content: """Document Analysis Pipeline - Production Ready with ZenML.
  
  This example demonstrates how to build and deploy a document analysis system
  as an HTTP endpoint using ZenML pipelines. Analyze documents with AI-powered
  summarization, keyword extraction, sentiment analysis, and readability scoring.
  
  Key Features:
  - Deploy pipelines as scalable HTTP endpoints
  - LLM-based analysis with deterministic fallbacks
  - Quality evaluation and continuous improvement
  - Web interface and programmatic client examples
  
  Main Components:
  - models.py: Pydantic data models
  - pipelines/: Document analysis and evaluation pipelines
  - steps/: Individual processing steps
  - streamlit_app.py: Web interface
  - run_evaluation.py: Quality assessment CLI
  """