[Bug] dcoker部署 添加的环境变量没有生效

[cloud-nine-GitHub]

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描述问题 使用dcoker部署 添加的环境变量 并没有替换配置

截图

如何复现 docker镜像 yidadaa/chatgpt-next-web latest d6e716d6b8ba 6 hours ago 244MB 容器命令 docker run -d -p 8400:3000 --name chatgptWeb -e OPENAI_API_KEY="sk-X2GW**n3jPh1dfy9G" -e BASE_URL="https://chatgpt.xxxxxxxx.cn/api/openai" yidadaa/chatgpt-next-web

一些必要的信息

• 系统： windows 10
• 浏览器：edge
• 版本：2.9.9
• 部署方式：docker

[Issues-translate-bot]

Bot detected the issue body's language is not English, translate it automatically.

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Title: [Bug] The environment variables added by dcoker deployment did not take effect

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Describe the problem Using dcoker to deploy the added environment variables does not replace the configuration

screenshot

How ​​to reproduce docker image yidadaa/chatgpt-next-web latest d6e716d6b8ba 6 hours ago 244MB Container commands docker run -d -p 8400:3000 --name chatgptWeb -e OPENAI_API_KEY="sk-X2GW**n3jPh1dfy9G" - e BASE_URL="https://chatgpt.xxxxxxxx.cn/api/openai" yidadaa/chatgpt-next-web

Some necessary information

• System: windows 10
• Browser: edge
• Version: 2.9.9
• Deployment method: docker

[Yidadaa]

env 中的配置和前端设置页的配置显然是分离的，难不成你想让你的用户直接看到你的 sk？

[Issues-translate-bot]

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The configuration in env and the configuration on the front-end settings page are obviously separated. Is it possible that you want your users to see your sk directly?

[cloud-nine-GitHub]

env 中的配置和前端设置页的配置显然是分离的，难不成你想让你的用户直接看到你的 sk？

那个接口地址呢，也不能修改默认值吗

[Issues-translate-bot]

Bot detected the issue body's language is not English, translate it automatically.

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The configuration in env and the configuration on the front-end settings page are obviously separated. Is it possible that you want your users to see your sk directly?

What about the interface address? Can’t I change the default value?

[Issues-translate-bot]

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I also encountered this problem. After setting the interface address in the environment variable, the front end cannot be used directly. It is still the default OpenAI address. .