Example: Gradio ChatInterface🤗#

Description:

This example showcases how to build a chatbot with 120 lines of code with Gradio ChatInterface and Xinference local LLM

Used Technology:

@ Xinference as a LLM model hosting service

@ Gradio as a web interface for the chatbot

Detailed Explanation on the Demo Functionality :

  • Parse user-provided command line arguments to capture essential model parameters such as model name, size, format, and quantization.

  • Establish a connection to the Xinference framework and deploy the specified model, ensuring it’s ready for real-time interactions.

  • Implement helper functions (flatten and to_chat) to efficiently handle and store chat interactions, ensuring the model has context for generating relevant responses.

  • Set up an interactive chat interface using Gradio, allowing users to communicate with the model in a user-friendly environment.

  • Activate the Gradio web interface, enabling users to start their chat sessions and receive model-generated responses based on their queries.

Source Code :