py310haa95532_0
python pkgs/main/win-64::python-3.10.9-h966fe2a_2
setuptools pkgs/main/win-64::setuptools-65.6.3-py310haa95532_0
sqlite pkgs/main/win-64::sqlite-3.41.1-h2bbff1b_0
tk pkgs/main/win-64::tk-8.6.12-h2bbff1b_0
tzdata pkgs/main/noarch::tzdata-2022g-h04d1e81_0
vc pkgs/main/win-64::vc-14.2-h21ff451_1
vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2
wheel pkgs/main/win-64::wheel-0.38.4-py310haa95532_0
wincertstore pkgs/main/win-64::wincertstore-0.2-py310haa95532_2
xz pkgs/main/win-64::xz-5.2.10-h8cc25b3_1
zlib pkgs/main/win-64::zlib-1.2.13-h8cc25b3_0
Proceed ([y]/n)?
Downloading and Extracting Packages
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(semantic) C:\Users\ZPTAO>python -m pip uninstall numpy
WARNING: Skipping numpy as it is not installed.
(semantic) C:\Users\ZPTAO>cd /d D:\Tool\openAI\SkyChat\semantic_score_clean
(semantic) D:\Tool\openAI\Skychat\semantic_score_clean>pip install -r requirements.txt
Collecting transformers
Downloading transformers-4.27.0-py3-none-any.whl (6.8 MB)
━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/6.8 MB 8.9 kB/s eta 0:08:47
ERROR: Exception:
Traceback (most recent call last):
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_vendor\urllib3\response.py”, line 438, in _error_catcher
yield
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_vendor\urllib3\response.py”, line 561, in read
data = self._fp_read(amt) if not fp_closed else b””
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_vendor\urllib3\response.py”, line 527, in _fp_read
return self._fp.read(amt) if amt is not None else self._fp.read()
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_vendor\cachecontrol\filewrapper.py”, line 90, in read
data = self.__fp.read(amt)
File “D:\Tool\Anaconda\envs\semantic\lib\http\client.py”, line 465, in read
s = self.fp.read(amt)
File “D:\Tool\Anaconda\envs\semantic\lib\socket.py”, line 705, in readinto
return self._sock.recv_into(b)
File “D:\Tool\Anaconda\envs\semantic\lib\ssl.py”, line 1274, in recv_into
return self.read(nbytes, buffer)
File “D:\Tool\Anaconda\envs\semantic\lib\ssl.py”, line 1130, in read
return self._sslobj.read(len, buffer)
TimeoutError: The read operation timed out
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\cli\base_command.py”, line 160, in exc_logging_wrapper
status = run_func(*args)
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\cli\req_command.py”, line 247, in wrapper
return func(self, options, args)
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\commands\install.py”, line 419, in run
requirement_set = resolver.resolve(
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\resolver.py”, line 92, in resolve
result = self._result = resolver.resolve(
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_vendor\resolvelib\resolvers.py”, line 481, in resolve
state = resolution.resolve(requirements, max_rounds=max_rounds)
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_vendor\resolvelib\resolvers.py”, line 348, in resolve
self._add_to_criteria(self.state.criteria, r, parent=None)
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_vendor\resolvelib\resolvers.py”, line 172, in _add_to_criteria
if not criterion.candidates:
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_vendor\resolvelib\structs.py”, line 151, in __bool__
return bool(self._sequence)
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py”, line 155, in __bool__
return any(self)
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py”, line 143, in
return (c for c in iterator if id(c) not in self._incompatible_ids)
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py”, line 47, in _iter_built
candidate = func()
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\factory.py”, line 206, in _make_candidate_from_link
self._link_candidate_cache[link] = LinkCandidate(
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py”, line 297, in __init__
super().__init__(
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py”, line 162, in __init__
self.dist = self._prepare()
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py”, line 231, in _prepare
dist = self._prepare_distribution()
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py”, line 308, in _prepare_distribution
return preparer.prepare_linked_requirement(self._ireq, parallel_builds=True)
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\operations\prepare.py”, line 491, in prepare_linked_requirement
return self._prepare_linked_requirement(req, parallel_builds)
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\operations\prepare.py”, line 536, in _prepare_linked_requirement
local_file = unpack_url(
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\operations\prepare.py”, line 166, in unpack_url
file = get_http_url(
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\operations\prepare.py”, line 107, in get_http_url
from_path, content_type = download(link, temp_dir.path)
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\network\download.py”, line 147, in __call__
for chunk in chunks:
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\cli\progress_bars.py”, line 53, in _rich_progress_bar
for chunk in iterable:
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_internal\network\utils.py”, line 63, in response_chunks
for chunk in response.raw.stream(
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_vendor\urllib3\response.py”, line 622, in stream
data = self.read(amt=amt, decode_content=decode_content)
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_vendor\urllib3\response.py”, line 560, in read
with self._error_catcher():
File “D:\Tool\Anaconda\envs\semantic\lib\contextlib.py”, line 153, in __exit__
self.gen.throw(typ, value, traceback)
File “D:\Tool\Anaconda\envs\semantic\lib\site-packages\pip\_vendor\urllib3\response.py”, line 443, in _error_catcher
raise ReadTimeoutError(self._pool, None, “Read timed out.”)
pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host=’files.pythonhosted.org’, port=443): Read timed out.
(semantic) D:\Tool\openAI\Skychat\semantic_score_clean>pip install -r requirements.txt
Collecting transformers
Downloading transformers-4.27.1-py3-none-any.whl (6.7 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.7/6.7 MB 201.3 kB/s eta 0:00:00
Collecting flask
Downloading Flask-2.2.3-py3-none-any.whl (101 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 101.8/101.8 kB 1.5 MB/s eta 0:00:00
Collecting torch
Downloading torch-2.0.0-cp310-cp310-win_amd64.whl (172.3 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 172.3/172.3 MB 6.8 MB/s eta 0:00:00
Collecting filelock
Downloading filelock-3.10.0-py3-none-any.whl (9.9 kB)
Collecting huggingface-hub=0.11.0
Downloading huggingface_hub-0.13.2-py3-none-any.whl (199 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.2/199.2 kB 6.1 MB/s eta 0:00:00
Collecting packaging>=20.0
Downloading packaging-23.0-py3-none-any.whl (42 kB)
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Collecting tqdm>=4.27
Downloading tqdm-4.65.0-py3-none-any.whl (77 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 77.1/77.1 kB ? eta 0:00:00
Collecting tokenizers!=0.11.3,=0.11.1
Downloading tokenizers-0.13.2-cp310-cp310-win_amd64.whl (3.3 MB)
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Collecting numpy>=1.17
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Downloading requests-2.28.2-py3-none-any.whl (62 kB)
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Collecting Werkzeug>=2.2.2
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Installing collected packages: tokenizers, mpmath, urllib3, typing-extensions, sympy, regex, pyyaml, packaging, numpy, networkx, MarkupSafe, itsdangerous, idna, filelock, colorama, charset-normalizer, Werkzeug, tqdm, requests, Jinja2, click, torch, huggingface-hub, flask, transformers
Successfully installed Jinja2-3.1.2 MarkupSafe-2.1.2 Werkzeug-2.2.3 charset-normalizer-3.1.0 click-8.1.3 colorama-0.4.6 filelock-3.10.0 flask-2.2.3 huggingface-hub-0.13.2 idna-3.4 itsdangerous-2.1.2 mpmath-1.3.0 networkx-3.0 numpy-1.24.2 packaging-23.0 pyyaml-6.0 regex-2022.10.31 requests-2.28.2 sympy-1.11.1 tokenizers-0.13.2 torch-2.0.0 tqdm-4.65.0 transformers-4.27.1 typing-extensions-4.5.0 urllib3-1.26.15
(semantic) D:\Tool\openAI\Skychat\semantic_score_clean>python semantic_score_api.py
load ./models/lr5e-06_batch256_epoch10_bs1_finetune3_half/
default threshold 0.95
————————————————————————————————————————
Starting Python Flask Server For Semantic Score…
start service : Thu, 16 Mar 2023 00:57:45 +0000
* Serving Flask app ‘semantic_score_api’
* Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
* Running on all addresses (0.0.0.0)
* Running on http://127.0.0.1:8000
* Running on http://10.93.192.189:8000
Press CTRL+C to quit
(semantic) D:\Tool\openAI\Skychat\semantic_score_clean>
(semantic) D:\Tool\openAI\Skychat\semantic_score_clean>conda create -n userprofile
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: D:\Tool\Anaconda\envs\userprofile
Proceed ([y]/n)?
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate userprofile
#
# To deactivate an active environment, use
#
# $ conda deactivate
(semantic) D:\Tool\openAI\Skychat\semantic_score_clean>conda info –envs
# conda environments:
#
base D:\Tool\Anaconda
semantic * D:\Tool\Anaconda\envs\semantic
userprofile D:\Tool\Anaconda\envs\userprofile
(semantic) D:\Tool\openAI\Skychat\semantic_score_clean>conda activate userprofile
(userprofile) D:\Tool\openAI\Skychat\semantic_score_clean>conda install pip
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: D:\Tool\Anaconda\envs\userprofile
added / updated specs:
– pip
The following NEW packages will be INSTALLED:
bzip2 pkgs/main/win-64::bzip2-1.0.8-he774522_0
ca-certificates pkgs/main/win-64::ca-certificates-2023.01.10-haa95532_0
certifi pkgs/main/win-64::certifi-2022.12.7-py310haa95532_0
libffi pkgs/main/win-64::libffi-3.4.2-hd77b12b_6
openssl pkgs/main/win-64::openssl-1.1.1t-h2bbff1b_0
pip pkgs/main/win-64::pip-23.0.1-py310haa95532_0
python pkgs/main/win-64::python-3.10.9-h966fe2a_2
setuptools pkgs/main/win-64::setuptools-65.6.3-py310haa95532_0
sqlite pkgs/main/win-64::sqlite-3.41.1-h2bbff1b_0
tk pkgs/main/win-64::tk-8.6.12-h2bbff1b_0
tzdata pkgs/main/noarch::tzdata-2022g-h04d1e81_0
vc pkgs/main/win-64::vc-14.2-h21ff451_1
vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2
wheel pkgs/main/win-64::wheel-0.38.4-py310haa95532_0
wincertstore pkgs/main/win-64::wincertstore-0.2-py310haa95532_2
xz pkgs/main/win-64::xz-5.2.10-h8cc25b3_1
zlib pkgs/main/win-64::zlib-1.2.13-h8cc25b3_0
Proceed ([y]/n)?
Downloading and Extracting Packages
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(userprofile) D:\Tool\openAI\Skychat\semantic_score_clean>python -m pip uninstall numpy
WARNING: Skipping numpy as it is not installed.
(userprofile) D:\Tool\openAI\Skychat\semantic_score_clean>cd /d D:\openAI\SkyChat\userprofile
系统找不到指定的路径。
(userprofile) D:\Tool\openAI\Skychat\semantic_score_clean>cd /d D:Tool\openAI\SkyChat\userprofile
系统找不到指定的路径。
(userprofile) D:\Tool\openAI\Skychat\semantic_score_clean> cd /d D:Tool\openAI\SkyChat\userprofile
系统找不到指定的路径。
(userprofile) D:\Tool\openAI\Skychat\semantic_score_clean> cd/d D:\Tool\Anaconda\envs\userprofile
(userprofile) D:\Tool\Anaconda\envs\userprofile>cd /d D:Tool\openAI\SkyChat\userprofile
系统找不到指定的路径。
(userprofile) D:\Tool\Anaconda\envs\userprofile>cd /d D:\openAI\SkyChat\userprofile
系统找不到指定的路径。
(userprofile) D:\Tool\Anaconda\envs\userprofile>pip install -r requirements.txt
ERROR: Could not open requirements file: [Errno 2] No such file or directory: ‘requirements.txt’
(userprofile) D:\Tool\Anaconda\envs\userprofile>cd /d D:\openAI\SkyChat\semantic_score_clean
系统找不到指定的路径。
(userprofile) D:\Tool\Anaconda\envs\userprofile>cd /d D:Tool\openAI\SkyChat\semantic_score_clean
系统找不到指定的路径。
(userprofile) D:\Tool\Anaconda\envs\userprofile>cd
D:\Tool\Anaconda\envs\userprofile
(userprofile) D:\Tool\Anaconda\envs\userprofile>
到底哪里错了
@Booth：你的D:\openAI\SkyChat\semantic_score_clean路径内，有requirements.txt这个文件吗？
@PhiltreX：没有，安装的东西去哪里了，
怎么回事？
@PhiltreX：(userprofile) D:\Tool\Anaconda\envs\userprofile>cd /d D:Tool\openAI\SkyChat\userprofile
系统找不到指定的路径。
也不是这个这里，这个东西放哪里了？
@Booth：你手动能找到吗？打开我的电脑D盘的Tool\Anaconda\envs\userprofile>cd /d D:Tool\openAI\SkyChat里有userprofile这个文件夹吗？
路径就增加了一个Tool，后面跳转的时候，也是相应的加上的呀？所有的过程都发送了，拜托您麻烦查查是什么问题？
@Booth：你好，我看了一看，没理解为什么要python -m pip uninstall numpy执行这个呢，您把numpy给卸载了哦。
@PhiltreX：注意：如果您是Miniconda可以跳过该步骤，如果您是Anaconda，执行如下命令，该命令用来删掉初始自带的numpy——为了完成这步呀
@Booth：哦哦 你是anaconda啊
pip install -r requirements.txt，这一步总是timeout，后来差了才知道是因为没有魔法网络，换了一个pip镜像才弄好，skychat应该会有只是想聊天的非python专业的人来用，镜像应该是个普遍问题，建议写进文章里
@frosty：您说的没错，但是魔法网络的内容其实非常敏感，本站希望能够良性的发展下去，所以不太敢提及相关内容。
关于TimeOut其实就是时间超时，但是您之前没有关于网络方面的报错，一直提的都是找不到requirements.txt的文件问题，所以本站默认您网络是没有问题的。
请问安装好以后，两个环境都启动了，一个在http://192.168.2.61:8000，一个在http://192.168.2.61:8001，但无论访问哪个都显示Not Found
The requested URL was not found on the server. If you entered the URL manually please check your spelling and try again.
c) D:\openAI\SkyChat\semantic_score_clean>python semantic_score_api.py
load ./models/lr5e-06_batch256_epoch10_bs1_finetune3_half/
default threshold 0.95
————————————————————————————————————————
Starting Python Flask Server For Semantic Score…
start service : Sat, 18 Mar 2023 04:55:57 +0000
* Serving Flask app ‘semantic_score_api’
* Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
* Running on all addresses (0.0.0.0)
* Running on http://127.0.0.1:8000
* Running on http://192.168.207.17:8000
Press CTRL+C to quit
这要怎么解决啊？
成功启动，但是没有页面？
Not Found
The requested URL was not found on the server. If you entered the URL manually please check your spelling and try again.
@lsf：建议直接贴出来输出日志，只有这个我是没有办法判断问题的哈。
启动Semantic服务失败，不知如何解决
Starting Python Flask Server For Semantic Score…
start service : Sun, 19 Mar 2023 04:38:30 +0000
* Serving Flask app ‘semantic_score_api’
* Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
* Running on all addresses (0.0.0.0)
* Running on http://127.0.0.1:8000
* Running on http://192.168.124.11:8000
Press CTRL+C to quit
@Gare：没有失败啊，从输出信息看，服务已经启动成功，并且已经运行在本地计算机上的两个地址上：http://127.0.0.1:8000 和 http://192.168.124.11:8000。您可以通过在 Web 浏览器中输入其中一个地址来查看服务是否正在运行。
如果您遇到了其他问题，例如无法连接到服务或访问服务的特定功能，则建议您查看日志文件或调试输出以获取更多信息。您还可以考虑在启动服务时启用调试模式以获取更详细的日志输出。
自动安装semantic的相关依赖库， 这一步下的好慢，10 kb ，而且经常出错，是为啥
@hj：ERROR: Exception:
Traceback (most recent call last):
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_vendor\urllib3\response.py”, line 438, in _error_catcher
yield
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_vendor\urllib3\response.py”, line 561, in read
data = self._fp_read(amt) if not fp_closed else b””
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_vendor\urllib3\response.py”, line 527, in _fp_read
return self._fp.read(amt) if amt is not None else self._fp.read()
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_vendor\cachecontrol\filewrapper.py”, line 90, in read
data = self.__fp.read(amt)
File “D:\1\chat\envs\semantic\lib\http\client.py”, line 465, in read
s = self.fp.read(amt)
File “D:\1\chat\envs\semantic\lib\socket.py”, line 705, in readinto
return self._sock.recv_into(b)
File “D:\1\chat\envs\semantic\lib\ssl.py”, line 1274, in recv_into
return self.read(nbytes, buffer)
File “D:\1\chat\envs\semantic\lib\ssl.py”, line 1130, in read
return self._sslobj.read(len, buffer)
TimeoutError: The read operation timed out
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\cli\base_command.py”, line 160, in exc_logging_wrapper
status = run_func(*args)
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\cli\req_command.py”, line 247, in wrapper
return func(self, options, args)
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\commands\install.py”, line 419, in run
requirement_set = resolver.resolve(
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\resolver.py”, line 92, in resolve
result = self._result = resolver.resolve(
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_vendor\resolvelib\resolvers.py”, line 481, in resolve
state = resolution.resolve(requirements, max_rounds=max_rounds)
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_vendor\resolvelib\resolvers.py”, line 348, in resolve
self._add_to_criteria(self.state.criteria, r, parent=None)
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_vendor\resolvelib\resolvers.py”, line 172, in _add_to_criteria
if not criterion.candidates:
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_vendor\resolvelib\structs.py”, line 151, in __bool__
return bool(self._sequence)
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py”, line 155, in __bool__
return any(self)
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py”, line 143, in
return (c for c in iterator if id(c) not in self._incompatible_ids)
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py”, line 47, in _iter_built
candidate = func()
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\factory.py”, line 206, in _make_candidate_from_link
self._link_candidate_cache[link] = LinkCandidate(
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py”, line 297, in __init__
super().__init__(
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py”, line 162, in __init__
self.dist = self._prepare()
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py”, line 231, in _prepare
dist = self._prepare_distribution()
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py”, line 308, in _prepare_distribution
return preparer.prepare_linked_requirement(self._ireq, parallel_builds=True)
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\operations\prepare.py”, line 491, in prepare_linked_requirement
return self._prepare_linked_requirement(req, parallel_builds)
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\operations\prepare.py”, line 536, in _prepare_linked_requirement
local_file = unpack_url(
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\operations\prepare.py”, line 166, in unpack_url
file = get_http_url(
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\operations\prepare.py”, line 107, in get_http_url
from_path, content_type = download(link, temp_dir.path)
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\network\download.py”, line 147, in __call__
for chunk in chunks:
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\cli\progress_bars.py”, line 53, in _rich_progress_bar
for chunk in iterable:
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_internal\network\utils.py”, line 63, in response_chunks
for chunk in response.raw.stream(
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_vendor\urllib3\response.py”, line 622, in stream
data = self.read(amt=amt, decode_content=decode_content)
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_vendor\urllib3\response.py”, line 560, in read
with self._error_catcher():
File “D:\1\chat\envs\semantic\lib\contextlib.py”, line 153, in __exit__
self.gen.throw(typ, value, traceback)
File “D:\1\chat\envs\semantic\lib\site-packages\pip\_vendor\urllib3\response.py”, line 443, in _error_catcher
raise ReadTimeoutError(self._pool, None, “Read timed out.”)
pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host=’files.pythonhosted.org’, port=443): Read timed out.
这是出错后弹出的
@hj：
HTTPSConnectionPool(host=’files.pythonhosted.org’, port=443): Read timed out.一般来讲，只要您看到有关443或HTTPS的报错内容，那基本可以肯定就是网络的问题了。
@hj：好吧，我仔细看了一下评论，才看见要科学上网，希望最好能在文章里稍微暗示一下。
@hj：怕被制裁诶
@hj：因为没有魔法
@PhiltreX：在启动Semantic服务，后会有
(semantic) D:\openAI\SkyChat\semantic_score_clean>python semantic_score_api.py
load ./models/lr5e-06_batch256_epoch10_bs1_finetune3_half/
default threshold 0.95
————————————————————————————————————————
Starting Python Flask Server For Semantic Score…
start service : Sun, 19 Mar 2023 10:22:34 +0000
* Serving Flask app ‘semantic_score_api’
* Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
* Running on all addresses (0.0.0.0)
* Running on http://127.0.0.1:8000
* Running on http://10.2.0.2:8000
Press CTRL+C to quit
怎么搞
@hj：您这给出的并不是报错信息，我无法根据启动信息来排查错误在哪里哦，我需要的是错误日志。
@PhiltreX：Microsoft Windows [版本 10.0.22621.1413]
(c) Microsoft Corporation。保留所有权利。
C:\Users\10923>conda update -n base -c defaults conda
Retrieving notices: …working… done
Collecting package metadata (current_repodata.json): done
Solving environment: done
# All requested packages already installed.
C:\Users\10923>conda create -n semantic
WARNING: A conda environment already exists at ‘D:\1\chat\envs\semantic’
Remove existing environment (y/[n])?
CondaSystemExit: Exiting.
C:\Users\10923>conda info –envs
# conda environments:
#
base D:\1\chat
semantic D:\1\chat\envs\semantic
userprofile D:\1\chat\envs\userprofile
C:\Users\10923>conda activate semantic
(semantic) C:\Users\10923>conda install pip
Collecting package metadata (current_repodata.json): failed
CondaHTTPError: HTTP 000 CONNECTION FAILED for url
Elapsed: –
An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.
If your current network has https://www.anaconda.com blocked, please file
a support request with your network engineering team.
‘https//repo.anaconda.com/pkgs/msys2/noarch’
(semantic) C:\Users\10923>
(semantic) C:\Users\10923>cd /d D:\openAI\SkyChat\semantic_score_clean
(semantic) D:\openAI\SkyChat\semantic_score_clean>pip install -r requirements.txt
Requirement already satisfied: transformers in d:\1\chat\envs\semantic\lib\site-packages (from -r requirements.txt (line 1)) (4.27.1)
Requirement already satisfied: flask in d:\1\chat\envs\semantic\lib\site-packages (from -r requirements.txt (line 2)) (2.2.3)
Requirement already satisfied: torch in c:\users\10923\appdata\roaming\python\python310\site-packages (from -r requirements.txt (line 3)) (1.11.0+cu115)
Requirement already satisfied: filelock in d:\1\chat\envs\semantic\lib\site-packages (from transformers->-r requirements.txt (line 1)) (3.10.0)
Requirement already satisfied: regex!=2019.12.17 in d:\1\chat\envs\semantic\lib\site-packages (from transformers->-r requirements.txt (line 1)) (2022.10.31)
Requirement already satisfied: packaging>=20.0 in d:\1\chat\envs\semantic\lib\site-packages (from transformers->-r requirements.txt (line 1)) (23.0)
Requirement already satisfied: requests in d:\1\chat\envs\semantic\lib\site-packages (from transformers->-r requirements.txt (line 1)) (2.28.2)
Requirement already satisfied: tqdm>=4.27 in d:\1\chat\envs\semantic\lib\site-packages (from transformers->-r requirements.txt (line 1)) (4.65.0)
Requirement already satisfied: pyyaml>=5.1 in d:\1\chat\envs\semantic\lib\site-packages (from transformers->-r requirements.txt (line 1)) (6.0)
Requirement already satisfied: tokenizers!=0.11.3,=0.11.1 in d:\1\chat\envs\semantic\lib\site-packages (from transformers->-r requirements.txt (line 1)) (0.13.2)
Requirement already satisfied: huggingface-hub=0.11.0 in d:\1\chat\envs\semantic\lib\site-packages (from transformers->-r requirements.txt (line 1)) (0.13.2)
Requirement already satisfied: numpy>=1.17 in d:\1\chat\envs\semantic\lib\site-packages (from transformers->-r requirements.txt (line 1)) (1.24.2)
Requirement already satisfied: Jinja2>=3.0 in d:\1\chat\envs\semantic\lib\site-packages (from flask->-r requirements.txt (line 2)) (3.1.2)
Requirement already satisfied: Werkzeug>=2.2.2 in d:\1\chat\envs\semantic\lib\site-packages (from flask->-r requirements.txt (line 2)) (2.2.3)
Requirement already satisfied: itsdangerous>=2.0 in d:\1\chat\envs\semantic\lib\site-packages (from flask->-r requirements.txt (line 2)) (2.1.2)
Requirement already satisfied: click>=8.0 in d:\1\chat\envs\semantic\lib\site-packages (from flask->-r requirements.txt (line 2)) (8.1.3)
Requirement already satisfied: typing-extensions in c:\users\10923\appdata\roaming\python\python310\site-packages (from torch->-r requirements.txt (line 3)) (4.5.0)
Requirement already satisfied: colorama in d:\1\chat\envs\semantic\lib\site-packages (from click>=8.0->flask->-r requirements.txt (line 2)) (0.4.6)
Requirement already satisfied: MarkupSafe>=2.0 in d:\1\chat\envs\semantic\lib\site-packages (from Jinja2>=3.0->flask->-r requirements.txt (line 2)) (2.1.2)
Requirement already satisfied: charset-normalizer=2 in d:\1\chat\envs\semantic\lib\site-packages (from requests->transformers->-r requirements.txt (line 1)) (3.1.0)
Requirement already satisfied: certifi>=2017.4.17 in d:\1\chat\envs\semantic\lib\site-packages (from requests->transformers->-r requirements.txt (line 1)) (2022.12.7)
Requirement already satisfied: urllib3=1.21.1 in d:\1\chat\envs\semantic\lib\site-packages (from requests->transformers->-r requirements.txt (line 1)) (1.26.15)
Requirement already satisfied: idna=2.5 in d:\1\chat\envs\semantic\lib\site-packages (from requests->transformers->-r requirements.txt (line 1)) (3.4)
(semantic) D:\openAI\SkyChat\semantic_score_clean>python semantic_score_api.py
load ./models/lr5e-06_batch256_epoch10_bs1_finetune3_half/
default threshold 0.95
————————————————————————————————————————
Starting Python Flask Server For Semantic Score…
start service : Mon, 20 Mar 2023 05:04:22 +0000
* Serving Flask app ‘semantic_score_api’
* Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
* Running on all addresses (0.0.0.0)
* Running on http://127.0.0.1:8000
* Running on http://192.168.1.116:8000
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这样可以吗，不懂，就全发出来了
@hj：您好，你查看了当前所有的 Conda 环境，并激活了 “semantic” 环境。接着，你尝试安装 pip 包管理器，但由于 HTTP 错误，安装失败了。之后，你进入了 Semantic Score 应用程序的目录，并使用 pip 安装了一些必要的 Python 库。
最后，你在运行了一个名为 semantic_score_api.py 的 Python 脚本，它启动了一个基于 Flask 的 Web 服务，监听端口 8000，可以响应关于语义分数的 HTTP 请求。
可是在你使用php包管理器的时候，你当时遇到了HTTP错误，所以即便后面Flask成功启动，也是无法正常使用的，您应该先解决conda install pip报错的问题。
@PhiltreX：然后呢，然后呢😳
@PhiltreX：要点ctrl+c吗
@PhiltreX：您发的SkyChat里只有semantic_score_clean和user_profile_clean没有userprofile唉
@hj：重新拉取一下呢？
@PhiltreX：您发的openAI里就只有这两个啊，但下的Miniconda里有个userprofile的文件夹
× Encountered error while trying to install package.
╰─> Numpy
note: This is an issue with the package mentioned above, not pip.
hint: See above for output from the failure.
安装numpy1.16.4失败，是win11系统问题吗？安装1.20.0版本可以但是运行server_v3.py报以下错误：
SourceChangeWarning: source code of class ‘torch.nn.modules.normalization.LayerNorm’ has changed. you can retrieve the original source code by accessing the object’s source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
之后进入http://127.0.0.1:8001网页显示404
@AItomato：还有想知道您这边虚拟环境是基于Python什么版本构建的？这边是基于3.8.12的
您好，这个好像有错误：cd /d D:\openAI\SkyChat\userprofile 原作者是cd C:\你的路径\user_profile_clean\user_profile_cleancd 到解压好的user_profile_clean文件夹
，文件夹名字有问题
打开网站显示的就是
Not Found
The requested URL was not found on the server. If you entered the URL manually please check your spelling and try again.
cmd里面输出
127.0.0.1 – – [26/Mar/2023 11:00:08] “GET / HTTP/1.1” 404 –
10.19.104.11 – – [26/Mar/2023 11:00:38] “GET / HTTP/1.1” 404 –
用不用魔法这个网址我都进不去
@nor：文件不存在， 这个和开不开麻烦没什么关系，建议检查一下日志文件中的详细报错信息，这段太模糊了。
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]
note: This error originates from a subprocess, and is likely not a problem with pip.
Rolling back uninstall of numpy
Moving to c:\users\dell\anaconda3\envs\userprofile\lib\site-packages\numpy-1.24.1.dist-info\
from C:\Users\DELL\anaconda3\envs\userprofile\Lib\site-packages\~umpy-1.24.1.dist-info
Moving to c:\users\dell\anaconda3\envs\userprofile\lib\site-packages\numpy\
from C:\Users\DELL\anaconda3\envs\userprofile\Lib\site-packages\~umpy
Moving to c:\users\dell\anaconda3\envs\userprofile\scripts\f2py.exe
from C:\Users\DELL\AppData\Local\Temp\pip-uninstall-wpinqlyy\f2py.exe
error: legacy-install-failure
× Encountered error while trying to install package.
╰─> Numpy
note: This is an issue with the package mentioned above, not pip.
hint: See above for output from the failure.
安装不了1.16.4版本的numpy ，其他版本的可以吗。
@天体运行：(semantic) D:\openAI\SkyChat\semantic_score_clean>python semantic_score_api.py
load ./models/lr5e-06_batch256_epoch10_bs1_finetune3_half/
default threshold 0.95
————————————————————————————————————————
Starting Python Flask Server For Semantic Score…
start service : Tue, 28 Mar 2023 12:23:04 +0000
* Serving Flask app ‘semantic_score_api’
* Debug mode: off
以一种访问权限不允许的方式做了一个访问套接字的尝试。
(semantic) D:\openAI\SkyChat\semantic_score_clean>
这个什么情况，日志在哪看啊
@天体运行：还有就是， warnings.warn(msg, SourceChangeWarning)
* Serving Flask app ‘server_v3’
* Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
* Running on all addresses (0.0.0.0)
* Running on http://127.0.0.1:8001
* Running on http://176.20.33.18:8001
Press CTRL+C to quit
这里要改成wsgi启动么
按网上改没有报错相应模块
@天体运行：根据警告信息，这是一个开发服务器，不适合在生产环境中使用，应该使用生产级别的 WSGI 服务器来运行你的应用程序。
这这是警告信息，并不算错误，不影响使用。
@天体运行：可能是启动 Flask 应用程序时发生了权限问题。可能是由于当前用户没有足够的权限来访问 Flask 应用程序尝试的端口。你可以尝试以管理员身份运行命令行，或者将端口更改为没有被占用的端口。
@天体运行：没测试过其它版本，这个还真不太清楚。
@PhiltreX：您使用的python是什么版本的啊。
额外有个问题，127.0.0.1ping一般故障，上网啥的都正常，找了两天都没法解决。
@天体运行：可以给127加端口号ping一下试试，本站的python版本是3.10