Improve import UX: progress overlay, pyannote fix, debug logging

- Enhanced ProgressOverlay with spinner, better styling, and z-index 9999
- Import button shows "Processing..." with pulse animation while transcribing
- Fix pyannote API: use token= instead of deprecated use_auth_token=
- Read HF_TOKEN from environment for pyannote model download
- Add console logging for click-to-seek debugging
- Add color-scheme: dark for native form controls

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

python/voice_to_notes/services/diarize.py

@@ -40,40 +40,39 @@ class DiarizeService:
         if self._pipeline is not None:
             return self._pipeline
 
+        import os
+
         print("[sidecar] Loading pyannote diarization pipeline...", file=sys.stderr, flush=True)
 
-        try:
-            from pyannote.audio import Pipeline
+        hf_token = os.environ.get("HF_TOKEN") or os.environ.get("HUGGING_FACE_HUB_TOKEN") or None
 
-            self._pipeline = Pipeline.from_pretrained(
-                "pyannote/speaker-diarization-3.1",
-                use_auth_token=False,
-            )
-        except Exception:
-            # Fall back to a simpler approach if the model isn't available
-            # pyannote requires HuggingFace token for some models
-            # Try the community model first
+        models = [
+            "pyannote/speaker-diarization-3.1",
+            "pyannote/speaker-diarization",
+        ]
+
+        last_error: Exception | None = None
+        for model_name in models:
             try:
                 from pyannote.audio import Pipeline
 
-                self._pipeline = Pipeline.from_pretrained(
-                    "pyannote/speaker-diarization",
-                    use_auth_token=False,
-                )
+                self._pipeline = Pipeline.from_pretrained(model_name, token=hf_token)
+                print(f"[sidecar] Loaded diarization model: {model_name}", file=sys.stderr, flush=True)
+                return self._pipeline
             except Exception as e:
+                last_error = e
                 print(
-                    f"[sidecar] Warning: Could not load pyannote pipeline: {e}",
+                    f"[sidecar] Warning: Could not load {model_name}: {e}",
                     file=sys.stderr,
                     flush=True,
                 )
-                raise RuntimeError(
-                    "pyannote.audio pipeline not available. "
-                    "You may need to accept the model license at "
-                    "https://huggingface.co/pyannote/speaker-diarization-3.1 "
-                    "and set a HF_TOKEN environment variable."
-                ) from e
 
-        return self._pipeline
+        raise RuntimeError(
+            "pyannote.audio pipeline not available. "
+            "You may need to accept the model license at "
+            "https://huggingface.co/pyannote/speaker-diarization-3.1 "
+            "and set a HF_TOKEN environment variable."
+        ) from last_error
 
     def diarize(
         self,