fix: move WhisperX off yanked release

[MapleEve]

Summary

• move WhisperX from the yanked 3.1.x package series to whisperx==3.3.1
• pin compatible pyannote/audio-adjacent dependencies that stay on the current numpy<2 and SciPy 1.11.x baseline
• document the dependency change in both changelogs

Why 3.3.1

• WhisperX 3.1.5 and 3.1.6 are yanked on PyPI
• 3.3.1 is non-yanked and still works with the current torch 2.6 / numpy<2 dependency lane
• 3.3.3+ moves to numpy>=2, and the latest 3.8.x line also moves to a newer torch / pyannote stack, so that should be a separate dependency-platform upgrade

Validation

• public release scan passed
• git diff --check passed
• targeted unit tests passed: tests/unit/test_provider_registry.py, tests/unit/test_pipeline_model_lifecycle.py, tests/unit/test_huggingface_models.py
• dependency dry-run for the WhisperX/pyannote path passed when excluding the existing optional DeepFilterNet local Rust build path

Notes

• Full local requirements dry-run on macOS still stops at the existing DeepFilterLib source build because the local host has no Rust toolchain; this is unrelated to the WhisperX yanked fix.

[github-actions]

👍 @MapleEve

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 77.59%. Comparing base (70aa0f6) to head (e346b55).
✅ All tests successful. No failed tests found.

Additional details and impacted files

@@           Coverage Diff           @@
##             main      #27   +/-   ##
=======================================
  Coverage   77.59%   77.59%           
=======================================
  Files          75       75           
  Lines        2906     2906           
=======================================
  Hits         2255     2255           
  Misses        651      651           

Flag	Coverage Δ
unit	77.59% <ø> (ø)

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[chatgpt-codex-connector]

💡 Codex Review

VoScript/app/requirements.txt

Line 40 in e346b55

whisperx==3.3.1

Keep CTranslate2 compatible with the CUDA image

In the Docker image this service builds from pytorch/pytorch:2.6.0-cuda12.4-cudnn9-runtime, this pin pulls in WhisperX 3.3.1's ctranslate2<4.5.0 requirement. CTranslate2 4.5.0 is the release that switched the Python wheel to cuDNN 9 support, so the resolver now selects 4.4.x against a cuDNN 9 base image; any GPU ASR path that lazy-loads faster_whisper.WhisperModel on cuda will fail to initialize the CTranslate2 backend instead of using the container's CUDA stack.

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[Copilot]

Pull request overview

This PR updates the dependency set used for WhisperX-based forced alignment to avoid installing yanked WhisperX 3.1.x releases, while keeping the project on the existing numpy<2 / SciPy 1.11.x baseline.

Changes:

• Bump WhisperX from 3.1.6 (yanked) to whisperx==3.3.1.
• Update/pin pyannote and adjacent dependencies (pyannote.audio==3.3.2, bounded pyannote.*, pandas<3, faster-whisper==1.1.0) to stay compatible with the current numeric stack.
• Document the change in both English and Chinese changelogs under Unreleased.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

File	Description
doc/changelog.zh.md	Adds an Unreleased entry documenting the WhisperX/pyannote dependency move and numeric stack constraints.
doc/changelog.en.md	Adds the corresponding Unreleased entry in English describing the same dependency changes.
app/requirements.txt	Moves off yanked WhisperX 3.1.x to whisperx==3.3.1 and pins/bounds related dependencies to maintain numpy<2 / SciPy 1.11.x compatibility.

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[github-actions]

❤️ Great PR @MapleEve ❤️

The growth of project is inseparable from user feedback and contribution, thanks for your contribution!
项目的成长离不开用户反馈和贡献，感谢您的贡献!