Model Orchestrator
0
Orchestrates multiple machine learning models for text processing via a REST API, with all model versions tracked by Git.
About
This Python application acts as a central hub for managing and serving simple machine learning models focused on text processing. It utilizes a Model Control Plane (MCP) to intelligently route incoming requests to the correct model, enabling tasks like text summarization, sentiment analysis, and keyword extraction through a user-friendly REST API powered by FastAPI. A key aspect is its robust version control, leveraging Git to track all model improvements and changes, ensuring traceability and easy rollbacks for the integrated ML capabilities.
Key Features
- Summarize text
- Extract keywords
- Analyze sentiment
- 0 GitHub stars
- Git versioning for all model changes
- REST API (FastAPI) for model access
Use Cases
- Integrating natural language capabilities into existing services
- Centralized management and deployment of multiple ML models
- Building AI-powered text processing applications
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