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Local LLM Chat

Builds a local LLM chat application leveraging Ollama, FastAPI, and Gradio to validate Model Control Protocol (MCP) implementation patterns.

关于

This project provides a robust testing environment for the Model Control Protocol (MCP), a standardized architecture for LLM applications. It integrates a local large language model (LLM) via Ollama, establishes a control layer with FastAPI for request handling and model interaction, and presents an intuitive user interface built with Gradio. The application serves as a clear demonstration of separating responsibilities across the model, control, and presentation layers, facilitating the validation of component interactions and overall system flow within an MCP framework.

主要功能

  • Implements a local LLM chat interface
  • Provides an intuitive Gradio-based user interface
  • 0 GitHub stars
  • Utilizes FastAPI for efficient backend API processing and control layer functionality
  • Supports multiple models (e.g., Mistral) via Ollama
  • Demonstrates core MCP implementation patterns including prompt handling, model selection, and response generation

使用案例

  • Exploring design patterns for chat interfaces involving backend and frontend components
  • Testing integration methods for local large language models (LLMs) with a layered architecture
  • Validating fundamental Model Control Protocol (MCP) implementation patterns
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Local LLM Chat: Ollama, FastAPI & Gradio for MCP Validation