Leveraging the modular architecture of GenAI Processors significantly reduces the amount of coding:
- Basic inheritance: New Processor Inheritance
processor.Processorclass, which only needs to implement thecallMethods handle core logic - Pipeline combinations: By
+Operators connect existing processors (such asVideoIn() + AudioProcessor()) - Community Reuse: Direct use
contrib/Community Contribution Module in the Catalog - Template Reference: In accordance with
create_your_own_processor.ipynbstandardized process development
A typical custom processor requires only about 20 lines of core code to achieve functionality encapsulation.
This answer comes from the articleGenAI Processors: lightweight Python library supports efficient parallel processing of multimodal contentThe
May not be reproduced without permission:AI productivity tools " What are some specific ways to eliminate duplicate coding efforts in custom AI processor development?
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