Introduction
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In the previous lessons, you learned how to use Azure AI Content Safety solutions to develop text and image moderation solutions for your applications. In this lesson, you’ll use your knowledge to implement a multi-modal content moderation system for your Fooder app.
This time, you’ll not only write Python code and perform the function call to see how the moderation functionality works — you’ll also test it in a real web app, built using the Streamlit framework.
By the end of this lesson, you will:
- Develop a multi-modal content moderation system, combining text and image analysis.
- Implement human-in-the-loop strategies for edge cases and appeals.
- Evaluate the effectiveness and limitations of Azure Content Safety in real-world scenarios.