HuggingFace MCP - Image Generation samples#25
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elbruno wants to merge 5 commits intomicrosoft:mainfrom
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HuggingFace MCP - Image Generation samples#25elbruno wants to merge 5 commits intomicrosoft:mainfrom
elbruno wants to merge 5 commits intomicrosoft:mainfrom
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…gging Face and Ollama APIs - Created Visual Studio solution file for the project. - Added MCP-01-HuggingFace project with necessary dependencies and implemented image generation logic. - Added MCP-02-HuggingFace-Ollama project with dependencies for OllamaSharp and implemented image generation logic. - Configured environment variables and user secrets for API keys and deployment names. - Implemented client setup for both Hugging Face and Ollama APIs to generate images based on user queries.
…CP-ConsoleApps - Created HFMCP.GenImage.sln with multiple projects including AppHost, ServiceDefaults, ApiService, and Web. - Established project configurations for Debug and Release modes. - Created HuggingFace-MCP-ConsoleApps.sln with solution properties and a unique SolutionGuid.
…gging Face MCP Server samples
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This pull request introduces a new feature for generating AI images using the Hugging Face MCP Server in C#. It includes updates to the repository's structure, documentation, and the addition of sample solutions, including console applications and a .NET Aspire Blazor WebApp. Additionally, it incorporates service defaults for resilience, health checks, and OpenTelemetry instrumentation. Below is a breakdown of the most important changes:
Documentation Updates:
Sample Solutions:
MCP-01-HuggingFaceandMCP-02-HuggingFace-Ollama) demonstrate connecting to the Hugging Face MCP Server, listing tools, and generating images from text prompts using cloud-hosted or local models.HFMCP.GenImage.Web) for AI-powered image generation with a user-friendly interface and extensible architecture. Includes setup instructions and supported models.Infrastructure Enhancements:
HFMCP.GenImage.ServiceDefaults) to provide common services such as resilience, health checks, and OpenTelemetry instrumentation for all service projects in the solution. [1] [2]HFMCP.GenImage.ApiService) with OpenAPI support, health checks, and default endpoints for interacting with AI models. [1] [2] [3]Application Host:
HFMCP.GenImage.AppHost) to manage the solution's components, including the API service and web frontend. Configured health checks and service references for seamless integration. [1] [2]Web Frontend Enhancements:
App.razorandMainLayout.razor, to structure the user interface and provide navigation. [1] [2]