Hugging Face Course
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Provides code examples for the Hugging Face Machine Coder Program course, demonstrating tool integration and sentiment analysis.
About
This repository contains practical code examples specifically designed for the Hugging Face Machine Coder Program (MCP) course. It showcases how to implement and integrate local tools as MCP servers, with a focus on a sentiment analysis tool built using TextBlob. The examples guide users through configuring the MCP server, running it locally, and interacting with it, demonstrating the process of providing structured data (polarity, subjectivity, assessment) in response to queries, making it a valuable resource for learning about AI assistant tool development and integration.
Key Features
- Integrates TextBlob for sentiment analysis capabilities
- Provides examples for running and interacting with local MCP servers
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- Demonstrates MCP server configuration for AI assistant integration
- Showcases a Gradio API endpoint for MCP communication
Use Cases
- Practicing practical applications of the Hugging Face MCP course content
- Learning to develop and integrate custom tools with AI coding assistants
- Implementing sentiment analysis functionalities in a local server environment
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