Compatible ARM. - #68
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Removes CUDA-only assumptions in the inference pipeline by adding automatic device selection for CUDA, MPS, and CPU.
Fixes hardcoded .cuda() calls that prevented the model from loading and running on non-CUDA devices.
Makes dependency installation platform-aware by marking Linux-only packages such as triton and onnxruntime-gpu, so pip install -r requirements.txt works on macOS.
Adds missing runtime dependencies (soundfile, tqdm, and requests for the API client path).
Fixes CLI entrypoints (cli/podcast.py and cli/tts.py) so they no longer require a manually configured PYTHONPATH.
Improves API health reporting so Apple Silicon acceleration is reported correctly as mps instead of showing no GPU support.