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Towards Data Science
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Demo AI Products Like a Pro
- Data scientists often struggle to present AI products to audiences effectively and overcome technical difficulties.
- Gradio is a framework used to demonstrate machine learning/AI models and it integrates with the Hugging Face ecosystem.
- Gradio demos resolve common live demo problems, including engaging audiences, controlling the user experience and error-free product presentation.
- The application of Gradio can be extended to StreamLit with Python or Shiny with R.
- Blocks are the building blocks of Gradio applications used to gain more control over the demo display and add new tabs to control user flows.
- Gradio demos can be shared publicly with prospective customers using free platform Spaces, which provide permanent links but have costs attached to GPU instances ranging from $0.40 to $5 per hour.
- Custom components have been developed by other data scientists and developers as extensions on top of the Gradio framework.
- Gradio is useful for demonstrating machine learning models and AI. In the example, a linear regression model is used with the California House Prices dataset.
- Markdown can be utilized as the component to present information in text on Gradio.
- Gradio helps control the user experience and provides an easier way to engage audiences and control user flows.
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