ramstorage / gpt4free-demo

A slow guide on setting up a free OpenAI GPT-4 API on your local machine.

Welcome to gpt4free-demo 👋

How to setup a free OpenAI GPT-4 API on your own

Demo

Usage

1. Clone this repository to your local machine.

git clone https://github.com/username/gpt4free-demo.git

2. Navigate into the cloned directory.

cd gpt4free-demo

3. There is an example environment file in this directory called .env.example. You need to copy this file and rename the copy to .env. You can do this with the following command:

cp .env.example .env

4. Open the newly created .env file with your preferred text editor. Fill in your own values for the given variables. Save and close the file when you're finished.

5. Now, you can start your services using Docker Compose. Run the following command:

docker-compose up -d

This command will start the services defined in your docker-compose.yml file in the background and leave them running.

Note: If you change any environment variables in your .env file, you will need to stop and restart your services for the changes to take effect. You can do this with docker-compose down and docker-compose up -d respectively.

6. Once the services are running, the API will be accessible at http://127.0.0.1:13000. You can test it using the following examples:

   • Forefront Model

     http://127.0.0.1:13000/ask?prompt=whoareyou&model=forefront
     http://127.0.0.1:13000/ask/stream?prompt=whoareyou&model=forefront
     

   • MCBBS Model

     http://127.0.0.1:13000/ask?prompt=nothing&model=mcbbs&messages=[{"role":"system","content":"IMPORTANT: You are a virtual assistant powered by the gpt-3.5-turbo model, now time is 2023/6/3 13:42:27}"},{"role":"user","content":"你好\n"},{"role":"assistant","content":"你好！有什么我可以帮助你的吗？"},{"role":"user","content":"写个冒泡排序\n"}]
     

   • You Model

     http://127.0.0.1:13000/ask?prompt=whoareyou&model=you
     http://127.0.0.1:13000/ask/stream?prompt=whoareyou&model=you
     

Resources

• xiangsx/gpt4free-ts
• xtekky/gpt4free
• Create Your First Extension - Raycast API

Reference videos

Author

• Website: https://productsway.com/
• Twitter: @jellydn
• Github: @jellydn

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