Example on using Langfuse to trace Gradio applications.
llama.cpp server hosting a reasoning model CPU only.
Chatbot
Qwen-2.5-72B on serverless inference
Chat with a helpful assistant
Advanced AI chatbot
Chat with an AI to solve complex problems
Create and manage OpenAI assistants for chat
NovaSky-AI-Sky-T1-32B-Preview
Chat with a helpful AI assistant in Chinese
Talk to a language model
Compare chat responses from multiple models
Generate responses and perform tasks using AI
Gradio Example Template is a pre-built template designed to help users create and demonstrate AI applications quickly. It provides a simpler starting point for developers to build and showcase their AI models using Gradio, an open-source library for creating machine learning demos and interfaces. This template is particularly useful for chatbot applications, allowing users to interact with AI models in a friendly and intuitive way.
• Pre-designed Interface: A clean and user-friendly interface to interact with AI models. • Real-time Interaction: Enable real-time communication between users and AI assistants. • Customizable: Easily modify the template to fit your specific AI application needs. • Sharing Capabilities: Share your AI application with others using a simple URL. • Integration Ready: Built to integrate with popular AI models and frameworks. • Code Examples: Includes example code to accelerate development and learning.
pip install gradio.gradio run command to start the server.What is Gradio used for?
Gradio is an open-source library for creating machine learning demos and interfaces. It allows developers to turn AI models into shareable web applications with just a few lines of code.
Can I customize the Gradio Example Template?
Yes, the template is fully customizable. You can modify the interface, integrate different AI models, and add additional features to suit your needs.
How do I share my Gradio application?
Once your Gradio application is running, it generates a URL that you can share with others. They can access the application directly through the link in their web browser.