Upgrade faster-whisper to v1.1.0

CHANGELOG.md

@@ -14,6 +14,11 @@ Unreleased
 
   - Refactor classes, Add comments, implement abstract methods, and add factory method for engine selection
 
+### Changed
+
+- Upgraded
+  - [SYSTRAN/faster-whisper](https://github.com/SYSTRAN/faster-whisper) to [v1.1.0](https://github.com/SYSTRAN/faster-whisper/releases/tag/v1.1.0)
+
 [1.6.0] (2024-10-06)
 --------------------
 

docs/environmental-variables.md

@@ -15,8 +15,7 @@ export ASR_ENGINE=faster_whisper
 export ASR_MODEL=base
 ```
 
-Available ASR_MODELs are `tiny`, `base`, `small`, `medium`, `large`, `large-v1`, `large-v2`, `large-v3`, `turbo`(only
-OpenAI Whisper) and `large-v3-turbo`(only OpenAI Whisper).
+Available ASR_MODELs are `tiny`, `base`, `small`, `medium`, `large`, `large-v1`, `large-v2`, `large-v3`, `turbo` and `large-v3-turbo`.
 
 For English-only applications, the `.en` models tend to perform better, especially for the `tiny.en` and `base.en`
 models. We observed that the difference becomes less significant for the `small.en` and `medium.en` models.

poetry.lock

@@ -375,21 +375,22 @@ standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "htt
 
 [[package]]
 name = "faster-whisper"
-version = "1.0.3"
+version = "1.1.0"
 description = "Faster Whisper transcription with CTranslate2"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "faster-whisper-1.0.3.tar.gz", hash = "sha256:1a145db86450b56aaa623c8df7d4ef86e8a1159900f60533e2890e98e8453a17"},
-    {file = "faster_whisper-1.0.3-py3-none-any.whl", hash = "sha256:364d0e378ab232ed26f39656e5c98548b38045224e206b20f7d8c90e2745b9d3"},
+    {file = "faster-whisper-1.1.0.tar.gz", hash = "sha256:cea4bba5d4527173fdbacafa56f2ffb17dd322688f6c3fdf5fd7b6b6c193ce17"},
+    {file = "faster_whisper-1.1.0-py3-none-any.whl", hash = "sha256:0f2d025676bbff1e46c4108b6f9a82578d6e33826c174af2990e45b33fab6182"},
 ]
 
 [package.dependencies]
-av = ">=11.0,<13"
+av = ">=11"
 ctranslate2 = ">=4.0,<5"
 huggingface-hub = ">=0.13"
 onnxruntime = ">=1.14,<2"
 tokenizers = ">=0.13,<1"
+tqdm = "*"
 
 [package.extras]
 conversion = ["transformers[torch] (>=4.23)"]
@@ -2003,4 +2004,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "3a007512112802c1d81dea2788a1e5523f701cf84ba97a163e7ac1882707e119"
+content-hash = "c190cb1d67e7b336841b59fbfa4e1df855724eaf804fd08c92e6e1e1a35840d6"

pyproject.toml

@@ -26,7 +26,7 @@ fastapi = "^0.115.0"
 llvmlite = "^0.43.0"
 numba = "^0.60.0"
 openai-whisper = "^20240930"
-faster-whisper = "^1.0.3"
+faster-whisper = "^1.1.0"
 torch = [
   { markers = "sys_platform == 'darwin' and platform_machine == 'arm64'", url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp310-none-macosx_11_0_arm64.whl" },
   { markers = "sys_platform == 'linux' and platform_machine == 'arm64'", url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp310-none-macosx_11_0_arm64.whl" },