Update app.py

app.py

@@ -40,6 +40,12 @@ from neuttsair.neutts import NeuTTSAir
 
 # Explicitly use CPU as per Dockerfile and Hugging Face free tier compatibility
 DEVICE = "cpu" 
+N_THREADS = os.cpu_count() or 4
+os.environ['OMP_NUM_THREADS'] = str(N_THREADS)      # OpenMP (PyTorch/other parallel libraries)
+os.environ['MKL_NUM_THREADS'] = str(N_THREADS)      # Intel MKL (used by PyTorch on Intel/AMD CPUs)
+os.environ['NUMEXPR_NUM_THREADS'] = str(N_THREADS)  # For NumPy/NumExpr
+torch.set_num_threads(N_THREADS)                    # Explicit PyTorch core setting
+logger.info(f"⚙️ PyTorch configured to use {N_THREADS} CPU threads for max parallelism.")
 
 # ONNX Configuration
 USE_ONNX = True and ONNX_AVAILABLE  # Auto-disable if ONNX not available
@@ -47,7 +53,7 @@ ONNX_MODEL_DIR = "onnx_models"
 os.makedirs(ONNX_MODEL_DIR, exist_ok=True)
 
 # Configure Max Workers for concurrent synthesis threads
-MAX_WORKERS = min(4, (os.cpu_count() or 2))
+MAX_WORKERS = min(4, N_THREADS)
 tts_executor = ThreadPoolExecutor(max_workers=MAX_WORKERS)
 SAMPLE_RATE = 24000