Deploy your private Gemini application for free with one click, supporting Gemini 1.5 Pro, Gemini 1.5 Flash, Gemini Pro and Gemini Pro Vision models.
一键免费部署您的私人 Gemini 应用, 支持 Gemini 1.5 Pro、Gemini 1.5 Flash、Gemini Pro 和 Gemini Pro Vision 模型。
Simple interface, supports image recognition and voice conversation
简洁的界面，支持图片识别和语音对话
Supports Gemini 1.5 and Gemini 1.5 Flash multimodal models
支持 Gemini 1.5 和 Gemini 1.5 Flash 多模态模型
A new assistant market with hundreds of hand-picked system commands
全新的助理市场，拥有数百精选的系统指令
- Deploy for free with one-click on Vercel in under 1 minute
- Supports multi-modal models and can understand images, videos, audios and some text documents
- Talk mode: Let you talk directly to Gemini
- Visual recognition allows Gemini to understand the content of the picture
- Assistant market with hundreds of selected system instruction
- Full Markdown support: LaTex formulas, code highlighting, and more
- Automatically compress contextual chat records to save Tokens while supporting very long conversations
- Privacy and security, all data is saved locally in the user's browser
- Well-designed UI, responsive design, supports dark mode
- Extremely fast first screen loading speed, supporting streaming response
- Static deployment supports deployment on any website service that supports static pages, such as Github Page, Cloudflare, Vercel, etc.
- Multi-language support: English, Simplified Chinese, Traditional Chinese, Japanese, 한국어, Español, Deutsch, Français, Português, Русский and العربية
- 在 1 分钟内使用 Vercel 免费一键部署
- 支持多模态模型，可以理解图片、视频、音频和部分文本文档
- 语音模式：让您直接与 Gemini 对话
- 视觉识别，让 Gemini 可以看懂图片内容
- 助理市场，拥有数百精选的系统指令
- 完整的 Markdown 支持：LaTex 公式、代码高亮等等
- 自动压缩上下文聊天记录，在节省 Token 的同时支持超长对话
- 隐私安全，所有数据保存在用户浏览器本地
- 精心设计的 UI，响应式设计，支持深色模式
- 极快的首屏加载速度，支持流式响应
- 静态部署，支持部署在任何支持静态页面的网站服务，比如 Github Page、Cloudflare、Vercel 等
- 多国语言支持：English、简体中文、繁体中文、日本語、한국어、Español、Deutsch、Français、Português、Русский 以及 العربية
- Reconstruct the topic square and introduce Prompt list
- Add conversation list
- Use tauri to package desktop applications
- Share as image, share to ShareGPT link
- 重构话题广场，引入 Prompt 列表
- 增加对话列表
- 使用 tauri 打包桌面应用
- 分享为图片，分享到 ShareGPT 链接
- Get Gemini API Key
- Click
- Start using
- 获取 Gemini API Key
- 单击
- 开始使用
If you want to update instantly, you can check out the GitHub documentation to learn how to synchronize a forked project with upstream code.
You can star or watch this project or follow author to get release notifications in time.
如果你想立即更新，可以查看GitHub文档以了解如何将分叉项目与上游代码同步。
您可以关注该项目或关注作者以及时获取发布通知。
This project provides limited access control. Please add an environment variable named ACCESS_PASSWORD on the vercel environment variables page.
After adding or modifying this environment variable, please redeploy the project for the changes to take effect.
项目提供访问控制。请在 vercel 环境变量页面添加名为 ACCESS_PASSWORD 的环境变量。
添加或修改此环境变量后，请重新部署项目以使更改生效。
Your Gemini Pro api key. If you need to enable the server api, this is required.
Default:
https://generativelanguage.googleapis.com
Examples:
http://your-gemini-proxy.com
Override Gemini Pro api request base url.
Default:
https://chat-agents.lobehub.com
Examples:
http://your-assistant-market-proxy.com
Override assistant market api request base url.
Access password.
Injected script code can be used for statistics or error tracking.
您的 Gemini Pro api 密钥。 如果您需要“启用”服务器 api，这是必需的。
默认值：
https://generativelanguage.googleapis.com
示例：
http://your-gemini-proxy.com
覆盖 Gemini Pro api 请求基本 url。
默认值：
https://chat-agents.lobehub.com
示例：
http://your-assistant-market-proxy.com
覆盖 assistant market api 请求基本 url。
访问密码。
用于注入的脚本代码可用于统计或错误跟踪。
NodeJS >= 18, Docker >= 20
NodeJS >= 18，Docker >= 20
If you have not installed pnpm
npm install -g pnpm# 1. install nodejs and yarn first
# 2. config local variables, please change `.env.example` to `.env` or `.env.local`
# 3. run
pnpm install
pnpm dev如果您没安装过 pnpm
npm install -g pnpm# 1. 先安装nodejs和yarn
# 2. 配置本地变量，请将 `.env.example` 改为 `.env` 或 `.env.local`
# 3. 运行
pnpm install
pnpm devThe Docker version needs to be 20 or above, otherwise it will prompt that the image cannot be found.
⚠️ Note: Most of the time, the docker version will lag behind the latest version by 1 to 2 days, so the "update exists" prompt will continue to appear after deployment, which is normal.
docker pull xiangfa/talk-with-gemini:latest
docker run -d --name talk-with-gemini -p 3000:3000 xiangfa/talk-with-geminiYou can also specify additional environment variables:
docker run -d --name talk-with-gemini \
-p 3000:3000 \
-e GEMINI_API_KEY=AIza... \
-e ACCESS_PASSWORD=your-password \
xiangfa/talk-with-geminiIf you need to specify other environment variables, please add -e key=value to the above command to specify it.
Docker 版本需要在 20 及其以上，否则会提示找不到镜像。
⚠️ 注意：docker 版本在大多数时间都会落后最新的版本 1 到 2 天，所以部署后会持续出现“存在更新”的提示，属于正常现象。
docker pull xiangfa/talk-with-gemini:latest
docker run -d --name talk-with-gemini -p 3000:3000 xiangfa/talk-with-gemini您也可以指定额外的环境变量：
docker run -d --name talk-with-gemini \
-p 3000:3000 \
-e GEMINI_API_KEY=AIza... \
-e ACCESS_PASSWORD=页面访问密码 \
xiangfa/talk-with-gemini如果您需要指定其他环境变量，请自行在上述命令中增加 -e 环境变量=环境变量值 来指定。
You can also build a static page version directly, and then upload all files in the out directory to any website service that supports static pages, such as Github Page, Cloudflare, Vercel, etc..
pnpm build:exportIf you deploy the project in a subdirectory and encounter resource loading failures when accessing, please modify the nextConfig.basePath in the next.config.js file to the specific directory of your subdirectory `nextConfig.basePath = '/path/project'.
Static deployment does not support setting environment variables
您也可以直接构建静态页面版本，然后将 out 目录下的所有文件上传到任何支持静态页面的网站服务，比如 Github Page、Cloudflare、Vercel 等。
pnpm build:export如果您将项目部署在子目录下，在访问时会遇到资源加载失败的情况，请修改 next.config.js 文件中 nextConfig.basePath 为您子目录的具体目录 nextConfig.basePath = '/路径/项目名称'。
静态部署不支持设置环境变量
You can refer to the following two Gemini Api proxy projects gemini-proxy and palm-netlify-proxy deployment method.
Note that Vercel and Netlify prohibit users from deploying proxy services. This solution may result in account suspension, so use with caution
The currently known vercel and netlify both use serverless edge computing. Although the response speed is fast, they have size restrictions on uploaded files. Cloudflare Worker has relatively loose limits on large files (500MB for free users, 5GB for paid users) and can be used as an api proxy. How to deploy the Cloudflare Worker api proxy
Currently, speech recognition uses the browser's SpeechRecognition api. The system will hide the talk mode in some browsers that do not support the SpeechRecognition api.
Since most browsers based on the Chrome kernel use Google's speech recognition service in the implementation of the SpeechRecognition api, they require ability to access international networks normally.
Currently, the two models Gemini 1.5 Pro and Gemini 1.5 Flash support most images, audios, videos and some text files. For details, see Support List. For other document types, we will try to use LangChain.js later.
可以参考以下两个 Gemini Api 代理项目 gemini-proxy 和 palm-netlify-proxy 的部署方式。
注意 Vercel 和 Netlify 禁止用户部署代理服务，该解决方案可能会导致封号，需谨慎使用
目前了解到的 vercel 与 netlify 都使用了无服务器的边缘计算，虽然响应速度快，但对于上传文件有大小限制。Cloudflare Worker 对于大文件限制（免费用户 500MB，收费用户 5GB）相对宽松，可以用做 api 代理。如何部署 Cloudflare Worker api 代理
目前语音识别使用的是浏览器的 SpeechRecognition 接口，系统会在部分不支持 SpeechRecognition 接口的浏览器中隐藏语音对话功能。
由于大部分基于 Chrome 内核的浏览器在 SpeechRecognition 接口的实现上使用了 Google 的语音识别服务，因此需要能够正常访问国际网络的情况下使用。
目前 Gemini 1.5 Pro 和 Gemini 1.5 Flash 这两个模型支持的大部分的图片、音频、视频和部分文本类的文件，详见支持列表。对于其他文档类型，后续将尝试使用 LangChain.js 来实现。