Update requirements.txt

requirements.txt

@@ -1,18 +1,23 @@
 # ---------------------------------------------------------------------------
 # Sonogram app -- requirements.txt for the Hugging Face Space
-# Replaces the original, which was missing scikit-learn entirely and
-# pinned an outdated CUDA 11.3 wheel index that isn't needed on HF's
-# managed hardware.
 #
-# NOTE: unlike a self-hosted server, HF Spaces provisions the CUDA runtime
-# for you based on the Space's selected hardware tier (CPU / T4 / A10G /
-# etc.), so there's no need for a custom --extra-index-url here -- plain
-# `torch`/`torchaudio` from PyPI will pull a CUDA-enabled build automatically
-# when the Space's hardware tier has a GPU.
+# IMPORTANT: torch/torchaudio are now EXACT pins, not floors. An open ">="
+# let pip grab whatever is newest at build time, which on a fresh Python 3.13
+# build resolved to a torch/torchaudio pairing that doesn't expose
+# torchaudio.AudioMetaData the way pyannote.audio 3.4.0 expects -- causing
+# an ImportError at startup. Pinning to the exact version we've actually
+# verified working avoids that drift.
+#
+# ALSO REQUIRED: set this Space to Python 3.10 or 3.11 in your README.md
+# YAML header, e.g.:
+#     python_version: "3.11"
+# Everything here has only been verified on 3.10/3.11. Python 3.13 is very
+# new and this whole stack (torch/torchaudio/pyannote.audio) hasn't been
+# confirmed compatible with it.
 # ---------------------------------------------------------------------------
 
-torch>=2.5.1
-torchaudio>=2.5.1
+torch==2.5.1
+torchaudio==2.5.1
 
 # --- Core diarization pipeline ------------------------------------------
 pyannote.audio==3.4.0