Before you begin, ensure you have the following installed on your system:
Note: If you encounter issues with Docker, you can run the project directly using Python.
Clone the Repository
git clone https://github.com/xtekky/gpt4free.git
cd gpt4free
Build and Run with Docker Compose
Pull the latest image and run a container with Google Chrome support:
docker pull hlohaus789/g4f
docker-compose up -d
Or run the small docker images without Google Chrome:
docker-compose -f docker-compose-slim.yml up -d
The api server will be accessible at http://localhost:1337
And the gui at this url: http://localhost:8080
If you encounter issues with Docker, you can run the project directly using Python:
Clone the Repository
git clone https://github.com/xtekky/gpt4free.git
cd gpt4free
Install Dependencies
pip install -r requirements.txt
Run the Server
python -m g4f.api.run
Access the API or the GUI
The api server will be accessible at http://localhost:1337
And the gui at this url: http://localhost:8080
You can test the API using curl or by creating a simple Python script:
curl -X POST -H "Content-Type: application/json" -d '{"prompt": "What is the capital of France?"}' http://localhost:1337/chat/completions
Create a file named test_g4f.py
with the following content:
import requests
url = "http://localhost:1337/v1/chat/completions"
body = {
"model": "gpt-4o-mini",
"stream": False,
"messages": [
{"role": "assistant", "content": "What can you do?"}
]
}
json_response = requests.post(url, json=body).json().get('choices', [])
for choice in json_response:
print(choice.get('message', {}).get('content', ''))
Run the script:
python test_g4f.py
sudo
or add your user to the docker
group.For more detailed information on API endpoints and usage, refer to the G4F API documentation.
To stop the Docker containers, use the following command:
docker-compose down
If you're running the server directly with Python, you can stop it by pressing Ctrl+C in the terminal where it's running.