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Orchestrate Content Pipeline with Airflow and Build Streamlit UI
Linked challenge: Agent for Ethical, Personalized Content Recommendation
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Outline an Apache Airflow DAG that orchestrates the content ingestion, summarization (using your `SummarizerAgent`), embedding generation, and updating of the pgvector database. Separately, describe how you would build a simple Streamlit UI to display the generated summaries and personalized recommendations for a given user, ensuring the interface clearly communicates the 'ad-free' nature. Provide a high-level Airflow DAG structure and a conceptual Streamlit Python script.