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⚠️ This repo is just a clone of YukkiMusicBot. All credits goes to devs of YukkiMusicBot.

ICON

SiestaXMusic

SiestaXMusic is a Powerful Telegram Music+Video Bot written in Python using Pyrogram and Py-Tgcalls by which you can stream songs, video and even live streams in your group calls via various sources.

  • Youtube, Soundcloud, Apple Music, Spotify, Resso and Telegram Audios & Videos support.
  • Written from scratch, making it stable and less crashes.
  • Attractive thumbnails, fonts and images, making experience more user-friendly and interactive.
  • Loop, Shuffle, Specific Skip, Playlists etc support
  • Global, Users, Chats Top 10 played tracks stats
  • Multi-Language support

🔗 An Overview

Here's a brief high-level overview of the SiestaXMusic:

This project is based on Pyrogram and Py-Tgcalls . Pyrogram is a modern, elegant and asynchronous MTProto API framework.

  • For database, SiestaXMusic uses the MongoDB to store data and keys. MongoDB is a document database with the scalability and flexibility that you want with the querying and indexing that you need.
  • Project uses the bs4 web scrapping for getting many platform details. Beautiful Soup is a Python library for pulling data out of HTML and XML files.
  • The project uses the font Poppins as its main font for the thumbnails.
  • The projects uses attractive images and icons which you can get in assets directory.

For more information on the technologies that power the SiestaXMusic, check out the Docs.

⚡️ Getting Started

Before deploying SiestaXMusic , please have a look towards all available config vars , also please check all available commands of the project.

If you want to start working with SiestaXMusic you can either fork or import repo . The official documentation site contains a lot of information. The best place to start is from the deployment section. If you'd like to talk to us, join us on our Telegram Group

🖇 Prerequisites

In order to avoid conflicts in your project, you must have/installed

🖇 Generating Pyrogram String Session

🖇 Heroku Deployment

Click the button below to deploy SiestaXMusic on Heroku!

How to Deploy To Heroku? Watch Tutorial

Click on buttons below to expand and detailed explanation process. !

Detailed Heroku Depoyment Process »

🚀 Deploy Process

  • Click on the deploy button above and login to your heroku account .
  • Fill your values there.
  • If you don't know how to get config vars : Please refer here
  • Make sure you fill correct values.
  • Click on Deploy button.
  • Please wait till the app gets deployed on heroku. Deploying can take upto 2-3 mins..
  • When your app is successfully deployed, click on Manage App button.

🚀 Booting Process

  • Search for Resources Tab inside your app. ( Check Image for more details)
  • Click on the Pencil Icon under resources section.
  • Turn on the switch present there near pencil icon.
  • Congrats your Music Bot is now Booting.

🚀 Checking Logs

  • After Turning on your booting .
  • Click on the More Button present at top right corner .
  • Click on the View Logs button from the drop down menu.
  • You check your logs there!
  • Click on save button there at bottom to save your logs and forward it to us on @TechZBots_Support if you face any problem

🖇 VPS Deployment

Checkout Docs for Detailed Explanation on VPS Deploy

shikhar@MacBook~ $ git clone https://github.com/TechShreyash/SiestaXMusic
shikhar@MacBook~ $ cd SiestaXMusic
shikhar@MacBook~ $ sudo bash setup

Setup will install each and every requirement, nodejs and pip packages automatically. After successfull installation of requirements , setup will ask you to input your vars. Please input your vars correctly.

shikhar@MacBook~ $ bash start

Not Getting VPS Method? Watch Tutorial

🏷 Support

Reach out to the maintainer at one of the following places:

🎗 Project assistance

If you want to say thank you or/and support active development of SiestaXMusic:

👨🏻‍💻 Authors & contributors

The original setup of this repository is by Team Yukki.

For a full list of all authors and contributors, see the contributors page.

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  • Python 98.9%
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