Mary  Turcotte

Mary Turcotte

1672303586

A Wechat Bot using Wechaty and ChatGPT

ChatGPT For Wechat

ChatGPT-For-Wechat is a project using wechaty/wechaty that aims to call interfaces such as ChatGPT from within WeChat. I don't intend this project to be limited to ChatGPT, just like OpenAI is not limited to ChatGPT, and there are many better projects that have already implemented this functionality and even integrated it into WeChat open platform, WeChat Mini Program, etc.

💖 List of Thanks

📌 Please ensure you complete the following before you start

  • an authenticated wechat used to simulate a web scan login
  • successfully register with OpenAI and get seeion on the web 1

🐟 Use with docker

Verify the local environment2

docker version docker compose version

Create docker-compose.yml and .env file in the same directory

  • the contents of docker-compose.yml are copied directly from docker-compose
  • the contents of .env are copied from .example.env ,and you need to modify <your-seeion-token>

Starting services

# > step 1 starting services
docker compose up -d

# > step 2 print logs to scan login,after successful ctrl+c exit
docker logs -f chatGPT

# if you don't want to use chatGPT
docker compose down

🚀 Local development

Verify the local environment

# node version >= 16
# npm version >= 7
node -v
npm -v
git -v

Building and starting services

# > step 1 download source code
git clone https://github.com/UNICKCHENG/ChatGPT-For-Wechat.git

# > step 2 configure the .env information
# !!! Please modify the contents of `.env`
cp .example.env .env

# > step 3 installing dependencies
npm install

# > step 4 starting services
npm run dev

🎉 Conversation screenshot

👍 Find Other excellent projects (additions welcome)

Footnotes

https://github.com/transitive-bullshit/chatgpt-api#session-tokens

https://github.com/UNICKCHENG/Tools-Deployment


Download details:

Author: UNICKCHENG
Source code: https://github.com/UNICKCHENG/ChatGPT-For-Wechat

License: MIT license

#chatgpt #openai 

What is GEEK

Buddha Community

A Wechat Bot using Wechaty and ChatGPT
Chloe  Butler

Chloe Butler

1667425440

Pdf2gerb: Perl Script Converts PDF Files to Gerber format

pdf2gerb

Perl script converts PDF files to Gerber format

Pdf2Gerb generates Gerber 274X photoplotting and Excellon drill files from PDFs of a PCB. Up to three PDFs are used: the top copper layer, the bottom copper layer (for 2-sided PCBs), and an optional silk screen layer. The PDFs can be created directly from any PDF drawing software, or a PDF print driver can be used to capture the Print output if the drawing software does not directly support output to PDF.

The general workflow is as follows:

  1. Design the PCB using your favorite CAD or drawing software.
  2. Print the top and bottom copper and top silk screen layers to a PDF file.
  3. Run Pdf2Gerb on the PDFs to create Gerber and Excellon files.
  4. Use a Gerber viewer to double-check the output against the original PCB design.
  5. Make adjustments as needed.
  6. Submit the files to a PCB manufacturer.

Please note that Pdf2Gerb does NOT perform DRC (Design Rule Checks), as these will vary according to individual PCB manufacturer conventions and capabilities. Also note that Pdf2Gerb is not perfect, so the output files must always be checked before submitting them. As of version 1.6, Pdf2Gerb supports most PCB elements, such as round and square pads, round holes, traces, SMD pads, ground planes, no-fill areas, and panelization. However, because it interprets the graphical output of a Print function, there are limitations in what it can recognize (or there may be bugs).

See docs/Pdf2Gerb.pdf for install/setup, config, usage, and other info.


pdf2gerb_cfg.pm

#Pdf2Gerb config settings:
#Put this file in same folder/directory as pdf2gerb.pl itself (global settings),
#or copy to another folder/directory with PDFs if you want PCB-specific settings.
#There is only one user of this file, so we don't need a custom package or namespace.
#NOTE: all constants defined in here will be added to main namespace.
#package pdf2gerb_cfg;

use strict; #trap undef vars (easier debug)
use warnings; #other useful info (easier debug)


##############################################################################################
#configurable settings:
#change values here instead of in main pfg2gerb.pl file

use constant WANT_COLORS => ($^O !~ m/Win/); #ANSI colors no worky on Windows? this must be set < first DebugPrint() call

#just a little warning; set realistic expectations:
#DebugPrint("${\(CYAN)}Pdf2Gerb.pl ${\(VERSION)}, $^O O/S\n${\(YELLOW)}${\(BOLD)}${\(ITALIC)}This is EXPERIMENTAL software.  \nGerber files MAY CONTAIN ERRORS.  Please CHECK them before fabrication!${\(RESET)}", 0); #if WANT_DEBUG

use constant METRIC => FALSE; #set to TRUE for metric units (only affect final numbers in output files, not internal arithmetic)
use constant APERTURE_LIMIT => 0; #34; #max #apertures to use; generate warnings if too many apertures are used (0 to not check)
use constant DRILL_FMT => '2.4'; #'2.3'; #'2.4' is the default for PCB fab; change to '2.3' for CNC

use constant WANT_DEBUG => 0; #10; #level of debug wanted; higher == more, lower == less, 0 == none
use constant GERBER_DEBUG => 0; #level of debug to include in Gerber file; DON'T USE FOR FABRICATION
use constant WANT_STREAMS => FALSE; #TRUE; #save decompressed streams to files (for debug)
use constant WANT_ALLINPUT => FALSE; #TRUE; #save entire input stream (for debug ONLY)

#DebugPrint(sprintf("${\(CYAN)}DEBUG: stdout %d, gerber %d, want streams? %d, all input? %d, O/S: $^O, Perl: $]${\(RESET)}\n", WANT_DEBUG, GERBER_DEBUG, WANT_STREAMS, WANT_ALLINPUT), 1);
#DebugPrint(sprintf("max int = %d, min int = %d\n", MAXINT, MININT), 1); 

#define standard trace and pad sizes to reduce scaling or PDF rendering errors:
#This avoids weird aperture settings and replaces them with more standardized values.
#(I'm not sure how photoplotters handle strange sizes).
#Fewer choices here gives more accurate mapping in the final Gerber files.
#units are in inches
use constant TOOL_SIZES => #add more as desired
(
#round or square pads (> 0) and drills (< 0):
    .010, -.001,  #tiny pads for SMD; dummy drill size (too small for practical use, but needed so StandardTool will use this entry)
    .031, -.014,  #used for vias
    .041, -.020,  #smallest non-filled plated hole
    .051, -.025,
    .056, -.029,  #useful for IC pins
    .070, -.033,
    .075, -.040,  #heavier leads
#    .090, -.043,  #NOTE: 600 dpi is not high enough resolution to reliably distinguish between .043" and .046", so choose 1 of the 2 here
    .100, -.046,
    .115, -.052,
    .130, -.061,
    .140, -.067,
    .150, -.079,
    .175, -.088,
    .190, -.093,
    .200, -.100,
    .220, -.110,
    .160, -.125,  #useful for mounting holes
#some additional pad sizes without holes (repeat a previous hole size if you just want the pad size):
    .090, -.040,  #want a .090 pad option, but use dummy hole size
    .065, -.040, #.065 x .065 rect pad
    .035, -.040, #.035 x .065 rect pad
#traces:
    .001,  #too thin for real traces; use only for board outlines
    .006,  #minimum real trace width; mainly used for text
    .008,  #mainly used for mid-sized text, not traces
    .010,  #minimum recommended trace width for low-current signals
    .012,
    .015,  #moderate low-voltage current
    .020,  #heavier trace for power, ground (even if a lighter one is adequate)
    .025,
    .030,  #heavy-current traces; be careful with these ones!
    .040,
    .050,
    .060,
    .080,
    .100,
    .120,
);
#Areas larger than the values below will be filled with parallel lines:
#This cuts down on the number of aperture sizes used.
#Set to 0 to always use an aperture or drill, regardless of size.
use constant { MAX_APERTURE => max((TOOL_SIZES)) + .004, MAX_DRILL => -min((TOOL_SIZES)) + .004 }; #max aperture and drill sizes (plus a little tolerance)
#DebugPrint(sprintf("using %d standard tool sizes: %s, max aper %.3f, max drill %.3f\n", scalar((TOOL_SIZES)), join(", ", (TOOL_SIZES)), MAX_APERTURE, MAX_DRILL), 1);

#NOTE: Compare the PDF to the original CAD file to check the accuracy of the PDF rendering and parsing!
#for example, the CAD software I used generated the following circles for holes:
#CAD hole size:   parsed PDF diameter:      error:
#  .014                .016                +.002
#  .020                .02267              +.00267
#  .025                .026                +.001
#  .029                .03167              +.00267
#  .033                .036                +.003
#  .040                .04267              +.00267
#This was usually ~ .002" - .003" too big compared to the hole as displayed in the CAD software.
#To compensate for PDF rendering errors (either during CAD Print function or PDF parsing logic), adjust the values below as needed.
#units are pixels; for example, a value of 2.4 at 600 dpi = .0004 inch, 2 at 600 dpi = .0033"
use constant
{
    HOLE_ADJUST => -0.004 * 600, #-2.6, #holes seemed to be slightly oversized (by .002" - .004"), so shrink them a little
    RNDPAD_ADJUST => -0.003 * 600, #-2, #-2.4, #round pads seemed to be slightly oversized, so shrink them a little
    SQRPAD_ADJUST => +0.001 * 600, #+.5, #square pads are sometimes too small by .00067, so bump them up a little
    RECTPAD_ADJUST => 0, #(pixels) rectangular pads seem to be okay? (not tested much)
    TRACE_ADJUST => 0, #(pixels) traces seemed to be okay?
    REDUCE_TOLERANCE => .001, #(inches) allow this much variation when reducing circles and rects
};

#Also, my CAD's Print function or the PDF print driver I used was a little off for circles, so define some additional adjustment values here:
#Values are added to X/Y coordinates; units are pixels; for example, a value of 1 at 600 dpi would be ~= .002 inch
use constant
{
    CIRCLE_ADJUST_MINX => 0,
    CIRCLE_ADJUST_MINY => -0.001 * 600, #-1, #circles were a little too high, so nudge them a little lower
    CIRCLE_ADJUST_MAXX => +0.001 * 600, #+1, #circles were a little too far to the left, so nudge them a little to the right
    CIRCLE_ADJUST_MAXY => 0,
    SUBST_CIRCLE_CLIPRECT => FALSE, #generate circle and substitute for clip rects (to compensate for the way some CAD software draws circles)
    WANT_CLIPRECT => TRUE, #FALSE, #AI doesn't need clip rect at all? should be on normally?
    RECT_COMPLETION => FALSE, #TRUE, #fill in 4th side of rect when 3 sides found
};

#allow .012 clearance around pads for solder mask:
#This value effectively adjusts pad sizes in the TOOL_SIZES list above (only for solder mask layers).
use constant SOLDER_MARGIN => +.012; #units are inches

#line join/cap styles:
use constant
{
    CAP_NONE => 0, #butt (none); line is exact length
    CAP_ROUND => 1, #round cap/join; line overhangs by a semi-circle at either end
    CAP_SQUARE => 2, #square cap/join; line overhangs by a half square on either end
    CAP_OVERRIDE => FALSE, #cap style overrides drawing logic
};
    
#number of elements in each shape type:
use constant
{
    RECT_SHAPELEN => 6, #x0, y0, x1, y1, count, "rect" (start, end corners)
    LINE_SHAPELEN => 6, #x0, y0, x1, y1, count, "line" (line seg)
    CURVE_SHAPELEN => 10, #xstart, ystart, x0, y0, x1, y1, xend, yend, count, "curve" (bezier 2 points)
    CIRCLE_SHAPELEN => 5, #x, y, 5, count, "circle" (center + radius)
};
#const my %SHAPELEN =
#Readonly my %SHAPELEN =>
our %SHAPELEN =
(
    rect => RECT_SHAPELEN,
    line => LINE_SHAPELEN,
    curve => CURVE_SHAPELEN,
    circle => CIRCLE_SHAPELEN,
);

#panelization:
#This will repeat the entire body the number of times indicated along the X or Y axes (files grow accordingly).
#Display elements that overhang PCB boundary can be squashed or left as-is (typically text or other silk screen markings).
#Set "overhangs" TRUE to allow overhangs, FALSE to truncate them.
#xpad and ypad allow margins to be added around outer edge of panelized PCB.
use constant PANELIZE => {'x' => 1, 'y' => 1, 'xpad' => 0, 'ypad' => 0, 'overhangs' => TRUE}; #number of times to repeat in X and Y directions

# Set this to 1 if you need TurboCAD support.
#$turboCAD = FALSE; #is this still needed as an option?

#CIRCAD pad generation uses an appropriate aperture, then moves it (stroke) "a little" - we use this to find pads and distinguish them from PCB holes. 
use constant PAD_STROKE => 0.3; #0.0005 * 600; #units are pixels
#convert very short traces to pads or holes:
use constant TRACE_MINLEN => .001; #units are inches
#use constant ALWAYS_XY => TRUE; #FALSE; #force XY even if X or Y doesn't change; NOTE: needs to be TRUE for all pads to show in FlatCAM and ViewPlot
use constant REMOVE_POLARITY => FALSE; #TRUE; #set to remove subtractive (negative) polarity; NOTE: must be FALSE for ground planes

#PDF uses "points", each point = 1/72 inch
#combined with a PDF scale factor of .12, this gives 600 dpi resolution (1/72 * .12 = 600 dpi)
use constant INCHES_PER_POINT => 1/72; #0.0138888889; #multiply point-size by this to get inches

# The precision used when computing a bezier curve. Higher numbers are more precise but slower (and generate larger files).
#$bezierPrecision = 100;
use constant BEZIER_PRECISION => 36; #100; #use const; reduced for faster rendering (mainly used for silk screen and thermal pads)

# Ground planes and silk screen or larger copper rectangles or circles are filled line-by-line using this resolution.
use constant FILL_WIDTH => .01; #fill at most 0.01 inch at a time

# The max number of characters to read into memory
use constant MAX_BYTES => 10 * M; #bumped up to 10 MB, use const

use constant DUP_DRILL1 => TRUE; #FALSE; #kludge: ViewPlot doesn't load drill files that are too small so duplicate first tool

my $runtime = time(); #Time::HiRes::gettimeofday(); #measure my execution time

print STDERR "Loaded config settings from '${\(__FILE__)}'.\n";
1; #last value must be truthful to indicate successful load


#############################################################################################
#junk/experiment:

#use Package::Constants;
#use Exporter qw(import); #https://perldoc.perl.org/Exporter.html

#my $caller = "pdf2gerb::";

#sub cfg
#{
#    my $proto = shift;
#    my $class = ref($proto) || $proto;
#    my $settings =
#    {
#        $WANT_DEBUG => 990, #10; #level of debug wanted; higher == more, lower == less, 0 == none
#    };
#    bless($settings, $class);
#    return $settings;
#}

#use constant HELLO => "hi there2"; #"main::HELLO" => "hi there";
#use constant GOODBYE => 14; #"main::GOODBYE" => 12;

#print STDERR "read cfg file\n";

#our @EXPORT_OK = Package::Constants->list(__PACKAGE__); #https://www.perlmonks.org/?node_id=1072691; NOTE: "_OK" skips short/common names

#print STDERR scalar(@EXPORT_OK) . " consts exported:\n";
#foreach(@EXPORT_OK) { print STDERR "$_\n"; }
#my $val = main::thing("xyz");
#print STDERR "caller gave me $val\n";
#foreach my $arg (@ARGV) { print STDERR "arg $arg\n"; }

Download Details:

Author: swannman
Source Code: https://github.com/swannman/pdf2gerb

License: GPL-3.0 license

#perl 

Noelia  Douglas

Noelia Douglas

1672023420

Wechat Chatgpt: Use ChatGPT on Wechat Via Wechaty

Welcome to wechat-chatgpt 👋

Use ChatGPT On Wechat via wechaty

If you don't have a server or want to experience rapid deployment, you can use Railway to do so, see Usage with Railway.

Update December 20, 2022

Thanks @transitive-bullshit, The ChatGPT API automates the work.
You should use password & username to login, and config CAPTCHAs.
⚠️ There may be a problem with the Docker image because I don't have an X86 device and Qume doesn't work.

Update December 13, 2022

Yesterday (2022.12.12), OpenAI upgraded the authentication measures.

It causes ⚠️ No chatgpt item in pool when you use this project.

However, please rest assured that we are actively looking for an effective solution,

If you have a good solution, feel free to contribute!

🌟 Feature

  •  Use ChatGPT On Wechat via wechaty
  •  Support OpenAI Accounts Pool
  •  Support use proxy to login
  •  Add conversation Support
  •  Add Dockerfile
  •  Publish to Docker.hub
  •  Add Railway deploy
  •  Auto Reload OpenAI Accounts Pool
  •  Add sendmessage retry for 429/503

Use with docker in Linux(recommended)

cp config.yaml.example config.yaml
# Change Config.yaml
# run docker command in Linux or WindowsPowerShell
docker run -d --name wechat-chatgpt -v $(pwd)/config.yaml:/app/config.yaml holegots/wechat-chatgpt:latest
# login with qrcode
docker logs -f wechat-chatgpt

Use with docker in Windows

# Create and modify config.yaml in the current directory
# run docker command in WindowsPowerShell
docker run -d --name wechat-chatgpt -v $(pwd)/config.yaml:/app/config.yaml holegots/wechat-chatgpt:latest
# In the Windows command line (cmd) environment, you may mount the current directory like this:
docker run -d --name wechat-chatgpt -v %cd%/config.yaml:/app/config.yaml holegots/wechat-chatgpt:latest
# login with qrcode
docker logs -f wechat-chatgpt

Upgrade docker image version

docker pull holegots/wechat-chatgpt:latest
docker stop wechat-chatgpt
docker rm wechat-chatgpt
# run docker command in Linux or WindowsPowerShell
docker run -d --name wechat-chatgpt -v $(pwd)/config.yaml:/app/config.yaml holegots/wechat-chatgpt:latest
# In the Windows command line (cmd) environment, you may mount the current directory like this:
docker run -d --name wechat-chatgpt -v %cd%/config.yaml:/app/config.yaml holegots/wechat-chatgpt:latest
# login with qrcode
docker logs -f wechat-chatgpt

Install

npm install && poetry install

Config

Copy config

You need copy config file for setting up your project.

cp config.yaml.example config.yaml

Get and config Openai account

If you don't have this OpenAI account and you live in China, you can get it here.

Use account and password

You need get OpenAI account and password. Your config.yaml should be like this:

chatGPTAccountPool:
  - email: <your email>
    password: <your password>
# if you hope only some keywords can trigger chatgpt on private chat, you can set it like this:
chatPrivateTiggerKeyword: ""

⚠️ Trigger keywords must appear in the first position of the received message. ⚠️ Pls make sure your network can log in to OpenAI, and if you fail to login in try setting up a proxy or using SessionToken.

Setup proxy:

You can configure in config.yaml:

openAIProxy: <Your Proxy>

CAPTCHAS

The browser portions of this package use Puppeteer to automate as much as possible, including solving all CAPTCHAs. 🔥

Basic Cloudflare CAPTCHAs are handled by default, but if you want to automate the email + password Recaptchas, you'll need to sign up for one of these paid providers:

  • nopecha - Uses AI to solve CAPTCHAS
    • Faster and cheaper
    • Set the NOPECHA_KEY env var to your nopecha API key
    • Demo video of nopecha solving the login Recaptcha (41 seconds)
  • 2captcha - Uses real people to solve CAPTCHAS
    • More well-known solution that's been around longer
    • Set the CAPTCHA_TOKEN env var to your 2captcha API token

So you should config NOPECHA_KEY or CAPTCHA_TOKEN in your Environment Variables.

Start Project

npm run dev

If you are logging in for the first time, then you need to scan the qrcode.

Usage with Railway

Railway is a deployment platform where you can provision infrastructure, develop with that infrastructure locally, and then deploy to the cloud.This section describes how to quickly deploy a wechat-chatgpt project using Railway.

Firstly, you'll need to sign up for a Railway account and sign in using GitHub verification.

Then click the one-click deployment button below to deploy.

Deploy on Railway

After some validation is complete, you can begin the deployment.You will see the following interface:

railway-deployment

Some environment variables need to be configured:

CHAT_GPT_EMAIL : Your OpenAI Account email, if you have session_token, It's optional.

CHAT_GPT_PASSWORD : Your OpenAI Account password, if you have session_token, It's optional.

CHAT_GPT_RETRY_TIMES : The number of times to retry when the OpenAI API returns 429 or 503.

CHAT_PRIVATE_TRIGGER_KEYWORD : If you hope only some keywords can trigger chatgpt on private chat, you can set it.

Click the Deploy button and your service will start deploying shortly.The following interface appears to indicate that the deployment has begun:

railway-deploying

When the deployment is displayed successfully, click to view the logs and find the WeChat login link in Deploy Logs.

railway-deployed

Click to enter and use your prepared WeChat to scan the code to log in.

Log in successfully and start sending and receiving messages(This process can take several minutes):

railway-success

Besides, in deployment, you may encounter the following issues:

  • Error: ⚠️ No chatgpt item in pool : This error means that you have not configured the OpenAI account information correctly. You can solve this problem from the following aspects:1. Check whether the token or openAI account and password are filled in correctly. 2. The token may have expired (experience shows that the expiration time of the token is 24 hours), you can go to the chatGPT official website to re-obtain the token. 3. Redeploy Current Services.Note that the above should be modified on the Variables page in Railway Dashboard.
  • After the deployment is complete, the QR code is not generated.Try refreshing the page to see again if the Deploy Logs panel generated a link and QR code.
  • The generated QR code cannot be scanned.On the generated QR code, there is a link that can be clicked to scan the QR code.
  • Message feedback is very slow.Because Railway's servers are deployed overseas, there is an increase in message feedback latency, but it is still within the acceptance range. If you are time sensitive, you can use your own server deployment.

Download Details:

Author: fuergaosi233
Source Code: https://github.com/fuergaosi233/wechat-chatgpt

#chatgpt #wechat 

Why Use WordPress? What Can You Do With WordPress?

Can you use WordPress for anything other than blogging? To your surprise, yes. WordPress is more than just a blogging tool, and it has helped thousands of websites and web applications to thrive. The use of WordPress powers around 40% of online projects, and today in our blog, we would visit some amazing uses of WordPress other than blogging.
What Is The Use Of WordPress?

WordPress is the most popular website platform in the world. It is the first choice of businesses that want to set a feature-rich and dynamic Content Management System. So, if you ask what WordPress is used for, the answer is – everything. It is a super-flexible, feature-rich and secure platform that offers everything to build unique websites and applications. Let’s start knowing them:

1. Multiple Websites Under A Single Installation
WordPress Multisite allows you to develop multiple sites from a single WordPress installation. You can download WordPress and start building websites you want to launch under a single server. Literally speaking, you can handle hundreds of sites from one single dashboard, which now needs applause.
It is a highly efficient platform that allows you to easily run several websites under the same login credentials. One of the best things about WordPress is the themes it has to offer. You can simply download them and plugin for various sites and save space on sites without losing their speed.

2. WordPress Social Network
WordPress can be used for high-end projects such as Social Media Network. If you don’t have the money and patience to hire a coder and invest months in building a feature-rich social media site, go for WordPress. It is one of the most amazing uses of WordPress. Its stunning CMS is unbeatable. And you can build sites as good as Facebook or Reddit etc. It can just make the process a lot easier.
To set up a social media network, you would have to download a WordPress Plugin called BuddyPress. It would allow you to connect a community page with ease and would provide all the necessary features of a community or social media. It has direct messaging, activity stream, user groups, extended profiles, and so much more. You just have to download and configure it.
If BuddyPress doesn’t meet all your needs, don’t give up on your dreams. You can try out WP Symposium or PeepSo. There are also several themes you can use to build a social network.

3. Create A Forum For Your Brand’s Community
Communities are very important for your business. They help you stay in constant connection with your users and consumers. And allow you to turn them into a loyal customer base. Meanwhile, there are many good technologies that can be used for building a community page – the good old WordPress is still the best.
It is the best community development technology. If you want to build your online community, you need to consider all the amazing features you get with WordPress. Plugins such as BB Press is an open-source, template-driven PHP/ MySQL forum software. It is very simple and doesn’t hamper the experience of the website.
Other tools such as wpFoRo and Asgaros Forum are equally good for creating a community blog. They are lightweight tools that are easy to manage and integrate with your WordPress site easily. However, there is only one tiny problem; you need to have some technical knowledge to build a WordPress Community blog page.

4. Shortcodes
Since we gave you a problem in the previous section, we would also give you a perfect solution for it. You might not know to code, but you have shortcodes. Shortcodes help you execute functions without having to code. It is an easy way to build an amazing website, add new features, customize plugins easily. They are short lines of code, and rather than memorizing multiple lines; you can have zero technical knowledge and start building a feature-rich website or application.
There are also plugins like Shortcoder, Shortcodes Ultimate, and the Basics available on WordPress that can be used, and you would not even have to remember the shortcodes.

5. Build Online Stores
If you still think about why to use WordPress, use it to build an online store. You can start selling your goods online and start selling. It is an affordable technology that helps you build a feature-rich eCommerce store with WordPress.
WooCommerce is an extension of WordPress and is one of the most used eCommerce solutions. WooCommerce holds a 28% share of the global market and is one of the best ways to set up an online store. It allows you to build user-friendly and professional online stores and has thousands of free and paid extensions. Moreover as an open-source platform, and you don’t have to pay for the license.
Apart from WooCommerce, there are Easy Digital Downloads, iThemes Exchange, Shopify eCommerce plugin, and so much more available.

6. Security Features
WordPress takes security very seriously. It offers tons of external solutions that help you in safeguarding your WordPress site. While there is no way to ensure 100% security, it provides regular updates with security patches and provides several plugins to help with backups, two-factor authorization, and more.
By choosing hosting providers like WP Engine, you can improve the security of the website. It helps in threat detection, manage patching and updates, and internal security audits for the customers, and so much more.

Read More

#use of wordpress #use wordpress for business website #use wordpress for website #what is use of wordpress #why use wordpress #why use wordpress to build a website

Sival Alethea

Sival Alethea

1624410000

Create A Twitter Bot With Python

Create a Twitter bot with Python that tweets images or status updates at a set interval. The Python script also scrapes the web for data.

📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=8u-zJVVVhT4&list=PLWKjhJtqVAbnqBxcdjVGgT3uVR10bzTEB&index=14
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Lenna  Kihn

Lenna Kihn

1672328100

ChatGPT Telegram Bot: How ChatGPT Works in Telegram Bot

ChatGPT Telegram Bot - @altryne

CleanShot 2022-12-02 at 16 08 27

This is a Telegram bot that lets you chat with the chatGPT language model using your local browser. The bot uses Playwright to run chatGPT in Chromium, and can parse code and text, as well as send messages. It also includes a /draw command that allows you to generate pictures using stable diffusion. More features are coming soon.

Features

  •  Chat with chatGPT from your Telegram on the go
  •  /draw pictures using stable diffusion (version 0.0.2)
  •  /browse give chatGPT access to Google (version 0.0.3)

How to Install

Step 1: Install Python and Miniconda

  1. Go to the Miniconda download page.
  2. Click on the appropriate installer for your operating system.
  3. Follow the prompts to complete the installation.

Step 2: Create a conda environment

  1. Open a terminal or command prompt.
  2. Navigate to the directory where you want to create the environment.
  3. Run conda env create -f environment.yml to create the environment.
  4. Activate the newly created environment conda activate chat

Step 3: Install Playwright

  1. Open a terminal or command prompt.
  2. Navigate to the directory where you installed Miniconda.
  3. Run playwright install to download the necessary Chromium software.
  4. Run playwright install-deps to download the necessary dependencies

Step 4: Set up your Telegram bot

  1. Set up your Telegram bot token and user ID in the .env file. See these instructions for more information on how to do this.

How to obtain telegram user id? Add telegram userinfobot to your telegram contacts

  1. Edit the .env.example file, rename it to .env, and place your values in the appropriate fields.

Step 5: Set up your API keys

  1. Copy the .env.example file and rename the copy to .env.
  2. To use the /draw command, you will need to obtain an API key for stable diffusion. To do this, go to Dream Studio Beta and sign up for a free membership.
  3. SERP_API_KEY is optional. If you want to use the /browse command, you will need to obtain an API key for SERP. To do this, go to SERP API and sign up for a free account.

Step 5: Run the server

  1. Open a terminal or command prompt.
  2. Navigate to the directory where you installed the ChatGPT Telegram bot.
  3. Run python server.py to start the server.

Step 6: Chat with your bot in Telegram

  1. Open the Telegram app on your device.
  2. Find your bot in the list of contacts (you should have already created it with @botfather).
  3. Start chatting with your bot.

If you're using Docker inside a server (headless mode)

You can use the docker image to launch your bot in a server (using playwright headless mode)

docker-compose example

services:
  chatgpt-telegram-bot:
    image: ghcr.io/altryne/chatgpt-telegram-bot
    container_name: chatgpt-telegram-bot
    environment:
      - TELEGRAM_API_KEY=
      - TELEGRAM_USER_ID= #Use this with your user ID to restrict usage only to your account
      - STABILITY_API_KEY= #use this if you want the bot to draw things with stability AI as well
      - SERP_API_KEY= #add this from serpapi if you want to enable the google search feature
      - OPEN_AI_EMAIL= #openai login email. Needed for autologin in headless mode
      - OPEN_AI_PASSWORD= #openai password. Needed for autologin in headless mode

Credits


Download details:

Author: altryne
Source code: https://github.co m/altryne/chatGPT-telegram-bot

License: MIT license

#chartgpt