KlakHAP is a Unity plugin that allows playing back a video stream encoded with the [HAP video codecs].
HAP is a fast and high-quality video codec often used in real-time interactive applications. From the HAP Codecs website:
| package main | |
| import ( | |
| "context" | |
| "flag" | |
| "fmt" | |
| "log" | |
| "net/http" | |
| "os" | |
| "os/signal" |
| int sum(int a, int b) | |
| { | |
| return a + b; | |
| } |
| """Performs automatic speed edits to audio books. | |
| Example usage: | |
| Assuming you have an audiobook book.aax on your Desktop: | |
| 1. Convert it to wav: | |
| ffmpeg -i ~/Desktop/book.aax ~/Desktop/book.wav | |
| 2. Adjust the speed: |
Moved to https://api.fmhy.net
| #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 |
| """ To use: install LLM studio (or Ollama), clone OpenVoice, run this script in the OpenVoice directory | |
| git clone https://github.com/myshell-ai/OpenVoice | |
| cd OpenVoice | |
| git clone https://huggingface.co/myshell-ai/OpenVoice | |
| cp -r OpenVoice/* . | |
| pip install whisper pynput pyaudio | |
| """ | |
| from openai import OpenAI | |
| import time |
| # AUTOMATE UDIO | |
| # by DADABOTS dadabots.com | |
| # was working on 2024-04-13 | |
| # tldr; get your login cookie, use it to automate udio from python | |
| import requests | |
| import json | |
| from time import sleep | |
| import re |
| import asyncio | |
| import math | |
| import re | |
| from collections import defaultdict | |
| from datetime import datetime, timedelta | |
| from typing import Callable, Dict, List, Optional, Union | |
| class BasicDBConnector: | |