aichatlite 0.3.0

claude chat

🤖 omni-ai

Transform your AI interactions with omni-ai, an innovative open-source chatbot system that brings Claude-like capabilities to everyone using Hugging Face's most powerful open models. Built around the cutting-edge Qwen2.5-70B, our system delivers enterprise-grade conversational AI without the enterprise price tag.

🌟 Why omni-ai?

• 🧠 Powered by state-of-the-art Qwen2.5-70B model - the most capable open-source alternative to proprietary AI
• 🎭 Implements Claude-inspired prompting techniques for human-like interactions
• 🔗 Seamless integration with HuggingFace's ecosystem
• 🎨 Beautiful artifact rendering similar to Claude's interface
• 🌐 Built-in web search capabilities for real-time knowledge
• 📚 Multiple specialist modes: Coding, Research, Analysis, and more
• 💡 Smart context handling and conversation memory
• 🚀 Fast response times with streaming output
• 💰 completely FREE to use with open source models

🎯 Perfect For:

• 💻 Developers seeking a powerful coding assistant
• 📊 Data scientists needing analysis help
• 🔍 Researchers requiring smart search integration
• 🎓 Students looking for learning support
• 🏢 Teams wanting Claude-like features without the cost

✨ Features

• 🎯 Multiple AI models support
• 💬 Interactive chat interface
• 🔍 Web search integration
• 📱 Clean and responsive UI
• 🎨 Beautiful artifact rendering
• 🤝 Multiple agent types for different use cases

🚀 Installation

pip install aichatlite

📖 Quick Start

Launch the UI with a single command:

claude-chat

This will start the web interface on port 8501.

🎮 Available Models

Model Type	Description
🖥️ Coding	Qwen2.5-Coder-32B-Instruct - Specialized for programming tasks
🌐 General	Qwen2.5-72B-Instruct - Best for general-purpose use
🔮 Preview	QwQ-32B-Preview - Latest experimental features
💭 Conversational	Hermes-3-Llama-3.1-8B - Optimized for natural dialogue
📱 Mini	Phi-3.5-mini-instruct - Lightweight model for basic tasks

🤝 Agent Types

• QuestionAnswer: Direct response to queries
• Reasoning: In-depth analytical responses
• GoogleSearchAI: Web-enhanced responses
• SearchAI: Alternative search implementation
• GoogleSearch: Basic web search integration
• DeepGoogleSearch: Advanced web research capabilities

📸 UI Screenshots

Here's how the interface looks in action:

🗺️ Roadmap

• ✅ Feature 1: Integrate hugchat and launch UI
• ✅ Feature 2: Web search integration (available in aichatlite-web-release branch)
• 🔄 Feature 3: PDF Chat integration
• 🔄 Feature 4: AI Researcher capabilities (arxiv, google scholar, etc.)

💡 Advanced Usage

Selecting Models

Choose from different models based on your needs:

• Use Coding model for programming tasks
• General model for everyday queries
• Preview model for testing new features
• Mini model for quick, simple responses

Agent Types

Different agents for different tasks:

• QuestionAnswer: Quick, direct responses
• Reasoning: Detailed analytical answers
• Various search options for web-enhanced responses

AVAILABLE MODELS

• "Qwen/Qwen2.5-72B-Instruct"
• "Qwen/QwQ-32B-Preview"
• "Qwen/Qwen2.5-Coder-32B-Instruct"
• "NousResearch/Hermes-3-Llama-3.1-8B"
• "microsoft/Phi-3.5-mini-instruct"
• "meta-llama/Llama-3.1-8B-Instruct"
• "meta-llama/Llama-3.2-1B-Instruct"
• "meta-llama/Llama-3.2-3B-Instruct"
• "01-ai/Yi-1.5-34B-Chat"
• "codellama/CodeLlama-34b-Instruct-hf"
• "google/gemma-1.1-7b-it"
• "google/gemma-2-2b-it"
• "google/gemma-2-9b-it"
• "google/gemma-2b-it"
• "HuggingFaceH4/starchat2-15b-v0.1"
• "HuggingFaceH4/zephyr-7b-alpha"
• "HuggingFaceH4/zephyr-7b-beta"
• "meta-llama/Llama-2-7b-chat-hf"
• "meta-llama/Meta-Llama-3-8B-Instruct"
• "microsoft/DialoGPT-medium"
• "microsoft/Phi-3-mini-4k-instruct"
• "mistralai/Mistral-7B-Instruct-v0.2"
• "mistralai/Mistral-7B-Instruct-v0.3"
• "mistralai/Mixtral-8x7B-Instruct-v0.1"
• "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO"
• "Qwen/Qwen2.5-1.5B-Instruct"
• "Qwen/Qwen2.5-3B-Instruct"
• "tiiuae/falcon-7b-instruct"
• "uschreiber/llama3.2"

Ui Progress

📝 License

[Add your license information here]