Example on using Langfuse to trace Gradio applications.
Interact with a Korean language and vision assistant
Engage in chat conversations
Marin kitagawa an AI chatbot
Chat with PDF documents using AI
llama.cpp server hosting a reasoning model CPU only.
Generate human-like text responses in conversation
Chat with an AI that solves complex problems
Generate conversational responses to text input
Reasoner
ChatBot Qwen
Ask legal questions to get expert answers
Run Llama,Qwen,Gemma,Mistral, any warm/cold LLM. No GPU req.
Gradio Example Template is a starter template designed to help users create interactive chatbot interfaces using Gradio. It serves as a foundation for building AI-powered applications, providing a pre-configured structure that can be customized according to specific needs. The template is particularly useful for demonstrating how to integrate AI models into user-friendly interfaces.
• Pre-built chat interface: Provides a ready-to-use interface for interacting with AI models.
• Langfuse integration: Built to work seamlessly with Langfuse for tracing and analyzing AI model outputs.
• Customizable: Allows users to modify the interface and integrate their own AI models.
• User-friendly design: Focuses on simplicity and ease of use for non-technical users.
pip install -r requirements.txt to install all necessary libraries.python app.py to launch the Gradio app.What is the purpose of the Gradio Example Template?
The template provides a starting point for building AI-powered chat applications, making it easier to integrate and test AI models in a user-friendly environment.
Can I customize the interface beyond the template?
Yes, the template is fully customizable. Users can modify the layout, add new features, or integrate different AI models as needed.
What is Langfuse, and how is it used here?
Langfuse is a tool for tracing and analyzing AI model outputs. The template demonstrates how to use Langfuse to monitor and debug AI interactions within the Gradio interface.