Cortexelus

# 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 

thomwolf

""" 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

Vaibhavs10

#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

taskylizard

Some stats: - Total number of links: 23983

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► System Tools

dievardump

Warning !!!

Recent events have shown that the auto-approval for user proxies is way too dangerous.

Security of users' NFTs should come before the convenience of auto approving collection for trading.

This is why I decided to remove the files in this gist.

Security risk

dbieber

"""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:

keijiro

KlakHAP

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:

campoy

int sum(int a, int b)
{
  return a + b;
}

enricofoltran

package main

import (
	"context"
	"flag"
	"fmt"
	"log"
	"net/http"
	"os"
	"os/signal"

ptarjan

Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.