Add FFmpeg credits

CHANGELOG.md

@@ -154,7 +154,7 @@ Unreleased
 - Fastapi init in #3
 - Avoid temp file in #4
 - Translate init in #5
-- mp3 support by using ffmpeg instead of librosa in #8
+- mp3 support by using FFmpeg instead of librosa in #8
 - add language detection endpoint in #9
 
 [1.2.4]: https://github.com/ahmetoner/whisper-asr-webservice/releases/tag/v1.2.4

README.md

@@ -32,5 +32,9 @@ for more information:
 - [Documentation/Run](https://ahmetoner.github.io/whisper-asr-webservice/run)
 - [Docker Hub](https://hub.docker.com/r/onerahmet/openai-whisper-asr-webservice)
 
-# Documentation
+## Documentation
 Explore the documentation by clicking [here](https://ahmetoner.github.io/whisper-asr-webservice).
+
+## Credits
+
+- This software uses libraries from the [FFmpeg](http://ffmpeg.org) project under the [LGPLv2.1](http://www.gnu.org/licenses/old-licenses/lgpl-2.1.html)

app/webservice.py

@@ -87,7 +87,7 @@ async def asr(
 @app.post("/detect-language", tags=["Endpoints"])
 async def detect_language(
         audio_file: UploadFile = File(...),
-        encode: bool = Query(default=True, description="Encode audio first through ffmpeg")
+        encode: bool = Query(default=True, description="Encode audio first through FFmpeg")
 ):
     detected_lang_code = language_detection(load_audio(audio_file.file, encode))
     return {"detected_language": tokenizer.LANGUAGES[detected_lang_code], "language_code": detected_lang_code}

docs/index.md

@@ -24,3 +24,7 @@ for more information:
 
 - [Documentation/Run](https://ahmetoner.github.io/whisper-asr-webservice/run)
 - [Docker Hub](https://hub.docker.com/r/onerahmet/openai-whisper-asr-webservice)
+
+## Credits
+
+- This software uses libraries from the [FFmpeg](http://ffmpeg.org) project under the [LGPLv2.1](http://www.gnu.org/licenses/old-licenses/lgpl-2.1.html)