initial commit: native macOS app for transcriptor-ai

SwiftUI app, the one-click way to use the local transcription pipeline —
installs and runs with no separate manual steps. The Xcode build phase
(scripts/embed-binaries.sh) builds audiotee (git submodule, pinned to a
commit on our own Gitea fork) and transcriptor-ai + qwen_asr (sibling
checkout, which itself vendors qwen-asr as a submodule), then embeds all
three binaries in the app bundle. The AI model is the one thing still
fetched at runtime, via ModelManager.swift, since it's multi-GB and
doesn't belong baked into a build.

Also implements: model download with real progress UI, capture source
selection (system/mic/both), a Settings window for the transcript save
location and a glossary file (biases ASR toward proper nouns/product
names via qwen_asr's --prompt), and a live chat-bubble transcript view.

See CLAUDE.md for the full architecture, the reasoning behind each
decision, and a fairly long list of real bugs found via actual testing
(not just code review) — TCC permission escalation through a subprocess
tree, SwiftUI Form/Grid layout quirks, @State vs @AppStorage persistence,
a prompt-leakage bug in the glossary feature, and more.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

transcriptorTests/transcriptorTests.swift

@@ -0,0 +1,18 @@
+//
+//  transcriptorTests.swift
+//  transcriptorTests
+//
+//  Created by Stéphane Tailland on 08/08/2026.
+//
+
+import Testing
+
+struct transcriptorTests {
+
+    @Test func example() async throws {
+        // Write your test here and use APIs like `#expect(...)` to check expected conditions.
+        // Swift Testing Documentation
+        // https://developer.apple.com/documentation/testing
+    }
+
+}