Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.

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Hey, hello.I have a dataframe with 150ish columns, which schema was inferred with `pandera.infer_schema`. Now, I want to build a model inference server with fastapi. The thing is, I have no way of converting `DataFrameSchema` to `SchemaModel` , so that it can be used with FastAPI and have nicely generated Swagger UI docs.
Can anyoone help me convert  `DataFrameSchema` to `SchemaModel` ? Or get to a solution to use with FastAPI?

Otherwise, is this pattern the way to go?
<https://madewithml.com/courses/mlops/api/#extras>

hey <@U04CH1R7J0G> I just mentioned this on your other message, but for pandera-specific questions please re-post this on discord! <https://discord.com/invite/vyanhWuaKB>

I’ll see you there