I created one example here https://github.com/liferoad/beam-multi_language_inference by following https://github.com/apache/beam/tree/master/sdks/python/apache_beam/examples/inference/multi_language_inference. This is not the same as what you asked for. But this should work if you package BigTableEnrichmentHandler like PytorchModelHandlerKeyedTensorWrapper in the example.
On Tue, Dec 24, 2024 at 3:56 AM Bartosz Kotwica <bartosz.kotw...@allegro.com> wrote: > Hi Apache Beam Team, > I hope this message finds you well. > I am working on a project that involves using multi-language pipelines in > Java. Specifically, I am trying to integrate a Python-based transformation, > Enrichment, with BigTableEnrichmentHandler within my Java code. Despite > several attempts, I am uncertain if this integration is feasible. I could > not find a way to create a handler and subsequently use it for the > transformation. > > Could you please provide support or share a minimal working example of > such a configuration? > > Thank you in advance for your help. > Best regards, > Bartosz Kotwica
