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readme_whisper_exec_win.md

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OpenAi's Whisper as Standalone Windows 11 CLI

Compatibility:

  • Platform: Windows 11 Enterprise
  • Python 3.11.5
  • pip 23.3.1
  • setuptools 68.2.2
  • ffmpeg 6.1.0

Dev Guide | Way to work with it:

  • Clone it. git clone [email protected]:TheLanguageArchive/whisper_standalone_executable.git --depth 1

  • cd whisper_standalone_executable/whisper

  • conda update conda

  • mkdir -p docs/win/logs/ ; conda list > docs/win/logs/transcriber_cli_env_win_base202401021322.txt

  • Create Anaconda (Conda) Environment : transcriber_cli_env_win_202312211128

  • conda create --name transcriber_cli_env_win_202312211128 python=3.11.5 -y

  • Select the created Python Environment in the PyCharm / Visual Studio Code / Terminal

    • conda activate transcriber_cli_env_win_202312211128

  • mkdir -p docs/win/logs/ ; conda list > docs/win/logs/transcriber_cli_env_win_base202401021322_init.txt

  • Install Pre-req Dependencies:

    • pip install -r requirements.txt
    • conda install -c conda-forge ffmpeg=6.1.0 -y

  • mkdir -p docs/win/logs/ ; conda list > docs/win/logs/transcriber_cli_env_win_base202401021322_final.txt

Clean

Remove-Item -Recurse -Force .\build `
; Remove-Item -Recurse -Force .\dist `
; Remove-Item .\transcriber_cli_win_001202401021637.spec `
; Remove-Item -Recurse -Force .\whisper_transcriptions

Running as python script

From whisper project root folder.

python cli.py ../transcriber_jar/src/test/resources/videos/testFile202312061352.mp4 --fp16=False --model=large-v3 --language=en --output_format=json --output_dir=./whisper_transcriptions/ --word_timestamps=True  --model_dir ~/AppData/Local/.cache/whisper

Packaging for Release(deliverable):

Create the executable(s) file in dist directory that can be run from the command line:

Sample command to run from windows

Notes:

  • osPathsSeparator ;
  • versionWithoutDots
pyinstaller cli.py `
  --console `
  --onefile `
  --clean `
  --log-level=DEBUG `
  --name transcriber_cli_win_001202401021637 `
  --add-data "whisper/assets/*;whisper/assets" `
  --add-binary "$env:USERPROFILE/AppData/Local/anaconda3/envs/transcriber_cli_env_win_202312211128/Library/bin/ffmpeg.exe;bin" `
  --add-binary "$env:USERPROFILE/AppData/Local/anaconda3/envs/transcriber_cli_env_win_202312211128/Library/bin/ffprobe.exe;bin"

OR pre-pend following line to the *.spec file import sys ; sys.setrecursionlimit(sys.getrecursionlimit() * 5)

And then

pyinstaller --clean --log-level=DEBUG transcriber_cli_win_001202401021637.spec

For testing from the project root directory transcriber_cli execute the following command:

&"dist/transcriber_cli_win_001202401021637.exe" "../transcriber_jar/src/test/resources/videos/testFile202312061352.mp4" '--fp16=False' '--model=large-v3' '--language=en' '--output_format=json' '--output_dir=./whisper_transcriptions/' '--word_timestamps=True' python cli.py ../transcriber_jar/src/test/resources/videos/testFile202312061352.mp4 --fp16=False --model=large-v3 --language=en --output_format=json --output_dir=./whisper_transcriptions/ --word_timestamps=True  --model_dir ~/AppData/Local/.cache/whisper

Distribution

cp "./dist/transcriber_cli_win_001202401021637.exe" "./../transcriber_jar/src/main/resources/releases/transcriber_cli_win_001202401021637.exe" 

conda deactivate

In whisper directory

&"./../transcriber_jar/src/main/resources/releases/transcriber_cli_win_001202401021637" "./../transcriber_jar/src/test/resources/videos/testFile202312061352.mp4" '--fp16=False' '--model=large-v3' '--language=en' '--output_format=json' '--output_dir=./whisper_transcriptions/' '--word_timestamps=True'python cli.py ../transcriber_jar/src/test/resources/videos/testFile202312061352.mp4 --fp16=False --model=large-v3 --language=en --output_format=json --output_dir=./whisper_transcriptions/ --word_timestamps=True  --model_dir ~/AppData/Local/.cache/whisper

Transcription files will be created.

NOTE: Ideally, we should be able to assume that after installation if this is the first file copied and ran. It should work. While the executable tries to package everything it needs there are still some libraries which are expected to be present in the host system.

Potentially useful info

Default Cache location: ~/.cache/whisper/ Configured Cache Location: ~/AppData/Local/.cache/whisper