Introduction#
After OpenAI introduced the feature of chat without logging in, two open source projects, FreeGPT35-Vercel and AURORA, were born.
The FreeGPT35-Vercel project uses the Vercel platform to allow you to deploy a free GPT-3.5 interface with just one click, without the need to log in or register.
The AURORA project provides more features and settings, supports multiple deployment methods, and meets the personalized needs of different users. It also comes with a simple front-end panel.
https://img.laogou717.com/file/2666f3fae8ea44f8f9f7c.png
Introduction to FreeGPT35-Vercel#
FreeGPT35-Vercel utilizes the powerful features of the Vercel platform, allowing users to deploy the GPT-3.5 interface with just one click, eliminating the tedious login or registration process. The highlights of the project include:
- Easy Deployment: With one-click deployment to the Vercel platform, you can easily launch your own GPT-3.5 service.
- Customized Access: Users can set their own domain name for convenient access to the deployed interface.
- Environment Variable Configuration: By setting the
AUTH_TOKENenvironment variable, you will obtain a unique API key, ensuring the security of access.
Introduction to AURORA#
Compared to the FreeGPT35-Vercel project, AURORA provides more features and deployment options, meeting the personalized needs of different users. Its features include:
- Diverse Deployment: Supports various deployment methods including compilation deployment and Docker deployment, providing users with a wide range of choices.
- Rich Deployment Platforms: In addition to traditional Docker and Render, AURORA also supports emerging cloud platforms such as Koyeb and Railway, providing users with more flexibility.
- Front-end Panel Support: AURORA comes with a concise and clear front-end panel, allowing users to manage and use the service more conveniently.
Due to the complexity of DockerRender deployment and restrictions imposed by the official website, we can choose to use deployment methods such as Koyeb, Railway, and huggingface.
Vercel, Zeabur Deployment#
Since Vercel does not support streaming, if you are deploying on Vercel, please fill in False for STREAM_MODE, which does not support any default streaming clients and supports immersive translation.
Koyeb Deployment#
Select the United States as the region.
Railway Deployment#
huggingface Deployment#
The following image is from a group member: "早起的虫被鸟吃" (Early bird catches the worm)
Accessing the Web Interface#
Access http://your-server-ip:8080/web to access the translation page. Fill in the server's http://your-server-ip:8080 in the web settings page.
Note: Only IP geolocation supports using ChatGpt without logging in (you can also customize the Baseurl to bypass restrictions).
AURORA Environment Variables#
| Environment Variable | Description |
|---|---|
| BASE_URL | Set the URL of the proxy gateway, and all requests will be forwarded through this gateway. For example, https://auroraxf.glitch.me/api means that all API requests will be forwarded through this address. |
| Authorization | Key used for user authentication. When sending a request, this key will be used to verify the user's identity and ensure the legitimacy of the request. |
| TLS_CERT | Path to the TLS certificate. This certificate is used for HTTPS communication to ensure the security of data transmission. |
| TLS_KEY | Path to the TLS key. This key is used in conjunction with the TLS certificate to encrypt communication and protect the privacy and integrity of data transmission. |
| PROXY_URL | Set the URL of the proxy pool. By using a proxy pool, the source IP address of the request can be changed to bypass IP restrictions or enhance privacy protection. |
Other Front-end UI#
Reference Links#
- FreeGPT35-Vercel Project Repository: https://github.com/cliouo/FreeGPT35-Vercel
- AURORA Project Repository: https://github.com/aurora-develop/aurora
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The original link is https://www.laogou666.com/posts/AGI/free35