settings.ini

[DEFAULT]
repo = malayalam_asr_benchmarking
lib_name = malayalam_asr_benchmarking
version = 0.0.5
min_python = 3.7
license = mit
black_formatting = True
doc_path = _docs
lib_path = malayalam_asr_benchmarking
nbs_path = nbs
recursive = True
tst_flags = notest
put_version_in_init = True
branch = main
custom_sidebar = False
doc_host = https://kurianbenoy.github.io
doc_baseurl = /malayalam_asr_benchmarking
git_url = https://github.com/kurianbenoy/malayalam_asr_benchmarking
title = malayalam_asr_benchmarking
audience = Developers
author = kurianbenoy
author_email = kurian.bkk@gmail.com
copyright = 2023 onwards, kurianbenoy
description = A study to benchmark whisper based ASRs in Malayalam
keywords = nbdev jupyter notebook python
language = English
status = 3
user = kurianbenoy
requirements = transformers>=4.0.0,<5 datasets jiwer numerize pandas librosa soundfile==0.12.1 whisper_normalizer faster-whisper
pip_requirements = torch>=1.7
readme_nb = index.ipynb
allowed_metadata_keys = 
allowed_cell_metadata_keys = 
jupyter_hooks = True
clean_ids = True
clear_all = False
dev_requirements = nbdev black