Metadata-Version: 2.1
Name: gptloop
Version: 0.0.3
Summary: GPTLoop is a versatile AI-powered assistant to enhance work quality and efficiency
Home-page: https://github.com/mcai/GPTLoop
Author: Min Cai
Author-email: min.cai.china@gmail.com
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# GPTLoop

GPTLoop is a versatile AI-powered assistant designed to enhance work quality and efficiency across a wide range of tasks. By leveraging large language models and integrating various external tools, GPTLoop adapts to various user needs, offering tailored assistance to optimize work processes and achieve better results. The platform operates within an iterative loop, incorporating both user input and feedback to refine its output continuously.

## Features

-   **Automated Analysis and Suggestions**: GPTLoop uses large language models and external tools to analyze different types of work, identify potential issues and inefficiencies, and provide actionable suggestions for improvement, considering user feedback within its iterative loop.
-   **Customizable AI Assistance**: GPTLoop's analysis and recommendations can be tailored to fit specific user needs, preferences, and goals, refining the AI's suggestions based on user input.
-   **Cross-Platform Integration**: GPTLoop integrates with popular productivity tools, platforms, and various external tools, allowing users to access its features within their preferred workspaces.
-   **Multilingual Support**: GPTLoop works with various languages, thanks to the language capabilities of large language models, making it suitable for users from diverse linguistic backgrounds.

## Installation

To install GPTLoop using pip, open your terminal or command prompt and run:

```bash
pip install --upgrade gptloop
```

## Usage

Once GPTLoop is installed, you can run it from the command line:

```bash
export OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
gptloop
```

Follow the on-screen prompts to provide initial input and any subsequent feedback for refining the AI's output.

## Considerations

-   **API Usage and Limitations**: GPTLoop relies on large language models and external tools, so it's essential to consider API usage restrictions and limitations, which might affect the platform's performance and scalability.
-   **Privacy and Security**: Ensuring user privacy and data security is a top priority, especially when handling sensitive information and integrating with external tools.
-   **Ease of Use**: GPTLoop features a user-friendly interface, making it accessible to users with varying levels of technical expertise.
-   **Scalability**: The platform is designed to handle increasing volumes of data and users while considering API limitations and maintaining high performance and reliability.

## Contributing

Contributions to GPTLoop are welcome! To contribute, please fork the repository, make your changes, and create a pull request. If you have any questions or need assistance, feel free to open an issue.

## License

GPTLoop is released under the MIT License.

## Support

For any questions, issues, or suggestions, please open an issue on the GitHub repository.
