fix(deps): pin torch and torchaudio for stable install

Bump version to 0.1.1 and constrain torch/torchaudio to <2.9 to avoid runtime failures caused by newer torchaudio requiring torchcodec for audio I/O.

Also update docs to clarify that diarize installs a compatible torch/torchaudio range automatically.

Author: loookashow

README.md

@@ -58,6 +58,7 @@ result.to_rttm("meeting.rttm")
 ```
 
 Requires Python 3.9+. Supports WAV, MP3, FLAC, OGG, and other formats via soundfile/libsndfile.
+`diarize` pins a compatible `torch/torchaudio` range during install, so no extra manual pinning is required.
 
 📖 **[Full documentation](https://foxnosetech.github.io/diarize/)** — installation, API reference, architecture, benchmarks.
 

docs/index.md

@@ -11,6 +11,7 @@ pip install diarize
 ```
 
 Requires Python 3.9+. All models download automatically on first use.
+`diarize` installs a compatible `torch/torchaudio` range automatically.
 
 ```python
 from diarize import diarize

docs/quickstart.md

@@ -7,7 +7,8 @@ pip install diarize
 ```
 
 Requires Python 3.9+. All models (Silero VAD, WeSpeaker) are downloaded
-automatically on first use.
+automatically on first use. `diarize` also installs a compatible
+`torch/torchaudio` range automatically.
 
 ## Basic Usage
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "diarize"
-version = "0.1.0"
+version = "0.1.1"
 description = "Speaker diarization for Python — detect who spoke when in audio files. CPU-only, no GPU, no API keys, no account signup. Automatic speaker count detection."
 readme = "README.md"
 license = "Apache-2.0"
@@ -51,8 +51,8 @@ dependencies = [
     "pydantic>=2.0",
     "eval_type_backport>=0.2.0; python_version < '3.10'",
     "soundfile>=0.12",
-    "torch>=1.13",
-    "torchaudio>=0.13",
+    "torch>=1.13,<2.9",
+    "torchaudio>=0.13,<2.9",
     "silero-vad>=5.0",
     "wespeakerruntime>=1.0",
     "scikit-learn>=1.2",