gpt4free: Unleashing the Power of Open-Source Language Models and AI APIs

gpt4free is an innovative open-source project that provides access to a wide range of powerful language models and AI APIs. Developed as a proof of concept, this repository demonstrates the creation of a versatile API package capable of handling multi-provider requests with advanced features such as timeouts, load balancing, and flow control. gpt4free aims to make cutting-edge AI technology more accessible to developers and researchers, offering both local and remote inference options for various AI models, including the popular GPT-3.5 and GPT-4.

gpt4free boasts an impressive array of features that set it apart in the AI development landscape. Some of its key capabilities include: 1. Multi-provider support: Access a diverse range of AI models from different providers through a unified interface. 2. Local inference: Perform AI computations locally, reducing reliance on external services and enhancing privacy. 3. Remote API integration: Connect to various online AI services for more powerful processing capabilities. 4. Load balancing and flow control: Optimize resource usage and manage multiple requests efficiently. 5. Timeout handling: Implement robust error handling for unresponsive services. 6. Web UI and CLI: User-friendly interfaces for both graphical and command-line interactions. 7. Docker support: Easy deployment and scalability using containerization. 8. Extensive model support: Access to GPT-3.5, GPT-4, and other advanced language models.

To begin using gpt4free, follow these steps: 1. Installation: - Using PyPI: Run 'pip install -U g4f[all]' - From source: Clone the repository and install requirements - Using Docker: Pull the latest image with 'docker pull hlohaus789/g4f' 2. Prerequisites: - Python 3.10+ (recommended) - Google Chrome (for providers with webdriver) 3. Configuration: - Set up cookies or access tokens for specific providers if needed - Configure proxy settings if desired 4. Running the Web UI: - Execute 'python -m g4f.cli gui -port 8080 -debug' 5. Using the Python API: - Import the necessary modules and start making API calls For detailed instructions and advanced setup options, refer to the project's documentation.

gpt4free offers versatile usage options for both text and image generation. Here are some examples: 1. Text Generation: ```python from g4f.client import Client client = Client() response = client.chat.completions.create( model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hello"}] ) print(response.choices[0].message.content) ``` 2. Image Generation: ```python from g4f.client import Client client = Client() response = client.images.generate( model="gemini", prompt="a white siamese cat" ) image_url = response.data[0].url ``` 3. Using the Web UI: ```python from g4f.gui import run_gui run_gui() ``` These examples demonstrate the simplicity and power of gpt4free for various AI-related tasks.

gpt4free supports a wide range of providers and models, catering to diverse AI needs: 1. GPT-4 Providers: - Bing, ChatgptAi, Liaobots, OpenaiChat, Raycast, Theb, You 2. GPT-3.5 Providers: - AItianhuSpace, ChatForAi, Chatgpt4Online, ChatgptNext, ChatgptX, FlowGpt, FreeGpt, GptTalkRu, Koala, MyShell, PerplexityAi, Poe, TalkAi, Vercel, and more 3. Other Models and Providers: - Aura, Bard, DeepInfra, FreeChatgpt, Gemini, GeminiPro, GeminiProChat, HuggingChat, HuggingFace, Llama2, PerplexityLabs, Pi, ThebApi, OpenAssistant 4. Specialized Models: - Llama-2 variants, CodeLlama, Mixtral, Mistral, dolphin, airoboros, openchat, claude, and more This extensive list of providers and models ensures that users can access the most suitable AI capabilities for their specific requirements.

gpt4free welcomes contributions from the community to enhance its capabilities and expand its provider network. Here's how you can contribute: 1. Adding new providers or features: Develop and submit pull requests for new AI providers or additional functionalities. 2. Improving existing code: Fix bugs, optimize performance, or enhance the user experience of current features. 3. Documentation: Help improve guides, tutorials, and API documentation for better user understanding. 4. Testing and reporting issues: Identify and report bugs or suggest improvements through the issue tracker. 5. Sharing knowledge: Participate in discussions and help other users in the project's community channels. To contribute, simply create a pull request with your changes. The project's co-pilot will review the code, and once all requirements are met, the changes will be merged into the main branch for future releases.

gpt4free is released under the GNU General Public License v3 (GPL-3.0), which grants users the freedom to use, modify, and distribute the software. Key points of the license include: 1. Free use and distribution: Users can freely use and share the software. 2. Open source requirement: Any modifications or derived works must also be open-sourced under the same license. 3. No warranty: The software is provided "as is" without any warranty. 4. Attribution: Users must maintain copyright notices and provide access to the source code. It's important to note that while gpt4free provides access to various AI models and APIs, users should be aware of and comply with the terms of service of individual AI providers when using their services through this project. For full details on copyright and licensing, refer to the LICENSE file in the project repository.