Fix numpy 2.x crash: bump tensorboard to 2.18 + np.bool8 compat shim

tensorboard 2.9 references np.bool8 which was removed in NumPy 2.x, crashing synthesis at import time (via audiotools). Upgraded tensorboard to 2.18.0 and added a numpy compat shim as a safety net for other legacy pinned libraries.

app.py

@@ -86,6 +86,18 @@ def _download_model() -> Path:
     return MODEL_DIR
 
 
+def _patch_numpy_compat() -> None:
+    """Restore NumPy aliases removed in NumPy 2.x for legacy pinned libraries.
+
+    Old tensorboard/keras code (imported via audiotools) references np.bool8,
+    which no longer exists in NumPy 2.x, crashing synthesis at import time.
+    """
+    import numpy as np
+
+    if not hasattr(np, "bool8"):
+        np.bool8 = np.bool_
+
+
 def _warm_up() -> None:
     """Prepare dependencies and model files at Space startup, on the CPU.
 
@@ -94,6 +106,7 @@ def _warm_up() -> None:
     longer.
     """
     try:
+        _patch_numpy_compat()
         _install_runtime_dependencies()
         _download_model()
         print("[warmup] runtime dependencies and model snapshot are ready", flush=True)
@@ -143,6 +156,7 @@ def _get_tts():
             if not torch.cuda.is_available():
                 raise RuntimeError("CUDA GPU is not available in this Space.")
 
+            _patch_numpy_compat()
             _install_runtime_dependencies()
             model_dir = _download_model()
             from indextts.infer_v2 import IndexTTS2

requirements.txt

@@ -30,4 +30,4 @@ WeTextProcessing
 requests>=2.28
 tqdm>=4.67.1
 protobuf==3.19.6
-tensorboard==2.9.1
+tensorboard==2.18.0