Repository: yesbhautik/Whatsapp-Ai-BOT
Branch: main
Commit: 05593ec3ee54
Files: 19
Total size: 73.8 KB
Directory structure:
gitextract_6j4livl0/
├── .deepsource.toml
├── .github/
│ ├── CODEOWNERS
│ ├── CODE_OF_CONDUCT.md
│ ├── FUNDING.yml
│ ├── ISSUE_TEMPLATE/
│ │ ├── bug_report.md
│ │ └── feature_request.md
│ ├── PULL_REQUEST_TEMPLATE.md
│ └── SECURITY.md
├── .gitignore
├── Docs/
│ └── Deployment/
│ ├── Android.md
│ ├── Linux.md
│ ├── MacOS.md
│ └── Windows.md
├── LICENSE
├── README.md
├── example.key.json
├── index.js
├── package.json
└── yesbhautikai.js
================================================
FILE CONTENTS
================================================
================================================
FILE: .deepsource.toml
================================================
version = 1
[[analyzers]]
name = "python"
[analyzers.meta]
runtime_version = "3.x.x"
================================================
FILE: .github/CODEOWNERS
================================================
================================================
FILE: .github/CODE_OF_CONDUCT.md
================================================
# Code of Conduct
## Our Pledge
In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation.
## Our Standards
Examples of behavior that contributes to creating a positive environment include:
- Using welcoming and inclusive language
- Being respectful of differing viewpoints and experiences
- Gracefully accepting constructive criticism
- Focusing on what is best for the community
- Showing empathy towards other community members
Examples of unacceptable behavior by participants include:
- The use of sexualized language or imagery and unwelcome sexual attention or advances
- Trolling, insulting/derogatory comments, and personal or political attacks
- Public or private harassment
- Publishing others' private information, such as a physical or electronic address, without explicit permission
- Other conduct which could reasonably be considered inappropriate in a professional setting
## Our Responsibilities
Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior.
Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful.
## Scope
This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event.
## Enforcement
Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team at [hi@yesbhautik.co.in](mailto:hi@yesbhautik.co.in). All complaints will be reviewed and investigated and will result in a response that is deemed necessary and appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately.
Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership.
## Attribution
This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org), version 1.4, available at [https://www.contributor-covenant.org/version/1/4/code-of-conduct.html](https://www.contributor-covenant.org/version/1/4/code-of-conduct.html).
================================================
FILE: .github/FUNDING.yml
================================================
github: yesbhautik
patreon:
open_collective:
ko_fi:
tidelift:
community_bridge:
liberapay:
issuehunt:
otechie:
lfx_crowdfunding:
================================================
FILE: .github/ISSUE_TEMPLATE/bug_report.md
================================================
---
name: Bug report
about: Create a report to help us improve
title: ''
labels: ''
assignees: ''
---
**Describe the bug**
A clear and concise description of what the bug is.
**To Reproduce**
Steps to reproduce the behavior:
1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error
**Expected behavior**
A clear and concise description of what you expected to happen.
**Screenshots**
If applicable, add screenshots to help explain your problem.
**Desktop (please complete the following information):**
- OS: [e.g. iOS]
- Browser [e.g. chrome, safari]
- Version [e.g. 22]
**Smartphone (please complete the following information):**
- Device: [e.g. iPhone6]
- OS: [e.g. iOS8.1]
- Browser [e.g. stock browser, safari]
- Version [e.g. 22]
**Additional context**
Add any other context about the problem here.
================================================
FILE: .github/ISSUE_TEMPLATE/feature_request.md
================================================
---
name: Feature request
about: Suggest an idea for this project
title: ''
labels: ''
assignees: ''
---
**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
**Describe the solution you'd like**
A clear and concise description of what you want to happen.
**Describe alternatives you've considered**
A clear and concise description of any alternative solutions or features you've considered.
**Additional context**
Add any other context or screenshots about the feature request here.
================================================
FILE: .github/PULL_REQUEST_TEMPLATE.md
================================================
================================================
FILE: .github/SECURITY.md
================================================
# Security Policy
## Supported Versions
Use this section to tell people about which versions of your project are currently being supported with security updates.
| Version | Supported |
| ------- | ------------------ |
| 2.1.0 | :white_check_mark: |
| < 2.1.0 | :x: |
## Reporting a Vulnerability
If you believe you have found a security vulnerability in our project, we encourage you to let us know right away. We will investigate all legitimate reports and do our best to quickly fix the problem. Please do not disclose the issue publicly until we have had a chance to address it.
### How to Report a Security Vulnerability?
To report a security issue, please send an email to [hi@yesbhautik.co.in](mailto:hi@yesbhautik.co.in) with the following information:
- A clear description of the issue, including how it can be reproduced.
- Any relevant screenshots or logs.
- Your contact information for follow-up.
We take all security bugs seriously and appreciate your efforts to responsibly disclose your findings.
### What to Expect?
After submitting a report, you should receive an acknowledgment of your report within 48 hours, and we'll strive to keep you informed about our progress toward a fix and full announcement. We may also ask for additional information or guidance.
Thank you for helping keep our project and our users safe.
================================================
FILE: .gitignore
================================================
# ignore node modules
node_modules/
# ignore /yesbhautik/* excluding convo.txt file
/yesbhautik/*
!/yesbhautik/convo.txt
# ignore package-lock.json
package-lock.json
key.json
================================================
FILE: Docs/Deployment/Android.md
================================================
### Deploy on Android/Termux<br>
1. Install Termux App: [Click link to download](https://f-droid.org/en/packages/com.termux/)
2. Install NodeJS, nano and Git:
```bash
pkg install git nodejs nano -y
```
3. Clone the repository:
```bash
git clone https://github.com/yesbhautik/Whatsapp-Ai-BOT
```
4. Go to the project directory:
```bash
cd Whatsapp-Ai-BOT
```
5. Install node_modules manually by downloading [here](https://go.yesbhautik.co.in/m1n07d1r) and extracting to the project directory.
6. Configure OpenAI API
```bash
cp example.key.json key.json
nano key.json
```
> Replace "OPENAI_API_KEY" with your actual [OpenAI API](https://go.yesbhautik.co.in/8b2ayw) key.
7. Run the project:
```
node index.js
```
================================================
FILE: Docs/Deployment/Linux.md
================================================
### Deploy on Linux</br>
1. Install NodeJS, nano and Git Bash.
```bash
sudo apt -y remove nodejs
curl -fsSl https://deb.nodesource.com/setup_lts.x | sudo bash - && sudo apt -y install nodejs
apt install git nano -y
```
2. Clone the repository:
```bash
git clone https://github.com/yesbhautik/Whatsapp-Ai-BOT
```
3. Go to the project directory:
```bash
cd Whatsapp-Ai-BOT
```
4. Clean NPM Cache:
```bash
npm cache clean --force
```
5. Install dependencies:
```bash
npm i
```
6. Configure OpenAI API
```bash
cp example.key.json key.json
nano key.json
```
> Replace "OPENAI_API_KEY" with your actual [OpenAI API](https://go.yesbhautik.co.in/8b2ayw) key.
7. Run the project:
```bash
npm start
```
================================================
FILE: Docs/Deployment/MacOS.md
================================================
### Deploy on MacOS</br>
1. Install NodeJS, nano and Git Bash.
```bash
sudo apt -y remove nodejs
curl -fsSl https://deb.nodesource.com/setup_lts.x | sudo bash - && sudo apt -y install nodejs
apt install git nano -y
```
2. Clone the repository:
```bash
git clone https://github.com/yesbhautik/Whatsapp-Ai-BOT
```
3. Go to the project directory:
```bash
cd Whatsapp-Ai-BOT
```
4. Clean NPM Cache:
```bash
npm cache clean --force
```
5. Install dependencies:
```bash
npm i
```
6. Configure OpenAI API
```bash
cp example.key.json key.json
nano key.json
```
> Replace "OPENAI_API_KEY" with your actual [OpenAI API](https://go.yesbhautik.co.in/8b2ayw) key.
7. Run the project:
```bash
npm start
```
================================================
FILE: Docs/Deployment/Windows.md
================================================
### Deploy on Windows</br>
1. Install NodeJS and Git Bash.
- NodeJS https://nodejs.org/en/download/ <br>
- Git https://git-scm.com/downloads/
- After this run following command in powershell
<br>
```bash
npm install -g npm
```
2. Clone the repository:
```bash
git clone https://github.com/yesbhautik/Whatsapp-Ai-BOT
```
3. Go to the project directory:
```bash
cd Whatsapp-Ai-BOT
```
4. Clean NPM Cache:
```bash
npm cache clean --force
```
5. Install dependencies:
```bash
npm i
```
6. Configure OpenAI API
```bash
cp example.key.json key.json
notepad key.json
```
> Replace "OPENAI_API_KEY" with your actual [OpenAI API](https://go.yesbhautik.co.in/8b2ayw) key.
7. Run the project:
```bash
npm start
```
================================================
FILE: LICENSE
================================================
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================================================
FILE: README.md
================================================
# 💬 Whatsapp-Ai-BOT 🤖
A cutting-edge AI chatbot for WhatsApp 🤖💬 built using NodeJS technology and powered by OpenAI. This project leverages the advanced deep learning models of ChatGPT, Playground, and DALL·E from OpenAI.
## 💻 Created with NodeJS and Baileys Library
This repository contains the source code for a WhatsApp AI Bot that utilizes OpenAI's ChatGPT and DALL-E technology to provide a unique text-based and image-based conversational experience for users. The library used for integration is [Baileys](https://github.com/WhiskeySockets/Baileys).
## 🔍 READ FIRST
Please note that this bot has 2 features - ChatGPT (text) and DALL-E (Text To Image). To use these features, simply use the commands `/ai`, `/img`, and `/sc` respectively.
## 🔒 Unlock the Magic
The magic of this AI WhatsApp bot lies in its code, which has been carefully crafted and encrypted to protect it from prying eyes. But don't worry, if you need to take a closer look and understand the workings of the bot, just drop me a message on my website or LinkedIn. I'll be happy to share the key to unlock the full potential of this amazing creation. 🔓
## 🔴 Get LLMs official API at affordable price
Give a ping on [Telegram](https://t.me/yesbhautik) | [WhatsApp](https://wa.me/+916353586391)
## 📦 Code Distribution
| Features | FREE | PRIME |
| ----- | ----- | ----- |
| Encrypted code (no changes in functionality) | ✅ | ❌ |
| History mode | ❌ | ✅ |
| Prime Support | ❌ | ✅ |
| Customizable | ❌ | ✅ |
| DALL-E 3 with resolution Mods | ❌ | ✅ |
| GPT4 | ❌ | ✅ |
| Decrypted code | ❌ | ✅ |
| Regular Updates | ❌ | ✅ |
| Exclusive API offers | ❌ | ✅ |
| Commercial allowed licence | ❌ | ✅ |
### Get access to [PRIME REPO](https://pages.razorpay.com/Whatsapp-Ai-BOT)
## 🚀 Getting Started
> Get an OpenAI API Key by creating an account [here](https://go.yesbhautik.co.in/l76e5p).
Replace the API Key in the `key.json` file.
## Deployment Documentation
### [Windows](https://github.com/yesbhautik/Whatsapp-Ai-BOT/blob/main/Docs/Deployment/Windows.md)
### [Linux](https://github.com/yesbhautik/Whatsapp-Ai-BOT/blob/main/Docs/Deployment/Linux.md)
### [MacOS](https://github.com/yesbhautik/Whatsapp-Ai-BOT/blob/main/Docs/Deployment/MacOS.md)
### [Android/Termux](https://github.com/yesbhautik/Whatsapp-Ai-BOT/blob/main/Docs/Deployment/Android.md)
## 
To learn more about this AI WhatsApp bot and its features, you can watch the tutorial videos on my YouTube channel. Visit [here](https://youtu.be/4lk6IMZ544s) to access the videos.
## Contributing 🤝
Contributions are welcome! Please follow these steps to contribute to the project:
> Fork the repository🍴
Create a new branch for your feature or bug fix 🌿
Make your changes and commit them 💻
Push your changes to your fork 🚀
Create a pull request to the main repository 📥
## 🔥 Show some support | Donation
If you find this repository helpful, show your support by giving it a 🌟! Your support means a lot to me and helps me keep contributing to the open-source community.
Also, if you'd like to support & motivate me for hard work, you can do so via my donation link: [https://rzp.io/l/Whatsapp-Ai-BOT](https://rzp.io/l/Whatsapp-Ai-BOT)
## 💬 Let's Connect
Feel free to reach out to us if you have questions, ideas, or simply want to chat. We're here to help and connect with the community.
[Website](https://yesbhautik.co.in/) | [YesbhautikX](https://yesbhautikx.co.in/) | [LinkedIn](https://www.linkedin.com/in/yesbhautik) | [GitHub](https://github.com/yesbhautik)
## 📜 License
This repository is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/). For more information, see the [LICENSE](LICENSE) file.
<!--- Eraser file: https://app.eraser.io/workspace/yaybhl5onK6i8JeUiGxJ --->
================================================
FILE: example.key.json
================================================
{
"keyopenai": "OPENAI_API_KEY",
"donate": "Support WhatsApp-Ai-BOT Project and in return, get exclusive access to PRIME version. https://rzp.io/l/Whatsapp-Ai-BOT"
}
================================================
FILE: index.js
================================================
function _0x4f7b(_0x260f88, _0x270b96) {
const _0x5ea8eb = _0x5ea8();
return (
(_0x4f7b = function (_0x4f7b5e, _0x41a01f) {
_0x4f7b5e = _0x4f7b5e - 0x192;
let _0x5aa78b = _0x5ea8eb[_0x4f7b5e];
return _0x5aa78b;
}),
_0x4f7b(_0x260f88, _0x270b96)
);
}
const _0x4003d6 = _0x4f7b;
(function (_0x1cc439, _0x99636c) {
const _0x109c7f = _0x4f7b,
_0xda7897 = _0x1cc439();
while (!![]) {
try {
const _0x18c644 =
(parseInt(_0x109c7f(0x1fc)) / 0x1) *
(parseInt(_0x109c7f(0x19a)) / 0x2) +
parseInt(_0x109c7f(0x1de)) / 0x3 +
-parseInt(_0x109c7f(0x1c0)) / 0x4 +
-parseInt(_0x109c7f(0x21e)) / 0x5 +
(parseInt(_0x109c7f(0x1b3)) / 0x6) *
(-parseInt(_0x109c7f(0x193)) / 0x7) +
(parseInt(_0x109c7f(0x201)) / 0x8) *
(-parseInt(_0x109c7f(0x1b5)) / 0x9) +
parseInt(_0x109c7f(0x1c9)) / 0xa;
if (_0x18c644 === _0x99636c) break;
else _0xda7897["push"](_0xda7897["shift"]());
} catch (_0x5e992d) {
_0xda7897["push"](_0xda7897["shift"]());
}
}
})(_0x5ea8, 0xc9022);
const sessionName = "Yesbhautik",
donet = _0x4003d6(0x205),
owner = [_0x4003d6(0x1e1)],
{
default: yesbhautikaiConnect,
useMultiFileAuthState,
DisconnectReason,
fetchLatestBaileysVersion,
makeInMemoryStore,
jidDecode,
proto,
getContentType,
Browsers,
fetchLatestWaWebVersion,
} = require(_0x4003d6(0x213)),
pino = require("pino"),
{ Boom } = require("@hapi/boom"),
fs = require("fs"),
axios = require(_0x4003d6(0x221)),
chalk = require(_0x4003d6(0x1e7)),
figlet = require(_0x4003d6(0x1ed)),
_ = require(_0x4003d6(0x214)),
PhoneNumber = require("awesome-phonenumber"),
store = makeInMemoryStore({
logger: pino()[_0x4003d6(0x1aa)]({
level: _0x4003d6(0x20e),
stream: _0x4003d6(0x212),
}),
}),
color = (_0x50bd69, _0x66a585) => {
const _0x3aa087 = _0x4003d6;
return !_0x66a585
? chalk[_0x3aa087(0x1e8)](_0x50bd69)
: chalk[_0x3aa087(0x1f1)](_0x66a585)(_0x50bd69);
};
function smsg(_0x1ac937, _0x3e6a42, _0xd50a88) {
const _0x57788a = _0x4003d6;
if (!_0x3e6a42) return _0x3e6a42;
let _0x533f62 = proto[_0x57788a(0x20c)];
if (_0x3e6a42[_0x57788a(0x1f0)]) {
(_0x3e6a42["id"] = _0x3e6a42[_0x57788a(0x1f0)]["id"]),
(_0x3e6a42[_0x57788a(0x1e9)] =
_0x3e6a42["id"][_0x57788a(0x1dc)](_0x57788a(0x1bf)) &&
_0x3e6a42["id"][_0x57788a(0x1a7)] === 0x10),
(_0x3e6a42[_0x57788a(0x1f2)] = _0x3e6a42["key"]["remoteJid"]),
(_0x3e6a42[_0x57788a(0x1a2)] = _0x3e6a42["key"][_0x57788a(0x1a2)]),
(_0x3e6a42[_0x57788a(0x1cc)] = _0x3e6a42["chat"]["endsWith"](
_0x57788a(0x194)
)),
(_0x3e6a42[_0x57788a(0x1f9)] = _0x1ac937[_0x57788a(0x1d2)](
(_0x3e6a42["fromMe"] && _0x1ac937["user"]["id"]) ||
_0x3e6a42[_0x57788a(0x217)] ||
_0x3e6a42[_0x57788a(0x1f0)]["participant"] ||
_0x3e6a42[_0x57788a(0x1f2)] ||
""
));
if (_0x3e6a42["isGroup"])
_0x3e6a42[_0x57788a(0x217)] =
_0x1ac937[_0x57788a(0x1d2)](_0x3e6a42["key"]["participant"]) || "";
}
if (_0x3e6a42[_0x57788a(0x1c1)]) {
(_0x3e6a42[_0x57788a(0x1ab)] = getContentType(_0x3e6a42[_0x57788a(0x1c1)])),
(_0x3e6a42[_0x57788a(0x1fe)] =
_0x3e6a42[_0x57788a(0x1ab)] == _0x57788a(0x1d0)
? _0x3e6a42[_0x57788a(0x1c1)][_0x3e6a42[_0x57788a(0x1ab)]]["message"][
getContentType(
_0x3e6a42[_0x57788a(0x1c1)][_0x3e6a42[_0x57788a(0x1ab)]][
_0x57788a(0x1c1)
]
)
]
: _0x3e6a42["message"][_0x3e6a42[_0x57788a(0x1ab)]]),
(_0x3e6a42[_0x57788a(0x19b)] =
_0x3e6a42[_0x57788a(0x1c1)]["conversation"] ||
_0x3e6a42[_0x57788a(0x1fe)][_0x57788a(0x19e)] ||
_0x3e6a42[_0x57788a(0x1fe)]["text"] ||
(_0x3e6a42[_0x57788a(0x1ab)] == _0x57788a(0x1e6) &&
_0x3e6a42["msg"][_0x57788a(0x1c3)][_0x57788a(0x1bd)]) ||
(_0x3e6a42["mtype"] == _0x57788a(0x1f4) &&
_0x3e6a42[_0x57788a(0x1fe)]["selectedButtonId"]) ||
(_0x3e6a42[_0x57788a(0x1ab)] == _0x57788a(0x1d0) &&
_0x3e6a42["msg"][_0x57788a(0x19e)]) ||
_0x3e6a42["text"]);
let _0x1832d0 = (_0x3e6a42[_0x57788a(0x200)] = _0x3e6a42[_0x57788a(0x1fe)][
_0x57788a(0x1b0)
]
? _0x3e6a42[_0x57788a(0x1fe)][_0x57788a(0x1b0)][_0x57788a(0x1a1)]
: null);
_0x3e6a42[_0x57788a(0x220)] = _0x3e6a42["msg"][_0x57788a(0x1b0)]
? _0x3e6a42[_0x57788a(0x1fe)]["contextInfo"][_0x57788a(0x220)]
: [];
if (_0x3e6a42[_0x57788a(0x200)]) {
let _0xbc61e8 = getContentType(_0x1832d0);
_0x3e6a42[_0x57788a(0x200)] = _0x3e6a42[_0x57788a(0x200)][_0xbc61e8];
[_0x57788a(0x20a)]["includes"](_0xbc61e8) &&
((_0xbc61e8 = getContentType(_0x3e6a42["quoted"])),
(_0x3e6a42[_0x57788a(0x200)] = _0x3e6a42[_0x57788a(0x200)][_0xbc61e8]));
if (typeof _0x3e6a42[_0x57788a(0x200)] === _0x57788a(0x1ef))
_0x3e6a42[_0x57788a(0x200)] = { text: _0x3e6a42[_0x57788a(0x200)] };
(_0x3e6a42[_0x57788a(0x200)][_0x57788a(0x1ab)] = _0xbc61e8),
(_0x3e6a42[_0x57788a(0x200)]["id"] =
_0x3e6a42[_0x57788a(0x1fe)]["contextInfo"][_0x57788a(0x1be)]),
(_0x3e6a42[_0x57788a(0x200)]["chat"] =
_0x3e6a42[_0x57788a(0x1fe)][_0x57788a(0x1b0)][_0x57788a(0x216)] ||
_0x3e6a42[_0x57788a(0x1f2)]),
(_0x3e6a42["quoted"][_0x57788a(0x1e9)] = _0x3e6a42[_0x57788a(0x200)][
"id"
]
? _0x3e6a42[_0x57788a(0x200)]["id"][_0x57788a(0x1dc)]("BAE5") &&
_0x3e6a42["quoted"]["id"][_0x57788a(0x1a7)] === 0x10
: ![]),
(_0x3e6a42[_0x57788a(0x200)][_0x57788a(0x1f9)] = _0x1ac937["decodeJid"](
_0x3e6a42[_0x57788a(0x1fe)][_0x57788a(0x1b0)][_0x57788a(0x217)]
)),
(_0x3e6a42["quoted"][_0x57788a(0x1a2)] =
_0x3e6a42[_0x57788a(0x200)]["sender"] ===
_0x1ac937[_0x57788a(0x1d2)](_0x1ac937[_0x57788a(0x20d)]["id"])),
(_0x3e6a42[_0x57788a(0x200)]["text"] =
_0x3e6a42[_0x57788a(0x200)]["text"] ||
_0x3e6a42[_0x57788a(0x200)]["caption"] ||
_0x3e6a42[_0x57788a(0x200)][_0x57788a(0x1c6)] ||
_0x3e6a42[_0x57788a(0x200)][_0x57788a(0x209)] ||
_0x3e6a42[_0x57788a(0x200)][_0x57788a(0x203)] ||
_0x3e6a42[_0x57788a(0x200)][_0x57788a(0x1e0)] ||
""),
(_0x3e6a42["quoted"][_0x57788a(0x220)] = _0x3e6a42[_0x57788a(0x1fe)][
"contextInfo"
]
? _0x3e6a42["msg"][_0x57788a(0x1b0)]["mentionedJid"]
: []),
(_0x3e6a42[_0x57788a(0x1a9)] = _0x3e6a42[_0x57788a(0x1ac)] =
async () => {
const _0x4a86e5 = _0x57788a;
if (!_0x3e6a42[_0x4a86e5(0x200)]["id"]) return ![];
let _0x3d8d39 = await _0xd50a88[_0x4a86e5(0x1b7)](
_0x3e6a42[_0x4a86e5(0x1f2)],
_0x3e6a42[_0x4a86e5(0x200)]["id"],
_0x1ac937
);
return exports[_0x4a86e5(0x1b9)](_0x1ac937, _0x3d8d39, _0xd50a88);
});
let _0x5b03c3 = (_0x3e6a42["quoted"][_0x57788a(0x1a0)] = _0x533f62[
_0x57788a(0x1af)
]({
key: {
remoteJid: _0x3e6a42[_0x57788a(0x200)][_0x57788a(0x1f2)],
fromMe: _0x3e6a42["quoted"]["fromMe"],
id: _0x3e6a42[_0x57788a(0x200)]["id"],
},
message: _0x1832d0,
...(_0x3e6a42["isGroup"]
? { participant: _0x3e6a42[_0x57788a(0x200)]["sender"] }
: {}),
}));
(_0x3e6a42["quoted"][_0x57788a(0x1cf)] = () =>
_0x1ac937[_0x57788a(0x1ae)](
_0x3e6a42[_0x57788a(0x200)][_0x57788a(0x1f2)],
{ delete: _0x5b03c3[_0x57788a(0x1f0)] }
)),
(_0x3e6a42[_0x57788a(0x200)][_0x57788a(0x19c)] = (
_0xcf095c,
_0x284131 = ![],
_0x27765b = {}
) =>
_0x1ac937["copyNForward"](
_0xcf095c,
_0x5b03c3,
_0x284131,
_0x27765b
)),
(_0x3e6a42[_0x57788a(0x200)][_0x57788a(0x21f)] = () =>
_0x1ac937[_0x57788a(0x198)](_0x3e6a42[_0x57788a(0x200)]));
}
}
if (_0x3e6a42[_0x57788a(0x1fe)][_0x57788a(0x1fd)])
_0x3e6a42["download"] = () =>
_0x1ac937[_0x57788a(0x198)](_0x3e6a42[_0x57788a(0x1fe)]);
return (
(_0x3e6a42[_0x57788a(0x215)] =
_0x3e6a42[_0x57788a(0x1fe)]["text"] ||
_0x3e6a42["msg"][_0x57788a(0x19e)] ||
_0x3e6a42[_0x57788a(0x1c1)][_0x57788a(0x1c6)] ||
_0x3e6a42["msg"][_0x57788a(0x209)] ||
_0x3e6a42["msg"][_0x57788a(0x203)] ||
_0x3e6a42[_0x57788a(0x1fe)][_0x57788a(0x1e0)] ||
""),
(_0x3e6a42[_0x57788a(0x1d4)] = (
_0x443444,
_0x3392a5 = _0x3e6a42[_0x57788a(0x1f2)],
_0x16c97a = {}
) =>
Buffer[_0x57788a(0x1c7)](_0x443444)
? _0x1ac937[_0x57788a(0x224)](
_0x3392a5,
_0x443444,
"file",
"",
_0x3e6a42,
{ ..._0x16c97a }
)
: _0x1ac937[_0x57788a(0x1ee)](_0x3392a5, _0x443444, _0x3e6a42, {
..._0x16c97a,
})),
(_0x3e6a42["copy"] = () =>
exports[_0x57788a(0x1b9)](
_0x1ac937,
_0x533f62["fromObject"](_0x533f62[_0x57788a(0x1e5)](_0x3e6a42))
)),
(_0x3e6a42["copyNForward"] = (
_0x14651c = _0x3e6a42["chat"],
_0x373a84 = ![],
_0xf90ae3 = {}
) =>
_0x1ac937[_0x57788a(0x19c)](_0x14651c, _0x3e6a42, _0x373a84, _0xf90ae3)),
_0x3e6a42
);
}
function _0x5ea8() {
const _0x15aa9b = [
"error",
"singleSelectReply",
"@broadcast",
"groupAcceptInvite",
"conversation",
"isBuffer",
"default",
"34541740TPadze",
"set",
"base64",
"isGroup",
"international",
"open",
"delete",
"viewOnceMessage",
"Connection\x20closed,\x20reconnecting....",
"decodeJid",
"Type\x20/menu\x20to\x20see\x20menu",
"reply",
"groupMetadata",
"Device\x20Logged\x20Out,\x20Please\x20Delete\x20Folder\x20Session\x20yusril\x20and\x20Scan\x20Again.",
"Connection\x20Lost\x20from\x20Server,\x20reconnecting...",
"cMod",
"Yesbhautik",
"contacts.update",
"cache",
"startsWith",
"2.1.0",
"3355227jcppqF",
"getNumber",
"title",
"916353586391",
"keys",
"split",
"includes",
"toObject",
"listResponseMessage",
"chalk",
"green",
"isBaileys",
"yellow",
"alloc",
"WhatsApp",
"figlet",
"sendText",
"string",
"key",
"keyword",
"chat",
"badSession",
"buttonsResponseMessage",
"@s.whatsapp.net",
"getName",
"public",
"subject",
"sender",
"serializeM",
"close",
"3kSsfMy",
"url",
"msg",
"redBright",
"quoted",
"64bmSpGg",
"verifiedName",
"selectedDisplayText",
"connectionClosed",
"https://rzp.io/l/Whatsapp-Ai-BOT",
"connectionReplaced",
"output",
"catch",
"contentText",
"productMessage",
"from",
"WebMessageInfo",
"user",
"silent",
"0@s.whatsapp.net",
"exit",
"Bot\x20success\x20conneted\x20to\x20server",
"store",
"@whiskeysockets/baileys",
"lodash",
"text",
"remoteJid",
"participant",
"Bot\x20started!\x0a\x0aSupport\x20WhatsApp-Ai-BOT\x20Project\x20and\x20in\x20return,\x20get\x20exclusive\x20access\x20to\x20PRIME\x20version.\x0a",
"server",
"status",
"Support\x20WhatsApp-Ai-BOT\x20Project\x20and\x20in\x20return,\x20get\x20exclusive\x20access\x20to\x20PRIME\x20version.\x20https://rzp.io/l/Whatsapp-Ai-BOT",
"unwatchFile",
"reason:",
"6245705KkzZQZ",
"download",
"mentionedJid",
"axios",
"Standard",
"Whatsapp-Ai-Bot\x20-\x20YesbhautikX",
"sendMedia",
"watchFile",
"3605YpVTNx",
"@g.us",
"session",
"utf-8",
"arraybuffer",
"downloadMediaMessage",
"test",
"328242qlpMOr",
"body",
"copyNForward",
"Caught\x20exception:\x20",
"caption",
"notify",
"fakeObj",
"quotedMessage",
"fromMe",
"Restart\x20Required,\x20Restarting...",
"Something\x20went\x20wrong",
"bind",
"withoutContact",
"length",
"join",
"getQuotedObj",
"child",
"mtype",
"getQuotedMessage",
"log",
"sendMessage",
"fromObject",
"contextInfo",
"ephemeralMessage",
"existsSync",
"14154CaIsid",
"timedOut",
"1328283VHDVAQ",
"Unhandled\x20Rejection\x20at:",
"loadMessage",
"name",
"smsg",
"restartRequired",
"contacts",
"DoV9wBztYVJ2aMAJ5rzrsO",
"selectedRowId",
"stanzaId",
"BAE5",
"2387576tuOszu",
"message",
];
_0x5ea8 = function () {
return _0x15aa9b;
};
return _0x5ea8();
}
async function startHisoka() {
const _0x5cdae0 = _0x4003d6,
{ state: _0x889194, saveCreds: _0x6f4dc8 } = await useMultiFileAuthState(
"./" + (sessionName ? sessionName : _0x5cdae0(0x195))
),
{ version: _0x33d4eb, isLatest: _0x327f92 } =
await fetchLatestWaWebVersion()[_0x5cdae0(0x208)](() =>
fetchLatestBaileysVersion()
);
console[_0x5cdae0(0x1ad)](
"using\x20WA\x20v" +
_0x33d4eb[_0x5cdae0(0x1a8)](".") +
",\x20isLatest:\x20" +
_0x327f92
),
console[_0x5cdae0(0x1ad)](
color(
figlet["textSync"](_0x5cdae0(0x1d9), {
font: _0x5cdae0(0x222),
horizontalLayout: _0x5cdae0(0x1c8),
vertivalLayout: _0x5cdae0(0x1c8),
whitespaceBreak: ![],
}),
_0x5cdae0(0x1e8)
)
);
const _0x17b6e8 = yesbhautikaiConnect({
logger: pino({ level: _0x5cdae0(0x20e) }),
printQRInTerminal: !![],
browser: [_0x5cdae0(0x223), "Browser", _0x5cdae0(0x1dd)],
auth: _0x889194,
});
store[_0x5cdae0(0x1a5)](_0x17b6e8["ev"]),
_0x17b6e8["ev"]["on"]("messages.upsert", async (_0x8cd59c) => {
const _0x4f3d8d = _0x5cdae0;
try {
mek = _0x8cd59c["messages"][0x0];
if (!mek[_0x4f3d8d(0x1c1)]) return;
mek[_0x4f3d8d(0x1c1)] =
Object[_0x4f3d8d(0x1e2)](mek[_0x4f3d8d(0x1c1)])[0x0] ===
_0x4f3d8d(0x1b1)
? mek[_0x4f3d8d(0x1c1)][_0x4f3d8d(0x1b1)][_0x4f3d8d(0x1c1)]
: mek[_0x4f3d8d(0x1c1)];
if (
mek[_0x4f3d8d(0x1f0)] &&
mek[_0x4f3d8d(0x1f0)][_0x4f3d8d(0x216)] === "status@broadcast"
)
return;
if (
!_0x17b6e8[_0x4f3d8d(0x1f7)] &&
!mek[_0x4f3d8d(0x1f0)][_0x4f3d8d(0x1a2)] &&
_0x8cd59c["type"] === _0x4f3d8d(0x19f)
)
return;
if (
mek["key"]["id"][_0x4f3d8d(0x1dc)]("BAE5") &&
mek["key"]["id"][_0x4f3d8d(0x1a7)] === 0x10
)
return;
(m = smsg(_0x17b6e8, mek, store)),
require("./yesbhautikai")(_0x17b6e8, m, _0x8cd59c, store);
} catch (_0xc1f942) {
console[_0x4f3d8d(0x1ad)](_0xc1f942);
}
});
const _0x114dee = new Map();
process["on"]("unhandledRejection", (_0x1e2d7a, _0x571d5e) => {
const _0x1dadb5 = _0x5cdae0;
_0x114dee[_0x1dadb5(0x1ca)](_0x571d5e, _0x1e2d7a),
console[_0x1dadb5(0x1ad)](
_0x1dadb5(0x1b6),
_0x571d5e,
_0x1dadb5(0x21d),
_0x1e2d7a
);
}),
process["on"]("rejectionHandled", (_0x58f15b) => {
const _0xcdbee9 = _0x5cdae0;
_0x114dee[_0xcdbee9(0x1cf)](_0x58f15b);
}),
process["on"](_0x5cdae0(0x1a4), function (_0x5e1745) {
const _0x2e6542 = _0x5cdae0;
console[_0x2e6542(0x1ad)](_0x2e6542(0x19d), _0x5e1745);
}),
(_0x17b6e8[_0x5cdae0(0x1d2)] = (_0xb8669f) => {
const _0x46fffe = _0x5cdae0;
if (!_0xb8669f) return _0xb8669f;
if (/:\d+@/gi[_0x46fffe(0x199)](_0xb8669f)) {
let _0x23f159 = jidDecode(_0xb8669f) || {};
return (
(_0x23f159[_0x46fffe(0x20d)] &&
_0x23f159["server"] &&
_0x23f159[_0x46fffe(0x20d)] + "@" + _0x23f159[_0x46fffe(0x219)]) ||
_0xb8669f
);
} else return _0xb8669f;
}),
_0x17b6e8["ev"]["on"](_0x5cdae0(0x1da), (_0x537d9e) => {
const _0x51ec0e = _0x5cdae0;
for (let _0x1e6608 of _0x537d9e) {
let _0x18618c = _0x17b6e8[_0x51ec0e(0x1d2)](_0x1e6608["id"]);
if (store && store[_0x51ec0e(0x1bb)])
store["contacts"][_0x18618c] = {
id: _0x18618c,
name: _0x1e6608[_0x51ec0e(0x19f)],
};
}
}),
(_0x17b6e8[_0x5cdae0(0x1f6)] = (_0x307648, _0x3b5c82 = ![]) => {
const _0x5a6c4f = _0x5cdae0;
(id = _0x17b6e8[_0x5a6c4f(0x1d2)](_0x307648)),
(_0x3b5c82 = _0x17b6e8[_0x5a6c4f(0x1a6)] || _0x3b5c82);
let _0x3aadd9;
if (id["endsWith"](_0x5a6c4f(0x194)))
return new Promise(async (_0x29172e) => {
const _0x384e02 = _0x5a6c4f;
_0x3aadd9 = store[_0x384e02(0x1bb)][id] || {};
if (!(_0x3aadd9[_0x384e02(0x1b8)] || _0x3aadd9[_0x384e02(0x1f8)]))
_0x3aadd9 = _0x17b6e8[_0x384e02(0x1d5)](id) || {};
_0x29172e(
_0x3aadd9[_0x384e02(0x1b8)] ||
_0x3aadd9[_0x384e02(0x1f8)] ||
PhoneNumber("+" + id["replace"](_0x384e02(0x1f5), ""))[
_0x384e02(0x1df)
](_0x384e02(0x1cd))
);
});
else
_0x3aadd9 =
id === _0x5a6c4f(0x20f)
? { id: id, name: _0x5a6c4f(0x1ec) }
: id ===
_0x17b6e8[_0x5a6c4f(0x1d2)](_0x17b6e8[_0x5a6c4f(0x20d)]["id"])
? _0x17b6e8[_0x5a6c4f(0x20d)]
: store["contacts"][id] || {};
return (
(_0x3b5c82 ? "" : _0x3aadd9["name"]) ||
_0x3aadd9["subject"] ||
_0x3aadd9[_0x5a6c4f(0x202)] ||
PhoneNumber("+" + _0x307648["replace"](_0x5a6c4f(0x1f5), ""))[
_0x5a6c4f(0x1df)
](_0x5a6c4f(0x1cd))
);
}),
(_0x17b6e8["setStatus"] = (_0xf621e5) => {
const _0x310548 = _0x5cdae0;
return (
_0x17b6e8["query"]({
tag: "iq",
attrs: {
to: _0x310548(0x1f5),
type: _0x310548(0x1ca),
xmlns: _0x310548(0x21a),
},
content: [
{
tag: _0x310548(0x21a),
attrs: {},
content: Buffer[_0x310548(0x20b)](_0xf621e5, _0x310548(0x196)),
},
],
}),
_0xf621e5
);
}),
(_0x17b6e8[_0x5cdae0(0x1f7)] = !![]),
(_0x17b6e8[_0x5cdae0(0x1fa)] = (_0x537a00) =>
smsg(_0x17b6e8, _0x537a00, store)),
_0x17b6e8["ev"]["on"]("connection.update", async (_0x3627ed) => {
const _0xd26331 = _0x5cdae0,
{ connection: _0x966e83, lastDisconnect: _0x1753f2 } = _0x3627ed;
if (_0x966e83 === _0xd26331(0x1fb)) {
let _0x15d475 = new Boom(_0x1753f2?.[_0xd26331(0x1c2)])?.[
_0xd26331(0x207)
]["statusCode"];
if (_0x15d475 === DisconnectReason[_0xd26331(0x1f3)])
console[_0xd26331(0x1ad)](
"Bad\x20Session\x20File,\x20Please\x20Delete\x20Session\x20and\x20Scan\x20Again"
),
process[_0xd26331(0x210)]();
else {
if (_0x15d475 === DisconnectReason[_0xd26331(0x204)])
console[_0xd26331(0x1ad)](_0xd26331(0x1d1)), startHisoka();
else {
if (_0x15d475 === DisconnectReason["connectionLost"])
console[_0xd26331(0x1ad)](_0xd26331(0x1d7)), startHisoka();
else {
if (_0x15d475 === DisconnectReason[_0xd26331(0x206)])
console["log"](
"Connection\x20Replaced,\x20Another\x20New\x20Session\x20Opened,\x20Please\x20Restart\x20Bot"
),
process["exit"]();
else {
if (_0x15d475 === DisconnectReason["loggedOut"])
console[_0xd26331(0x1ad)](_0xd26331(0x1d6)),
process["exit"]();
else {
if (_0x15d475 === DisconnectReason[_0xd26331(0x1ba)])
console["log"](_0xd26331(0x1a3)), startHisoka();
else
_0x15d475 === DisconnectReason[_0xd26331(0x1b4)]
? (console[_0xd26331(0x1ad)](
"Connection\x20TimedOut,\x20Reconnecting..."
),
startHisoka())
: (console[_0xd26331(0x1ad)](
"Unknown\x20DisconnectReason:\x20" +
_0x15d475 +
"|" +
_0x966e83
),
startHisoka());
}
}
}
}
}
} else {
if (_0x966e83 === _0xd26331(0x1ce)) {
console["log"](color(_0xd26331(0x211), "green")),
console["log"](color(_0xd26331(0x21b), _0xd26331(0x1ea))),
console[_0xd26331(0x1ad)](color(_0xd26331(0x1d3))),
_0x17b6e8[_0xd26331(0x1ae)](owner + _0xd26331(0x1f5), {
text: _0xd26331(0x218) + donet,
});
const _0x5ee741 = _0xd26331(0x1bc);
_0x17b6e8[_0xd26331(0x1c5)](_0x5ee741)
["then"]((_0x4e6a40) =>
console[_0xd26331(0x1ad)](
"Joined\x20the\x20group\x20with\x20response:\x20" + _0x4e6a40
)
)
["catch"]((_0x192ac7) =>
console[_0xd26331(0x1c2)](
"Failed\x20to\x20join\x20the\x20group:\x20" + _0x192ac7
)
);
}
}
}),
_0x17b6e8["ev"]["on"]("creds.update", _0x6f4dc8);
const _0x5853c3 = async (_0x3b91a7, _0x16ef30) => {
const _0xdcbc86 = _0x5cdae0;
try {
_0x16ef30 ? _0x16ef30 : {};
const _0x52bbdb = await axios({
method: "get",
url: _0x3b91a7,
headers: { DNT: 0x1, "Upgrade-Insecure-Request": 0x1 },
..._0x16ef30,
responseType: _0xdcbc86(0x197),
});
return _0x52bbdb["data"];
} catch (_0x1681ed) {
return _0x1681ed;
}
};
return (
(_0x17b6e8["sendImage"] = async (
_0x99b4e3,
_0x5b9a08,
_0x3a5789 = "",
_0x39f640 = "",
_0x42a54c
) => {
const _0x1506ea = _0x5cdae0;
let _0x9cdca4 = Buffer[_0x1506ea(0x1c7)](_0x5b9a08)
? _0x5b9a08
: /^data:.*?\/.*?;base64,/i[_0x1506ea(0x199)](_0x5b9a08)
? Buffer[_0x1506ea(0x20b)](
_0x5b9a08[_0x1506ea(0x1e3)]`,`[0x1],
_0x1506ea(0x1cb)
)
: /^https?:\/\//["test"](_0x5b9a08)
? await await _0x5853c3(_0x5b9a08)
: fs[_0x1506ea(0x1b2)](_0x5b9a08)
? fs["readFileSync"](_0x5b9a08)
: Buffer[_0x1506ea(0x1eb)](0x0);
return await _0x17b6e8[_0x1506ea(0x1ae)](
_0x99b4e3,
{ image: _0x9cdca4, caption: _0x3a5789, ..._0x42a54c },
{ quoted: _0x39f640 }
);
}),
(_0x17b6e8[_0x5cdae0(0x1ee)] = (
_0x9bb3b3,
_0x1fbc8d,
_0xc0b7d2 = "",
_0x52813e
) =>
_0x17b6e8[_0x5cdae0(0x1ae)](
_0x9bb3b3,
{ text: _0x1fbc8d, ..._0x52813e },
{ quoted: _0xc0b7d2 }
)),
(_0x17b6e8[_0x5cdae0(0x1d8)] = (
_0xca3d31,
_0x46ece5,
_0x4b8316 = "",
_0x2decd = _0x17b6e8["user"]["id"],
_0x9e0cd = {}
) => {
const _0x5d1184 = _0x5cdae0;
let _0x618bd3 = Object[_0x5d1184(0x1e2)](_0x46ece5["message"])[0x0],
_0x16edc4 = _0x618bd3 === _0x5d1184(0x1b1);
_0x16edc4 &&
(_0x618bd3 = Object[_0x5d1184(0x1e2)](
_0x46ece5[_0x5d1184(0x1c1)][_0x5d1184(0x1b1)][_0x5d1184(0x1c1)]
)[0x0]);
let _0x14ece9 = _0x16edc4
? _0x46ece5["message"]["ephemeralMessage"][_0x5d1184(0x1c1)]
: _0x46ece5[_0x5d1184(0x1c1)],
_0x2e2707 = _0x14ece9[_0x618bd3];
if (typeof _0x2e2707 === _0x5d1184(0x1ef))
_0x14ece9[_0x618bd3] = _0x4b8316 || _0x2e2707;
else {
if (_0x2e2707[_0x5d1184(0x19e)])
_0x2e2707[_0x5d1184(0x19e)] =
_0x4b8316 || _0x2e2707[_0x5d1184(0x19e)];
else {
if (_0x2e2707[_0x5d1184(0x215)])
_0x2e2707["text"] = _0x4b8316 || _0x2e2707[_0x5d1184(0x215)];
}
}
if (typeof _0x2e2707 !== _0x5d1184(0x1ef))
_0x14ece9[_0x618bd3] = { ..._0x2e2707, ..._0x9e0cd };
if (_0x46ece5["key"][_0x5d1184(0x217)])
_0x2decd = _0x46ece5[_0x5d1184(0x1f0)][_0x5d1184(0x217)] =
_0x2decd || _0x46ece5[_0x5d1184(0x1f0)][_0x5d1184(0x217)];
else {
if (_0x46ece5[_0x5d1184(0x1f0)]["participant"])
_0x2decd = _0x46ece5[_0x5d1184(0x1f0)][_0x5d1184(0x217)] =
_0x2decd || _0x46ece5[_0x5d1184(0x1f0)]["participant"];
}
if (
_0x46ece5["key"][_0x5d1184(0x216)][_0x5d1184(0x1e4)]("@s.whatsapp.net")
)
_0x2decd = _0x2decd || _0x46ece5[_0x5d1184(0x1f0)][_0x5d1184(0x216)];
else {
if (_0x46ece5["key"]["remoteJid"][_0x5d1184(0x1e4)](_0x5d1184(0x1c4)))
_0x2decd = _0x2decd || _0x46ece5[_0x5d1184(0x1f0)][_0x5d1184(0x216)];
}
return (
(_0x46ece5[_0x5d1184(0x1f0)][_0x5d1184(0x216)] = _0xca3d31),
(_0x46ece5[_0x5d1184(0x1f0)][_0x5d1184(0x1a2)] =
_0x2decd === _0x17b6e8[_0x5d1184(0x20d)]["id"]),
proto[_0x5d1184(0x20c)][_0x5d1184(0x1af)](_0x46ece5)
);
}),
_0x17b6e8
);
}
startHisoka();
let file = require["resolve"](__filename);
fs[_0x4003d6(0x192)](file, () => {
const _0x3f35c7 = _0x4003d6;
fs[_0x3f35c7(0x21c)](file),
console[_0x3f35c7(0x1ad)](
chalk[_0x3f35c7(0x1ff)]("Update\x20" + __filename)
),
delete require[_0x3f35c7(0x1db)][file],
require(file);
});
================================================
FILE: package.json
================================================
{
"name": "Whatsapp-Ai-BOT",
"version": "2.1.0",
"description": "Whatsapp Ai Bot, developed BY Bhautik Bavadiya with YesbhautikX",
"main": "index.js",
"type": "commonjs",
"scripts": {
"start": "node index.js"
},
"keywords": [
"termux",
"Whatsapp-Ai-BOT",
"whatsapp-openai",
"whatsapp-openai",
"whatsapp-bot",
"whatsapp-baileys",
"baileys-md",
"bot-wa",
"bot-md",
"yesbhautik",
"whatsapp-multi-device",
"YesbhautikX"
],
"base": "https://yesbhautik.co.in/",
"author": "YESBHAUTIK",
"license": "MIT",
"dependencies": {
"@hapi/boom": "^10.0.0",
"@whiskeysockets/baileys": "^6.6.0",
"awesome-phonenumber": "^2.64.0",
"axios": "^1.3.4",
"chalk": "^4.1.2",
"crypto": "^1.0.1",
"figlet": "^1.5.2",
"fs": "0.0.1-security",
"lodash": "^4.17.21",
"openai": "^4.20.1",
"pino": "^7.0.5",
"qrcode-terminal": "^0.12.0",
"util": "^0.12.4"
},
"directories": {
"lib": "lib",
"src": "src"
},
"repository": {
"type": "git",
"url": "git+https://github.com/yesbhautik/Whatsapp-Ai-BOT.git"
},
"bugs": {
"url": "https://github.com/yesbhautik/Whatsapp-Ai-BOT/issues"
},
"homepage": "https://github.com/yesbhautik/Whatsapp-Ai-BOT#readme"
}
================================================
FILE: yesbhautikai.js
================================================
const _0x39e3e6 = _0x2987;
(function (_0x34eda4, _0x4ab326) {
const _0x4ef61a = _0x2987,
_0x5333ec = _0x34eda4();
while (!![]) {
try {
const _0x119b60 =
parseInt(_0x4ef61a(0x9d)) / 0x1 +
(-parseInt(_0x4ef61a(0x86)) / 0x2) *
(-parseInt(_0x4ef61a(0x9c)) / 0x3) +
-parseInt(_0x4ef61a(0x96)) / 0x4 +
(parseInt(_0x4ef61a(0x8f)) / 0x5) * (-parseInt(_0x4ef61a(0x9a)) / 0x6) +
(-parseInt(_0x4ef61a(0x7b)) / 0x7) *
(-parseInt(_0x4ef61a(0xc4)) / 0x8) +
-parseInt(_0x4ef61a(0xae)) / 0x9 +
(-parseInt(_0x4ef61a(0xba)) / 0xa) * (-parseInt(_0x4ef61a(0xb4)) / 0xb);
if (_0x119b60 === _0x4ab326) break;
else _0x5333ec["push"](_0x5333ec["shift"]());
} catch (_0x5de297) {
_0x5333ec["push"](_0x5333ec["shift"]());
}
}
})(_0x4195, 0xce1ca);
const {
BufferJSON,
WA_DEFAULT_EPHEMERAL,
generateWAMessageFromContent,
proto,
generateWAMessageContent,
generateWAMessage,
prepareWAMessageMedia,
areJidsSameUser,
getContentType,
} = require(_0x39e3e6(0x94)),
fs = require("fs"),
util = require("util"),
chalk = require(_0x39e3e6(0xd1)),
OpenAI = require("openai");
let setting = require(_0x39e3e6(0xc6));
const openai = new OpenAI({ apiKey: setting[_0x39e3e6(0xaa)] });
module[_0x39e3e6(0xda)] = yesbhautikai = async (
_0x34e142,
_0x5cbb01,
_0x15882e
) => {
const _0x56484c = _0x39e3e6;
try {
var _0x512345 =
_0x5cbb01[_0x56484c(0x81)] === _0x56484c(0x8c)
? _0x5cbb01["message"][_0x56484c(0x8c)]
: _0x5cbb01[_0x56484c(0x81)] == _0x56484c(0x7e)
? _0x5cbb01[_0x56484c(0xcf)][_0x56484c(0x7e)][_0x56484c(0x99)]
: _0x5cbb01[_0x56484c(0x81)] == _0x56484c(0xa3)
? _0x5cbb01[_0x56484c(0xcf)]["videoMessage"][_0x56484c(0x99)]
: _0x5cbb01[_0x56484c(0x81)] == _0x56484c(0xe1)
? _0x5cbb01[_0x56484c(0xcf)][_0x56484c(0xe1)][_0x56484c(0xc0)]
: _0x5cbb01["mtype"] == _0x56484c(0xab)
? _0x5cbb01[_0x56484c(0xcf)][_0x56484c(0xab)][_0x56484c(0xca)]
: _0x5cbb01[_0x56484c(0x81)] == "listResponseMessage"
? _0x5cbb01[_0x56484c(0xcf)][_0x56484c(0xce)]["singleSelectReply"][
_0x56484c(0xa9)
]
: _0x5cbb01[_0x56484c(0x81)] == _0x56484c(0xd7)
? _0x5cbb01["message"][_0x56484c(0xd7)]["selectedId"]
: _0x5cbb01[_0x56484c(0x81)] === _0x56484c(0xc8)
? _0x5cbb01["message"][_0x56484c(0xab)]?.["selectedButtonId"] ||
_0x5cbb01["message"][_0x56484c(0xce)]?.[_0x56484c(0x9b)][
_0x56484c(0xa9)
] ||
_0x5cbb01["text"]
: "";
if (_0x5cbb01["mtype"] === _0x56484c(0x7a)) return;
var _0x52ffca =
typeof _0x5cbb01[_0x56484c(0xc0)] == _0x56484c(0xa0)
? _0x5cbb01[_0x56484c(0xc0)]
: "",
_0x51fe27 = /^[\\/!#.]/gi["test"](_0x512345)
? _0x512345[_0x56484c(0x8d)](/^[\\/!#.]/gi)
: "/";
const _0x4c9947 = _0x512345[_0x56484c(0xd6)](_0x51fe27),
_0x158081 = _0x512345["replace"](_0x51fe27, "")
[_0x56484c(0xe5)]()
["split"](/ +/)
[_0x56484c(0xb5)]()
["toLowerCase"](),
_0x5b303f = _0x512345[_0x56484c(0xe5)]()
[_0x56484c(0xcb)](/ +/)
[_0x56484c(0x82)](0x1),
_0x208872 = _0x5cbb01["pushName"] || "No\x20Name",
_0x388b86 = await _0x34e142[_0x56484c(0xd2)](
_0x34e142[_0x56484c(0xd0)]["id"]
),
_0x5654b1 = _0x5cbb01[_0x56484c(0xe3)] == _0x388b86 ? !![] : ![];
let _0x3e83e8 = (q = _0x5b303f[_0x56484c(0xbd)]("\x20"));
const _0x114cc2 = _0x52ffca["trim"]()[_0x56484c(0xd4)](
_0x52ffca["indexOf"]("\x20") + 0x1
),
_0x1ad373 = _0x114cc2[_0x56484c(0xe5)]()[_0x56484c(0xd4)](
_0x114cc2[_0x56484c(0x91)]("\x20") + 0x1
),
_0x5ba7d8 = _0x5cbb01["chat"],
_0x576d92 = _0x5cbb01[_0x56484c(0xbc)],
_0x2a4f69 = _0x5cbb01[_0x56484c(0xe3)],
_0x11c15a = _0x15882e["messages"][0x0],
_0x3d805d = (_0x436c29, _0x23af12) => {
const _0x46407c = _0x56484c;
return !_0x23af12
? chalk[_0x46407c(0xa1)](_0x436c29)
: chalk[_0x46407c(0xd5)](_0x23af12)(_0x436c29);
},
_0x331efc = _0x5cbb01[_0x56484c(0xdb)]
? await _0x34e142[_0x56484c(0xbe)](_0x5cbb01[_0x56484c(0x98)])[
_0x56484c(0xa7)
]((_0x524897) => {})
: "",
_0x5bdaeb = _0x5cbb01[_0x56484c(0xdb)] ? _0x331efc[_0x56484c(0x93)] : "";
let _0x1b1e36 =
_0x52ffca["length"] > 0x1e
? q[_0x56484c(0xd4)](0x0, 0x1e) + _0x56484c(0xd8)
: _0x52ffca;
if (_0x4c9947 && !_0x5cbb01[_0x56484c(0xdb)])
console[_0x56484c(0xad)](
chalk[_0x56484c(0x95)](chalk[_0x56484c(0xc1)](_0x56484c(0x8a))),
_0x3d805d(_0x1b1e36, _0x56484c(0x92)),
chalk[_0x56484c(0x7c)]("From"),
chalk[_0x56484c(0xa1)](_0x208872),
chalk[_0x56484c(0xe0)](
"[\x20" +
_0x5cbb01["sender"][_0x56484c(0x9e)](_0x56484c(0x9f), "") +
"\x20]"
)
);
else
_0x4c9947 &&
_0x5cbb01["isGroup"] &&
console[_0x56484c(0xad)](
chalk["black"](chalk[_0x56484c(0xc1)](_0x56484c(0x8a))),
_0x3d805d(_0x1b1e36, "turquoise"),
chalk[_0x56484c(0x7c)](_0x56484c(0xb7)),
chalk[_0x56484c(0xa1)](_0x208872),
chalk[_0x56484c(0xe0)](
"[\x20" +
_0x5cbb01[_0x56484c(0xe3)][_0x56484c(0x9e)](
"@s.whatsapp.net",
""
) +
"\x20]"
),
chalk[_0x56484c(0xb8)]("IN"),
chalk[_0x56484c(0xa1)](_0x5bdaeb)
);
if (_0x4c9947)
switch (_0x158081) {
case _0x56484c(0xdc):
case "menu":
case _0x56484c(0xd9):
case _0x56484c(0xa4):
_0x5cbb01["reply"](
_0x56484c(0xbf) +
_0x51fe27 +
_0x56484c(0xd3) +
_0x51fe27 +
_0x56484c(0xa2) +
_0x51fe27 +
_0x56484c(0x83)
);
break;
case "ai":
case _0x56484c(0x8b):
case _0x56484c(0x80):
case "ask":
try {
if (setting[_0x56484c(0xaa)] === _0x56484c(0xa8))
return _0x576d92(_0x56484c(0x8e));
if (!_0x3e83e8)
return _0x576d92(
_0x56484c(0x7d) +
_0x51fe27 +
_0x158081 +
"\x20What\x20is\x20a\x20recession"
);
const _0x9c56a8 = await openai["chat"][_0x56484c(0xb9)][
_0x56484c(0x88)
]({
messages: [{ role: _0x56484c(0xd0), content: q }],
model: _0x56484c(0xc5),
});
await _0x5cbb01[_0x56484c(0xbc)](
_0x9c56a8[_0x56484c(0xb6)][0x0][_0x56484c(0xcf)][_0x56484c(0x97)]
);
} catch (_0x510326) {
_0x510326[_0x56484c(0xde)]
? (console[_0x56484c(0xad)](
_0x510326[_0x56484c(0xde)][_0x56484c(0xc7)]
),
console[_0x56484c(0xad)](_0x510326[_0x56484c(0xde)]["data"]))
: (console[_0x56484c(0xad)](_0x510326),
_0x5cbb01[_0x56484c(0xbc)](
_0x56484c(0x85) + _0x510326[_0x56484c(0xcf)]
));
}
break;
case _0x56484c(0x7f):
case _0x56484c(0x89):
case _0x56484c(0xe4):
case _0x56484c(0xb3):
case "dall-e":
case _0x56484c(0xbb):
try {
if (setting[_0x56484c(0xaa)] === _0x56484c(0xa8))
return _0x576d92(_0x56484c(0xdf));
if (!_0x3e83e8)
return _0x576d92(
"Mcreate\x20an\x20image\x20from\x20AI.\x0a\x0aExample:\x0a" +
_0x51fe27 +
_0x158081 +
_0x56484c(0xcd)
);
const _0x11cf44 = await openai[_0x56484c(0xb3)][_0x56484c(0x87)]({
model: _0x56484c(0x84),
prompt: q,
n: 0x1,
size: "512x512",
});
_0x34e142["sendImage"](
_0x5ba7d8,
_0x11cf44[_0x56484c(0xc9)][0x0]["url"],
_0x3e83e8,
_0x11c15a
);
} catch (_0x103010) {
_0x103010["response"]
? (console["log"](_0x103010[_0x56484c(0xde)][_0x56484c(0xc7)]),
console[_0x56484c(0xad)](
_0x103010[_0x56484c(0xde)][_0x56484c(0xc9)]
),
console[_0x56484c(0xad)](
_0x103010[_0x56484c(0xde)][_0x56484c(0xc7)] +
"\x0a\x0a" +
_0x103010[_0x56484c(0xde)][_0x56484c(0xc9)]
))
: (console[_0x56484c(0xad)](_0x103010),
_0x5cbb01["reply"](
_0x56484c(0x85) + _0x103010[_0x56484c(0xcf)]
));
}
break;
case "sc":
case _0x56484c(0xb0):
case _0x56484c(0xac):
_0x5cbb01[_0x56484c(0xbc)](_0x56484c(0xa6));
break;
default: {
if (_0x4c9947 && _0x52ffca[_0x56484c(0xdd)]() != undefined) {
if (_0x5cbb01[_0x56484c(0x98)]["endsWith"](_0x56484c(0xcc))) return;
if (_0x5cbb01["isBaileys"]) return;
if (!_0x52ffca[_0x56484c(0xdd)]()) return;
if (_0x1b1e36 || (_0x4c9947 && !_0x5cbb01[_0x56484c(0xdb)]))
console[_0x56484c(0xad)](
chalk["black"](chalk[_0x56484c(0xb1)](_0x56484c(0xa5))),
_0x3d805d(_0x56484c(0xc3), _0x56484c(0x92)),
_0x3d805d("" + _0x51fe27 + _0x158081, _0x56484c(0x92)),
_0x3d805d(_0x56484c(0xe2), "turquoise")
);
else
(_0x1b1e36 || (_0x4c9947 && _0x5cbb01[_0x56484c(0xdb)])) &&
console["log"](
chalk[_0x56484c(0x95)](chalk["bgRed"](_0x56484c(0xa5))),
_0x3d805d(_0x56484c(0xc3), "turquoise"),
_0x3d805d("" + _0x51fe27 + _0x158081, _0x56484c(0x92)),
_0x3d805d(_0x56484c(0xe2), _0x56484c(0x92))
);
}
}
}
} catch (_0x26c12e) {
_0x5cbb01[_0x56484c(0xbc)](util["format"](_0x26c12e));
}
};
function _0x2987(_0x1b212f, _0x1b4209) {
const _0x4195ae = _0x4195();
return (
(_0x2987 = function (_0x2987da, _0x112b9d) {
_0x2987da = _0x2987da - 0x7a;
let _0x5b6948 = _0x4195ae[_0x2987da];
return _0x5b6948;
}),
_0x2987(_0x1b212f, _0x1b4209)
);
}
let file = require["resolve"](__filename);
function _0x4195() {
const _0x56340b = [
"images",
"2585eThCnN",
"shift",
"choices",
"From",
"blueBright",
"completions",
"44860fyTTHC",
"dalle",
"reply",
"join",
"groupMetadata",
"*Whatsapp\x20Ai\x20Bot*\x0a\x20\x20\x20\x20\x20\x20\x20\x20\x20\x20\x20\x20\x0a*(ChatGPT)*\x0aCmd:\x20",
"text",
"bgWhite",
"unwatchFile",
"command",
"8BUyGEz",
"gpt-3.5-turbo",
"./key.json",
"status",
"messageContextInfo",
"data",
"selectedButtonId",
"split",
"broadcast",
"\x20Wooden\x20house\x20on\x20snow\x20mountain",
"listResponseMessage",
"message",
"user",
"chalk",
"decodeJid",
"ai\x20\x0aAsk\x20anything\x20to\x20AI.\x0a\x0a*(DALL-E)*\x0aCmd:\x20",
"substring",
"keyword",
"startsWith",
"templateButtonReplyMessage",
"...",
"start",
"exports",
"isGroup",
"help",
"toLowerCase",
"response",
"Apikey\x20has\x20not\x20been\x20filled\x0a\x0aPlease\x20fill\x20in\x20the\x20apikey\x20first\x20in\x20the\x20key.json\x20file\x0a\x0aApikey\x20can\x20be\x20made\x20on\x20the\x20website:\x20https://beta.openai.com/account/api-keys",
"yellow",
"extendedTextMessage",
"not\x20available",
"sender",
"image",
"trim",
"viewOnceMessageV2",
"10797493pzkLpt",
"magenta",
"Chat\x20with\x20AI.\x0a\x0aExample:\x0a",
"imageMessage",
"img",
"chatgpt",
"mtype",
"slice",
"sc\x0aDisplays\x20the\x20source\x20code\x20of\x20the\x20bot\x20used",
"dall-e-2",
"Sorry,\x20there\x20seems\x20to\x20be\x20an\x20error\x20:",
"2MxaoUW",
"generate",
"create",
"ai-img",
"[\x20LOGS\x20]",
"openai",
"conversation",
"match",
"Apikey\x20has\x20not\x20been\x20filled\x0a\x0aPlease\x20fill\x20in\x20the\x20apikey\x20first\x20in\x20the\x20key.json\x20file\x0a\x0aThe\x20api\x20key\x20can\x20be\x20generated\x20on\x20the\x20website:\x20https://beta.openai.com/account/api-keys",
"7264615lEOnQU",
"watchFile",
"indexOf",
"turquoise",
"subject",
"@whiskeysockets/baileys",
"black",
"3001060tHBjGT",
"content",
"chat",
"caption",
"6oxPgxi",
"singleSelectReply",
"3242082SXqfbA",
"48932wGUKuB",
"replace",
"@s.whatsapp.net",
"string",
"green",
"img\x0aCreate\x20an\x20image\x20from\x20text\x0a\x0a*(Source\x20Code\x20Bot)*\x0aCmd:\x20",
"videoMessage",
"info",
"[\x20ERROR\x20]",
"This\x20bot\x20uses\x20a\x20script\x20from\x20https://github.com/yesbhautik/Whatsapp-Ai-BOT",
"catch",
"ISI_APIKEY_OPENAI_DISINI",
"selectedRowId",
"keyopenai",
"buttonsResponseMessage",
"scbot",
"log",
"6110217QDuKKY",
"redBright",
"script",
"bgRed",
"cache",
];
_0x4195 = function () {
return _0x56340b;
};
return _0x4195();
}
fs[_0x39e3e6(0x90)](file, () => {
const _0x1476e2 = _0x39e3e6;
fs[_0x1476e2(0xc2)](file),
console[_0x1476e2(0xad)](chalk[_0x1476e2(0xaf)]("Update\x20" + __filename)),
delete require[_0x1476e2(0xb2)][file],
require(file);
});
gitextract_6j4livl0/ ├── .deepsource.toml ├── .github/ │ ├── CODEOWNERS │ ├── CODE_OF_CONDUCT.md │ ├── FUNDING.yml │ ├── ISSUE_TEMPLATE/ │ │ ├── bug_report.md │ │ └── feature_request.md │ ├── PULL_REQUEST_TEMPLATE.md │ └── SECURITY.md ├── .gitignore ├── Docs/ │ └── Deployment/ │ ├── Android.md │ ├── Linux.md │ ├── MacOS.md │ └── Windows.md ├── LICENSE ├── README.md ├── example.key.json ├── index.js ├── package.json └── yesbhautikai.js
SYMBOL INDEX (6 symbols across 2 files)
FILE: index.js
function _0x4f7b (line 1) | function _0x4f7b(_0x260f88, _0x270b96) {
function smsg (line 71) | function smsg(_0x1ac937, _0x3e6a42, _0xd50a88) {
function _0x5ea8 (line 253) | function _0x5ea8() {
function startHisoka (line 408) | async function startHisoka() {
FILE: yesbhautikai.js
function _0x2987 (line 280) | function _0x2987(_0x1b212f, _0x1b4209) {
function _0x4195 (line 292) | function _0x4195() {
Condensed preview — 19 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (80K chars).
[
{
"path": ".deepsource.toml",
"chars": 90,
"preview": "version = 1\n\n[[analyzers]]\nname = \"python\"\n\n [analyzers.meta]\n runtime_version = \"3.x.x\""
},
{
"path": ".github/CODEOWNERS",
"chars": 1,
"preview": "\n"
},
{
"path": ".github/CODE_OF_CONDUCT.md",
"chars": 3214,
"preview": "# Code of Conduct\n\n## Our Pledge\n\nIn the interest of fostering an open and welcoming environment, we as contributors and"
},
{
"path": ".github/FUNDING.yml",
"chars": 138,
"preview": "github: yesbhautik\npatreon: \nopen_collective: \nko_fi: \ntidelift: \ncommunity_bridge: \nliberapay: \nissuehunt: \notechie: \nl"
},
{
"path": ".github/ISSUE_TEMPLATE/bug_report.md",
"chars": 834,
"preview": "---\nname: Bug report\nabout: Create a report to help us improve\ntitle: ''\nlabels: ''\nassignees: ''\n\n---\n\n**Describe the b"
},
{
"path": ".github/ISSUE_TEMPLATE/feature_request.md",
"chars": 595,
"preview": "---\nname: Feature request\nabout: Suggest an idea for this project\ntitle: ''\nlabels: ''\nassignees: ''\n\n---\n\n**Is your fea"
},
{
"path": ".github/PULL_REQUEST_TEMPLATE.md",
"chars": 1,
"preview": "\n"
},
{
"path": ".github/SECURITY.md",
"chars": 1375,
"preview": "# Security Policy\n\n## Supported Versions\n\nUse this section to tell people about which versions of your project are curre"
},
{
"path": ".gitignore",
"chars": 178,
"preview": "# ignore node modules\nnode_modules/\n\n# ignore /yesbhautik/* excluding convo.txt file\n/yesbhautik/*\n!/yesbhautik/convo.tx"
},
{
"path": "Docs/Deployment/Android.md",
"chars": 799,
"preview": "### Deploy on Android/Termux<br>\n1. Install Termux App: [Click link to download](https://f-droid.org/en/packages/com.ter"
},
{
"path": "Docs/Deployment/Linux.md",
"chars": 827,
"preview": "### Deploy on Linux</br>\n1. Install NodeJS, nano and Git Bash.\n\n ```bash\n sudo apt -y remove nodejs\n curl"
},
{
"path": "Docs/Deployment/MacOS.md",
"chars": 828,
"preview": "### Deploy on MacOS</br>\n1. Install NodeJS, nano and Git Bash.\n\n ```bash\n sudo apt -y remove nodejs\n curl"
},
{
"path": "Docs/Deployment/Windows.md",
"chars": 811,
"preview": "### Deploy on Windows</br>\n1. Install NodeJS and Git Bash.\n - NodeJS https://nodejs.org/en/download/ <br>\n - G"
},
{
"path": "LICENSE",
"chars": 20845,
"preview": "Attribution-NonCommercial-ShareAlike 4.0 International\n\n================================================================"
},
{
"path": "README.md",
"chars": 3883,
"preview": "# 💬 Whatsapp-Ai-BOT 🤖\nA cutting-edge AI chatbot for WhatsApp 🤖💬 built using NodeJS technology and powered by OpenAI. Thi"
},
{
"path": "example.key.json",
"chars": 169,
"preview": "{\n \"keyopenai\": \"OPENAI_API_KEY\",\n \"donate\": \"Support WhatsApp-Ai-BOT Project and in return, get exclusive access to P"
},
{
"path": "index.js",
"chars": 25842,
"preview": "function _0x4f7b(_0x260f88, _0x270b96) {\n const _0x5ea8eb = _0x5ea8();\n return (\n (_0x4f7b = function (_0x4f7b5e, _"
},
{
"path": "package.json",
"chars": 1280,
"preview": "{\n \"name\": \"Whatsapp-Ai-BOT\",\n \"version\": \"2.1.0\",\n \"description\": \"Whatsapp Ai Bot, developed BY Bhautik Bavadiya wi"
},
{
"path": "yesbhautikai.js",
"chars": 13856,
"preview": "const _0x39e3e6 = _0x2987;\n(function (_0x34eda4, _0x4ab326) {\n const _0x4ef61a = _0x2987,\n _0x5333ec = _0x34eda4();\n"
}
]
About this extraction
This page contains the full source code of the yesbhautik/Whatsapp-Ai-BOT GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 19 files (73.8 KB), approximately 25.8k tokens, and a symbol index with 6 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.