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Morteza-Abbaszadeh / repository
This project is a Telegram bot that allows users to send voice messages, which are then processed and identified using the Shazam API. The bot returns the song title, artist, and a direct URL to listen to the identified track. It is built using Python’s telebot library and asynchronous handling with asyncio.
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This project features a Telegram bot that identifies songs from voice messages using the Shazam API. When a user sends a voice message, the bot processes it to determine the song's title and artist, and provides a link to listen to the song.
pyTelegramBotAPI, shazamio, asynciogit clone https://github.com/your-username/Telegram-Bot-to-Identify-Songs-using-Shazam-API.git
cd Telegram-Bot-to-Identify-Songs-using-Shazam-API
pip install pyTelegramBotAPI shazamio
Set up your bot token:
Open the bot.py file and replace 'your_bot_token' with your actual Telegram bot token.
TELEGRAM_TOKEN = 'your_bot_token'
python bot.py
Start interacting with the bot:
If you want to contribute to this project, please fork the repository, make changes, and submit a pull request.
This project is licensed under the MIT License.
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MaxymChyncha /
This project demonstrates a comprehensive web development and bot integration solution using Django and Django REST Framework, alongside data parsing using BeautifulSoup. The project is divided into three main parts: Web Application Development, Telegram Bot Development, and Data Parsing.
31/100 healthLanguage: Python
License: MIT License
Default branch: main
Created: 9/17/2024
Updated: 12/11/2025
Status: Active
Repository type: Original