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Endigest AI Core Summary
Gradio Server enables building custom frontends with Gradio's backend infrastructure, combining design freedom with production-grade ML serving.
•Gradio Server extends FastAPI with Gradio's queuing, concurrency management, and ZeroGPU support, eliminating GPU conflicts from concurrent requests
•Text Behind Image example demonstrates a custom HTML/CSS/JavaScript application using BiRefNet for ML-based background removal with drag-and-drop canvas and advanced text styling controls
•@app.api() decorator provides automatic request queuing and GPU concurrency handling while maintaining gradio_client compatibility for programmatic access
•Frontend uses vanilla JavaScript with Gradio JS Client library, requiring no build tools or frameworks, with client-side PNG export via canvas compositing
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Developers can now choose between Gradio's UI components or custom frontends while retaining Spaces hosting, API infrastructure, queuing, and ecosystem integration
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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