Merge pull request #170 from ahmetoner/upgrade-whisper

Upgrade faster-whisper to v0.10.0 and OpenAI Whisper to v20231117

CHANGELOG.md

@@ -4,14 +4,19 @@ Changelog
 Unreleased
 ----------
 
+### Changed
+
+- Upgraded
+    - [openai/whisper](https://github.com/openai/whisper) to [v20231117](https://github.com/openai/whisper/releases/tag/v20231117)
+    - [SYSTRAN/faster-whisper](https://github.com/SYSTRAN/faster-whisper) to [v0.10.0](https://github.com/SYSTRAN/faster-whisper/releases/tag/0.10.0)
+
 [1.2.3] (2023-11-07)
 --------------------
 
 ### Changed
 
 - Upgraded
     - [openai/whisper](https://github.com/openai/whisper) to [v20231106](https://github.com/openai/whisper/releases/tag/v20231106)
-
 
 [1.2.2] (2023-11-03)
 --------------------

README.md

@@ -9,8 +9,8 @@ Whisper is a general-purpose speech recognition model. It is trained on a large
 ## Features
 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)
+- [openai/whisper](https://github.com/openai/whisper)@[v20231117](https://github.com/openai/whisper/releases/tag/v20231117)
+- [SYSTRAN/faster-whisper](https://github.com/SYSTRAN/faster-whisper)@[v0.10.0](https://github.com/SYSTRAN/faster-whisper/releases/tag/0.10.0)
 
 
 ## Quick Usage

docs/environmental-variables.md

@@ -15,7 +15,7 @@
 export ASR_MODEL=base
 ```
 
-Available ASR_MODELs are `tiny`, `base`, `small`, `medium`, `large` (only OpenAI Whisper), `large-v1`, `large-v2` and `large-v3` (only OpenAI Whisper for now). 
+Available ASR_MODELs are `tiny`, `base`, `small`, `medium`, `large` (only OpenAI Whisper), `large-v1`, `large-v2` and `large-v3`.
 
 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.
 
@@ -24,4 +24,4 @@ For English-only applications, the `.en` models tend to perform better, especial
 
 ```sh
 export ASR_MODEL_PATH=/data/whisper
-```
+```

docs/index.md

@@ -3,8 +3,8 @@ Whisper is a general-purpose speech recognition model. It is trained on a large
 ## Features
 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)
+- [openai/whisper](https://github.com/openai/whisper)@[v20231117](https://github.com/openai/whisper/releases/tag/v20231117)
+- [SYSTRAN/faster-whisper](https://github.com/SYSTRAN/faster-whisper)@[v0.10.0](https://github.com/SYSTRAN/faster-whisper/releases/tag/0.10.0)
 
 ## Quick Usage
 

pyproject.toml

@@ -26,8 +26,8 @@ ffmpeg-python = "^0.2.0"
 fastapi = "^0.104.1"
 llvmlite = "^0.41.1"
 numba = "^0.58.0"
-openai-whisper = "20231106"
-faster-whisper = "^0.9.0"
+openai-whisper = "^20231117"
+faster-whisper = "^0.10.0"
 torch = [
   {markers = "sys_platform == 'darwin' and platform_machine == 'arm64'", url = "https://download.pytorch.org/whl/cpu/torch-1.13.0-cp310-none-macosx_11_0_arm64.whl"},
   {markers = "sys_platform == 'linux' and platform_machine == 'arm64'", url="https://download.pytorch.org/whl/cpu/torch-1.13.0-cp310-none-macosx_11_0_arm64.whl"},