Example on using Langfuse to trace Gradio applications.
DocuQuery AI is an intelligent pdf chatbot
Generate code and answers with chat instructions
Uncesored
Chat with content from any website
Chat with an AI to solve complex problems
Chat with an AI that solves complex problems
Engage in chat with Llama-2 7B model
Interact with PDFs using a chatbot that understands text and images
Login to access chatbot features
Talk to a mental health chatbot to get support
Display chatbot leaderboard and stats
Generate chat responses using Llama-2 13B model
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.