Abdullah Mohammed abodacs

Infinite Learner (Open for Work)

abodacs / live_whisper_inference.py

Created July 11, 2023 21:25 — forked from Vaibhavs10/live_whisper_inference.py

	#pip install git+https://github.com/huggingface/transformers.git

	import datetime
	import sys
	from transformers import pipeline
	from transformers.pipelines.audio_utils import ffmpeg_microphone_live

	pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=0)
	sampling_rate = pipe.feature_extractor.sampling_rate

abodacs / GPT4all-langchain-demo.ipynb

Created April 4, 2023 10:52 — forked from psychemedia/GPT4all-langchain-demo.ipynb

Example of running GPT4all local LLM via langchain in a Jupyter notebook (Python)

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abodacs / semantic-search-main.py

Created December 16, 2022 19:39 — forked from wfng92/semantic-search-main.py

	from sentence_transformers import SentenceTransformer, util
	import torch

	# save model in current directory
	model = SentenceTransformer('paraphrase-multilingual-MiniLM-L12-v2', device='cpu', cache_folder='./')
	# save model in models folder (you need to create the folder on your own beforehand)
	# model = SentenceTransformer('paraphrase-multilingual-MiniLM-L12-v2', device='cpu', cache_folder='./models/')

	# Corpus with example sentences
	corpus = [

abodacs / cleanTextPyarabic.py

Created December 14, 2022 22:35 — forked from linuxscout/cleanTextPyarabic.py

	#!/usr/bin/python
	# -- coding=utf-8 --
	"""
	An example of cleaning arabic text with PyArbic Library

	Requirements: pip install pyarabic
	Data: text file
	Ouput: text file ( cleaned)
	"""
	import sys

abodacs / phonemizer-backend.py

Created November 12, 2022 23:27 — forked from wfng92/phonemizer-backend.py

	from phonemizer.backend import EspeakBackend

	backend = EspeakBackend('en-us', preserve_punctuation=True, with_stress=True)

	text = ["Hello, world!", "Welcome to Medium!"]

	phonemized = backend.phonemize(text, strip=True)
	print(phonemized)

abodacs / whisper-transcribe.bash

Created November 9, 2022 08:49 — forked from DaniruKun/whisper-transcribe.bash

Transcribe (and translate) any VOD (e.g. from Youtube) using Whisper from OpenAI and embed subtitles!

	#!/usr/bin/env bash

	# Small shell script to more easily automatically download and transcribe live stream VODs.
	# This uses YT-DLP, ffmpeg and the CPP version of Whisper: https://github.com/ggerganov/whisper.cpp
	# Use `./transcribe-vod help` to print help info.

	# MIT License

	# Copyright (c) 2022 Daniils Petrovs

abodacs / gsoc_2022_work_product.md

Created October 11, 2022 22:33 — forked from yuroitaki/gsoc_2022_work_product.md

This document summarises the work that I have done as part of Google Summer of Code 2022.

Google Summer of Code 2022 Work Product

This document summarises the work that I have done as part of Google Summer of Code 2022 (GSoC).

abodacs / video-subtitles-via-whisper.py

Created September 25, 2022 19:26 — forked from rasbt/video-subtitles-via-whisper.py

Script that creates subtitles (closed captions) for all MP4 video files in your current directory

	# Sebastian Raschka 09/24/2022
	# Create a new conda environment and packages
	# conda create -n whisper python=3.9
	# conda activate whisper
	# conda install mlxtend -c conda-forge

	# Install ffmpeg
	# macOS & homebrew
	# brew install ffmpeg
	# Ubuntu

abodacs / routes.ts

Created September 17, 2022 14:44 — forked from denisborovikov/routes.ts

	const routes = {
	home: '/',
	transactions: '/transactions',
	transactionDetails: '/transactions/:uuid',
	}

	const urls: Record<
	keyof typeof routes,
	{ get: (params?: any) => string; route: string }
	> = new Proxy(routes, {

abodacs / dotnetlayout.md

Created June 26, 2022 16:35 — forked from davidfowl/dotnetlayout.md

.NET project structure

$/
  artifacts/
  build/
  docs/
  lib/
  packages/
  samples/
  src/
 tests/