Glad to hear the contribution is appreciated!

I'd love to fix the tests and add more, but looking deeper into the issue I am not sure my fix is the correct approach, as it requires changing all lines with .dependency(request) to .dependency(request).__anext__(), and I can't imagine this is desired syntax, it feels hacky. Besides this, if I add the line assert not m.profile_pic.file.closed to for example the test_file_submit test, and I do not include my fix, the test actually passes, which is surprising.

I find my mental model of the control flow through the layers of FastUI/FastAPI/Starlette (especially with classes like Starlette'sAwaitableOrContextManagerWrapper) is not sufficient at this time to be confident in further code changes.
I can dive deeper, but don't have the bandwidth right now. I hope to find time for this in the near future, but if anyone else feels confident in the changes that are required here, I'm open to guidance or someone else stepping in.

Well the tests having odd syntax isn't the end of the world as long as real world cases are handled correctly and elegantly.

I think the solution might be as simple as adding @asynccontextmanager to run_fastui_form, then using async with in the tests instead of just await. To get tests to fail correctly, I guess you'll need to update FakeRequest to to someone close any files after they're returned.

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (c3cacbb) 94.30% compared to head (e6ccc96) 94.31%.

@@ Coverage Diff @@
## main #170 +/- ##
==========================================
+ Coverage 94.30% 94.31% +0.01% 
==========================================
 Files 11 11 
 Lines 755 757 +2 
==========================================
+ Hits 712 714 +2 
 Misses 43 43 

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Thanks for the guidance!
I've added the @asynccontextmanager, updated the syntax of the tests to use async with, updated the FakeRequest to close files after yielding, added assert not {filehandler}.closed wherever UploadFile is used, and all tests now pass.
I've rebased on main, if there's anything else this PR needs let me know.

@samuelcolvin Any progress on this ?
Currently I'm using the monkeypatch @gradient-ascent-ai-lab suggested here, but prefer avoiding this of course.

I've run into this issue myself. Is this PR going to make it to master or is there another better fix?

@sydney-runkle / @samuelcolvin, seems like this PR is ready to be merged and would be
very useful for many users. Mind taking another look when you have a chance? Thanks