Say out loud that Windows on ARM gets an emulated whisper

Checked against the release listings rather than guessed: whisper.cpp publishes
Win32 and x64 for Windows and nothing else, while llama.cpp does publish
bin-win-cpu-arm64.zip. So a Snapdragon machine gets a native cleanup model and
an emulated transcriber, which is slow enough that the cloud is the better
answer there, and neither the code nor the README said so.

The test pins it, so that a whisper.cpp release which does start publishing an
arm64 build turns the choice red rather than being quietly ignored.

README.windows.md

@@ -54,7 +54,9 @@ python dikte.py
 
 - The local install fetches whisper.cpp's **OpenBLAS build**, which
   transcribes about twice as fast as the stock one on a plain CPU. There is
-  no GPU build to fetch for machines without an NVIDIA card.
+  no GPU build to fetch for machines without an NVIDIA card, and none for
+  Windows on ARM either: whisper.cpp publishes x64 only, so a Snapdragon
+  machine runs it under emulation and the cloud is the faster option there.
 - Setting Settings → API and models → **Threads** near your physical core
   count helps noticeably; the server's own default is 4.
 - If speed matters more than accuracy, `ggml-small` and `ggml-base` are much