Feldwor BoQsc

## 7DTD_Steam_Link_26900_HTTP_Redirect.py
import http.server
import socketserver
import logging

PORT = 26900
REDIRECT_URL = 'steam://connect/127.0.0.1:26900'

# Configure logging to log to a file
logging.basicConfig(filename='server.log', level=logging.INFO, format='%(asctime)s - %(message)s')
logger = logging.getLogger()

## find_python_installation.cmd
@ECHO OFF
python -c "import sys; print(sys.executable)"
PAUSE

## install_requests.py
import subprocess
import sys

def install_package(package):
    subprocess.check_call([sys.executable, "-m", "pip", "install", package])

def check_and_install_requests():
    try:
        import requests
        print("The 'requests' library is already installed.")

## install_python.cmd
@ECHO OFF
python --version 3>NUL
if errorlevel 1 winget install Python --silent --accept-package-agreements --accept-source-agreements
PAUSE

## NEW0517-defaultGPT4-web-browsing.user.js
// ==UserScript==
// @name         GPT-4 Button Auto Click
// @match        https://chat.openai.com/
// @match        https://chat.openai.com/?model=text-davinci-002-render-sha
// ==/UserScript==

const clickFirstDivInsideButton = () => {
    let buttonNode = document.evaluate("//button[contains(., 'GPT-4')]", document, null, XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue;
    if (buttonNode) {
        let firstDivInsideButton = buttonNode.querySelector('div');

## Adding empty space to revolt chat.txt
`　 `

## gist:be2034af19b0d10da3d037ddf5f4e878
<!DOCTYPE html>
<html>
  <head>
    <meta charset="UTF-8">
    <title>Screenshot Demo</title>
    <style>
      #v,
      #i {
        width: 1920px;
        height: 1080px;

## chatgpt-on-your-computer.md

      
              1 file
            
          
              0 forks
            
          
              1 comment
            
          
              0 stars
            
          
                BoQsc
                / chatgpt-on-your-computer.md
            
            
              Last active
              March 27, 2023 08:30
            
              
                 Open Source and free. Locally run 7B "ChatGPT" model named Alpaca-LoRA on your computer. A 7 Billions parameter model on your laptop.
              
          
    Locally run 7B "ChatGPT" model named Alpaca-LoRA on your computer.


Download 7B model alpaca model.
Download client-side program for Windows, Linux or Mac
Extract alpaca-win.zip
Copy the previously downloaded ggml-alpaca-7b-q4.bin file into newly extracted alpaca-win folder
Open command prompt and run chat.exe
Type questions you would want to ask an Alpaca.

Customize: chat --threads 4 --n_predict 512 --ctx_size 2048

Help: for more options. chat --help

  
## download_revolt_server.py
import json
import os
import requests
from dotenv import load_dotenv

def main():
    load_dotenv()
    TOKEN = 'rxPrvEqnIZZfZ4JO9Lu4dHf-bBhd_29CGKzWnaJeWKl71f01W_EMrV6lA_2aXsO'
    SERVER_ID = '0sGJ0CVBeZV2HwYAq3S6ZKrN4N'
    BASE_URL = 'https://api.revolt.chat'

## print.c
/* A wrapper library for printf function.*/
/* At the core: vfprintf instead of printf is used to allow streams and variadic arguments */
/* Print is also extended into helper functions error() warning() notice() info() */

#include <stdio.h>
#include <stdarg.h>

// gcc -Wall -Wextra -Q  print.c && a

// Stream: Error, custom, warning, notice, log, file
	import http.server
	import socketserver
	import logging

	PORT = 26900
	REDIRECT_URL = 'steam://connect/127.0.0.1:26900'

	# Configure logging to log to a file
	logging.basicConfig(filename='server.log', level=logging.INFO, format='%(asctime)s - %(message)s')
	logger = logging.getLogger()
	import subprocess
	import sys

	def install_package(package):
	subprocess.check_call([sys.executable, "-m", "pip", "install", package])

	def check_and_install_requests():
	try:
	import requests
	print("The 'requests' library is already installed.")
	@ECHO OFF
	python --version 3>NUL
	if errorlevel 1 winget install Python --silent --accept-package-agreements --accept-source-agreements
	PAUSE
	// ==UserScript==
	// @name GPT-4 Button Auto Click
	// @match https://chat.openai.com/
	// @match https://chat.openai.com/?model=text-davinci-002-render-sha
	// ==/UserScript==

	const clickFirstDivInsideButton = () => {
	let buttonNode = document.evaluate("//button[contains(., 'GPT-4')]", document, null, XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue;
	if (buttonNode) {
	let firstDivInsideButton = buttonNode.querySelector('div');
	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="UTF-8">
	<title>Screenshot Demo</title>
	<style>
	#v,
	#i {
	width: 1920px;
	height: 1080px;
	import json
	import os
	import requests
	from dotenv import load_dotenv

	def main():
	load_dotenv()
	TOKEN = 'rxPrvEqnIZZfZ4JO9Lu4dHf-bBhd_29CGKzWnaJeWKl71f01W_EMrV6lA_2aXsO'
	SERVER_ID = '0sGJ0CVBeZV2HwYAq3S6ZKrN4N'
	BASE_URL = 'https://api.revolt.chat'
	/* A wrapper library for printf function.*/
	/* At the core: vfprintf instead of printf is used to allow streams and variadic arguments */
	/* Print is also extended into helper functions error() warning() notice() info() */

	#include <stdio.h>
	#include <stdarg.h>

	// gcc -Wall -Wextra -Q print.c && a

	// Stream: Error, custom, warning, notice, log, file