Merge pull request #21 from NavodPeiris/dev

updated with fixed dependency versions #20

examples/transcribe.py

@@ -4,7 +4,7 @@
 voices_folder = "voices" # voices folder containing voice samples for recognition
 language = "en"          # language code
 log_folder = "logs"      # log folder for storing transcripts
-modelSize = "medium"     # size of model to be used [tiny, small, medium, large-v1, large-v2, large-v3]
+modelSize = "tiny"     # size of model to be used [tiny, small, medium, large-v1, large-v2, large-v3]
 quantization = False   # setting this 'True' may speed up the process but lower the accuracy
 
 transcriptor = Transcriptor(file, log_folder, language, modelSize, voices_folder, quantization)

setup.py

@@ -5,12 +5,12 @@
 
 setup(
     name="speechlib",
-    version="1.0.11",  
+    version="1.0.13",  
     description="speechlib is a library that can do speaker diarization, transcription and speaker recognition on an audio file to create transcripts with actual speaker names. This library also contain audio preprocessor functions.",
     packages=find_packages(),
     long_description=long_description,
     long_description_content_type="text/markdown",
-    url="https://github.com/Navodplayer1/speechlib",
+    url="https://github.com/NavodPeiris/speechlib",
     author="Navod Peiris",
     author_email="navodpeiris1234@gmail.com",
     license="MIT",
@@ -19,6 +19,6 @@
         "Programming Language :: Python :: 3.10",
         "Operating System :: OS Independent",
     ],
-    install_requires=["transformers", "torch", "torchaudio", "pydub", "pyannote.audio", "speechbrain", "accelerate", "faster-whisper"],
+    install_requires=["transformers==4.36.2", "torch==2.1.2", "torchaudio==2.1.2", "pydub==0.25.1", "pyannote.audio==3.1.1", "speechbrain==0.5.16", "accelerate==0.26.1", "faster-whisper==0.10.0"],
     python_requires=">=3.8",
 )

setup_instruction.md

@@ -9,7 +9,7 @@ for publishing:
     pip install twine
 
 for install locally for testing:
-    pip install dist/speechlib-1.0.10-py3-none-any.whl
+    pip install dist/speechlib-1.0.13-py3-none-any.whl
 
 finally run:
     twine upload dist/*