ChatWise Project Description

What is the project about?

ChatWise is a chat application that supports multiple Large Language Models (LLMs) and offers offline functionality.

What problem does it solve?

It provides a unified interface for interacting with various LLMs, including those that require external APIs and those that can run locally. It also addresses the need for offline access to chat functionality. It allows users to interact with different file types.

What are the features of the project?

• Offline Functionality: Works completely offline (except for LLMs requiring external APIs).
• LLM Support: Supports various LLMs like OpenAI, Anthropic, Google AI, Groq, and Ollama.
• Multi-modal: Capable of handling different types of input.
• Text-to-Speech: Integrates text-to-speech using OpenAI and ElevenLabs.
• File Support:
  • Text files: Supported by all models.
  • PDF: Native support in Claude 3.5 Sonnet and Gemini; text extraction for other models.
  • Audio: Native support in Gemini and GPT-4o Audio.
  • Images: Supported by GPT-4o family, Gemini, Claude, and Groq Llama.

What are the technologies used in the project?

• LLMs: OpenAI, Anthropic, Google AI, Groq, Ollama.
• Text-to-Speech: OpenAI, ElevenLabs.

What are the benefits of the project?

• Flexibility: Users can choose from a variety of LLMs.
• Privacy/Offline Access: Core functionality works offline, enhancing privacy and usability in low-connectivity environments.
• Convenience: Supports multiple input formats (text, PDF, audio, images).
• Unified Interface: Provides a single platform to interact with different AI models.

What are the use cases of the project?

• Chatting with different AI models.
• Interacting with AI using various input types (text, documents, audio, images).
• Using chat functionality in environments with limited or no internet access.
• Leveraging text-to-speech for audio output of chat responses.