* Relax triton requirements for compatibility with pytorch 2.4 and newer
Similar to https://github.com/openai/whisper/pull/1802, but now when pytorch upgrades to 2.4, it requires triton==3.0.0. I am not sure if it makes sense to remove the upper bound version constraints
* Update requirements.txt
* word-level timestamps in `transcribe()`
* moving to `timing.py`
* numba implementation for dtw, replacing dtw-python
* triton implementation for dtw
* add test for dtw implementations
* triton implementation of median_filter
* a simple word-level timestamps test
* add scipy as dev dependency
* installs an older version of Triton if CUDA < 11.4
* fix broken merge
* loosen nvcc version match regex
* find_alignment() function
* miscellaneous improvements
* skip median filtering when the input is too small
* Expose punctuation options in cli and transcribe() (#973)
* fix merge error
* fix merge error 2
* annotating that word_timestamps is experimental
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Co-authored-by: ryanheise <ryan@ryanheise.com>
* Add github action to automatically push to pypi on Release x.y.z commit
* some housekeeping for pypi upload
* add version.py
Co-authored-by: Jong Wook Kim <jongwook@nyu.edu>
