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Zephyr

Zephyr is simple instant chat application built with Django that allows multiple users to engage in conversations and interact with a large language model (LLM). This platform aims to combine real-time chatting capabilities with the intelligence of GPT-based models, hoping to provide users with unique and engaging conversational experiences.

Screenshots

Technologies Used

  • Python for backend logic.
  • Django as the web framework.
  • HTMX for dynamic page updates without full reloads.
  • OpenAI's API for communication with the GPT model.
  • PostgreSQL for data storage in development.
  • HTML, CSS (Tailwind CSS), and JavaScript for front-end development.

Getting Started

To get started with Zephyr:

Next Steps

  • Enhanced User Profiles: To allow users to customize their profile and keep track of their chatting history.
  • Real-time Notifications: Implement real-time notifications for incoming messages or system updates.
  • Expanded Language Support: Integrate additional language models to leverage different capabilities.
  • Scalability Improvements: Optimize backend architecture to support a larger number of simultaneous users.

Zephyr is an experiment in blending messaging platforms with advanced AI capabilities, offering a novel approach to online communication. Its development journey continues as we explore new features and improvements to enhance user experience and engagement.