feat: add Wav2Vec2 detector service to analysis route

app/routes/analyze.py

@@ -39,6 +39,7 @@ from ..services.vocal_analyzer import (
 from ..services.score_fusion import fuse_scores, FusionResult
 from ..services.clap_detector import CLAPDetectorService
 from ..services.fst_client import FSTClientService
+from ..services.wav2vec2_detector import Wav2Vec2DetectorService
 from ..services.inference_xai import get_xai_service
 from ..services.logging_config import get_logger
 
@@ -83,6 +84,7 @@ youtube_service = YouTubeAnalysisService()
 preview_model = PreviewModel()
 clap_service = CLAPDetectorService()
 fst_service = FSTClientService()
+wav2vec2_service = Wav2Vec2DetectorService()
 xai_service = get_xai_service()
 
 # Thread pool for CPU-bound audio analysis (feature extraction + vocal)
@@ -335,7 +337,7 @@ async def _analyze_file(
     warnings: List[str] = []
     loop = asyncio.get_event_loop()
 
-    # ── Run feature extraction + vocal analysis + CLAP in parallel ────
+    # ── Run feature extraction + vocal analysis + CLAP + wav2vec2 in parallel ──
     def _extract_features_sync():
         return extract_features(io.BytesIO(content))
 
@@ -345,9 +347,13 @@ async def _analyze_file(
     def _clap_predict_sync():
         return clap_service.predict(io.BytesIO(content))
 
+    def _wav2vec2_predict_sync():
+        return wav2vec2_service.predict(io.BytesIO(content))
+
     feat_future = loop.run_in_executor(_analysis_pool, _extract_features_sync)
     vocal_future = loop.run_in_executor(_analysis_pool, _analyze_vocals_sync)
     clap_future = loop.run_in_executor(_analysis_pool, _clap_predict_sync)
+    wav2vec2_future = loop.run_in_executor(_analysis_pool, _wav2vec2_predict_sync)
 
     # Await feature extraction first (required for fusion)
     try: