GPTFeed is an experimental project aimed at improving language models by incorporating user feedback. By continuously learning from user interactions, GPTFeed adapts and enhances its responses in real-time, providing a more personalized and accurate experience.
- User Feedback Integration: The model continuously learns and improves from user feedback.
- Real-time Updates: Responses are updated in real-time based on the latest feedback.
- Customizable Responses: Users can customize the model's responses to better suit their needs.
- Multi-language Support: Supports multiple languages for a diverse user base.
- Scalability: Capable of handling a large number of requests simultaneously.
- Security: Implements robust security measures to protect user data.
- Performance Metrics: High accuracy and fast response times.
- User Interface: Intuitive and user-friendly interface for easy interaction.
- Documentation: Comprehensive documentation available for developers.
To get started with GPTFeed, follow these steps:
- Clone the repository:
git clone https://github.com/AshwinDEM/GPTFeed.git
- Navigate to the project directory:
cd GPTFeed - Install the required dependencies:
pip install -r requirements.txt
To use GPTFeed, follow these steps:
- Run the application:
streamlit run streamlit_app.py
- Follow the on-screen instructions to register/login and then access the model.
We welcome contributions! Please follow these steps to contribute:
- Fork the repository.
- Create a new branch:
git checkout -b feature-branch
- Make your changes and commit them:
git commit -m "Add new feature" - Push to the branch:
git push origin feature-branch
- Open a pull request.
For any questions or suggestions, please contact us at [email protected].