Release 1.2.3

CHANGELOG.md

 Changelog
 =========
 
-Unreleased
-----------
+[1.2.3] (2023-11-07)
+--------------------
 
 ### Changed
 
@@ -146,6 +146,7 @@ Unreleased
 - mp3 support by using ffmpeg instead of librosa in #8
 - add language detection endpoint in #9
 
+[1.2.3]: https://github.com/ahmetoner/whisper-asr-webservice/releases/tag/v1.2.3
 [1.2.2]: https://github.com/ahmetoner/whisper-asr-webservice/releases/tag/v1.2.2
 [1.2.1]: https://github.com/ahmetoner/whisper-asr-webservice/releases/tag/v1.2.1
 [1.2.0]: https://github.com/ahmetoner/whisper-asr-webservice/releases/tag/v1.2.0

README.md

@@ -7,7 +7,7 @@
 Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitask model that can perform multilingual speech recognition as well as speech translation and language identification. For more details: [github.com/openai/whisper](https://github.com/openai/whisper/)
 
 ## Features
-Current release (v1.2.2) supports following whisper models:
+Current release (v1.2.3) supports following whisper models:
 
 - [openai/whisper](https://github.com/openai/whisper)@[v20231106](https://github.com/openai/whisper/releases/tag/v20231106)
 - [guillaumekln/faster-whisper](https://github.com/guillaumekln/faster-whisper)@[0.9.0](https://github.com/guillaumekln/faster-whisper/releases/tag/v0.9.0)

docs/index.md

 Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitask model that can perform multilingual speech recognition as well as speech translation and language identification.
 
 ## Features
-Current release (v1.2.2) supports following whisper models:
+Current release (v1.2.3) supports following whisper models:
 
 - [openai/whisper](https://github.com/openai/whisper)@[v20231106](https://github.com/openai/whisper/releases/tag/v20231106)
 - [guillaumekln/faster-whisper](https://github.com/guillaumekln/faster-whisper)@[0.9.0](https://github.com/guillaumekln/faster-whisper/releases/tag/v0.9.0)

pyproject.toml

 [tool.poetry]
 name = "whisper-asr-webservice"
-version = "1.2.3-dev"
+version = "1.2.3"
 description = "Whisper ASR Webservice is a general-purpose speech recognition webservice."
 homepage  = "https://github.com/ahmetoner/whisper-asr-webservice/"
 license = "https://github.com/ahmetoner/whisper-asr-webservice/blob/main/LICENCE"