chore: удалён скрипт сравнения (не пригодился)

- Зачем:
  - сравнение сделано вручную, скрипт не использовался.
- Что:
  - удалён scripts/compare_backends.py.
- Проверка:
  - uv run pytest -q (172 passed).

scripts/compare_backends.py

@@ -1,66 +0,0 @@
-"""Compare onnx-asr vs OpenVINO backends on real audio files.
-
-Usage: python scripts/compare_backends.py /path/to/audio.mp3
-"""
-import sys
-import time
-from pathlib import Path
-from local_transcriber.transcriber import load_model, _transcribe_file
-from local_transcriber.backends import get_backend
-from local_transcriber.types import Segment
-
-
-def transcribe_with_backend(file_path: Path, device: str, model_name: str,
-                            compute_type: str, language: str | None) -> tuple[float, int, str]:
-    """Run transcription and return (elapsed_sec, segment_count, transcript_text)."""
-    start = time.monotonic()
-    model_obj, actual_device, backend, model_path = load_model(
-        model_name, device, compute_type,
-        strict_device=True,
-    )
-    tfr = _transcribe_file(
-        model_obj, actual_device, backend, model_path,
-        file_path, model_name, compute_type,
-        language=language,
-    )
-    elapsed = time.monotonic() - start
-    text = " ".join(s.text for s in tfr.result.segments)
-    return elapsed, len(tfr.result.segments), text
-
-
-def main():
-    if len(sys.argv) < 2:
-        print("Usage: python scripts/compare_backends.py <audio_file>")
-        sys.exit(1)
-
-    file_path = Path(sys.argv[1])
-    if not file_path.exists():
-        print(f"File not found: {file_path}")
-        sys.exit(1)
-
-    models_to_test = [
-        ("gigaam-v3", "onnx", "int8"),
-        ("parakeet-v3", "onnx", "int8"),
-        ("medium", "openvino-cpu", "int8"),
-    ]
-
-    print(f"File: {file_path.name} ({file_path.stat().st_size / 1e6:.1f} MB)")
-    print()
-
-    for model_name, device, ct in models_to_test:
-        print(f"--- {model_name} on {device} (compute={ct}) ---")
-        try:
-            elapsed, seg_count, text = transcribe_with_backend(
-                file_path, device, model_name, ct, language="ru" if "gigaam" in model_name else None,
-            )
-            print(f"  Time: {elapsed:.1f}s")
-            print(f"  Segments: {seg_count}")
-            print(f"  Text preview: {text[:200]}...")
-            print()
-        except Exception as e:
-            print(f"  ERROR: {e}")
-            print()
-
-
-if __name__ == "__main__":
-    main()