Shim torchaudio.AudioMetaData for pyannote 3.4.0 compat with newer torchaudio, without touching torch stack versions

app.py

@@ -156,6 +156,34 @@ def _get_diar_pipe():
     if _diar_pipe is not None:
         return _diar_pipe
     import os
+    import torchaudio
+
+    # Compat shim: pyannote.audio 3.4.0 expects `torchaudio.AudioMetaData` at
+    # the top level (true in torchaudio 2.2.x). Newer torchaudio releases
+    # dropped that re-export even though the underlying class still exists.
+    # Reattach it from wherever it actually lives, without touching the
+    # installed torch/torchaudio versions (which the image/video generation
+    # tabs on this Space depend on).
+    if not hasattr(torchaudio, "AudioMetaData"):
+        _meta_cls = None
+        for _modpath in (
+            "torchaudio._backend.common",
+            "torchaudio.backend.common",
+            "torchaudio.io",
+        ):
+            try:
+                _mod = __import__(_modpath, fromlist=["AudioMetaData"])
+                _meta_cls = getattr(_mod, "AudioMetaData", None)
+                if _meta_cls is not None:
+                    break
+            except ImportError:
+                continue
+        if _meta_cls is not None:
+            torchaudio.AudioMetaData = _meta_cls
+            print(f"Shimmed torchaudio.AudioMetaData from {_modpath}", flush=True)
+        else:
+            print("WARN: could not find AudioMetaData to shim onto torchaudio", flush=True)
+
     from pyannote.audio import Pipeline as DiarPipeline
 
     token = os.environ.get("HF_TOKEN")