Chatbot UI

What is the project about?

Chatbot UI is an open-source web application that provides a user interface for interacting with AI chatbots. It's designed to be a versatile and accessible platform for anyone to engage with various AI models.

What problem does it solve?

It simplifies the interaction with AI chatbots by providing a clean, user-friendly interface. It removes the complexity of directly interacting with APIs or setting up environments, making AI accessible to a broader audience. It also addresses limitations of previous storage solutions by using a database (Supabase) for better security, storage, and multi-modal use cases.

What are the features of the project?

• User-friendly chat interface.
• Support for multiple AI models (OpenAI, Azure OpenAI, and potentially others via environment variables).
• Local model support via Ollama.
• Data storage using Supabase (Postgres database) for improved security and scalability.
• Authentication via Supabase.
• Easy updating mechanism (npm run update).
• Local and hosted deployment options.

What are the technologies used in the project?

• Frontend: Likely Next.js (indicated by NEXT_PUBLIC_ environment variables and Vercel deployment instructions).
• Backend: Supabase (Postgres database, authentication).
• Local Models: Ollama.
• AI APIs: OpenAI API, Azure OpenAI API.
• Deployment: Docker (for local Supabase), Vercel (for frontend hosting).
• Package Manager: npm.
• Other Tools: Supabase CLI.

What are the benefits of the project?

• Open-source: Free to use, modify, and distribute.
• User-friendly: Easy to use, even for non-technical users.
• Flexible: Supports multiple AI models and deployment options.
• Secure: Uses Supabase for secure data storage and authentication.
• Scalable: Database backend allows for growth and more complex use cases.
• Accessible: Makes AI interaction available to a wider audience.

What are the use cases of the project?

• Personal AI assistant: Users can interact with AI for various tasks, information retrieval, and creative writing.
• Prototyping chatbot applications: Developers can use the UI as a foundation for building more complex chatbot applications.
• Experimenting with different AI models: Users can easily switch between different models to compare their performance.
• Educational tool: Learning about and interacting with AI in a practical way.
• Customer service/support: (Potentially, with further development) Could be adapted for basic customer interaction.
• Content creation: Assisting with writing, brainstorming, and other content-related tasks.