Telegram Integration
Build on Telethon library for Telegram API interaction, providing seamless bot connectivity and message handling.
pro
A Python-based Telegram bot application with multimedia and voice call capabilities.
Get StartedOverview
This project appears to be a feature-rich Telegram bot built with Python, supporting voice calls, multimedia processing, translation services, and various interactive features. The main application code is compiled/obfuscated, suggesting this may be a production or proprietary bot.
Key Features
Voice Calls
Supports Telegram voice calls via py-tgcalls, enabling real-time voice communication.
Multimedia Processing
Handles audio/video with FFmpeg and mutagen for robust media manipulation.
Translation Services
Multiple translation backends including mtranslate and gpytranslate for accurate language conversion.
AI Integration
Google Generative AI and G4F support enable intelligent, context-aware responses.
Text-to-Speech
GTS integration for voice synthesis, converting text to natural-sounding speech.
QR Code Generation
Built-in QR code creation capabilities for easy sharing and linking.
Database
SQite with async support via aiosqlite, ensuring fast and reliable data storage.
Scheduling
Automated tasks with aiocron for scheduled operations and maintenance.
Tech Stack
Core
Python 3.11
Teleton
SQite3
Audio/Video
FFmpeg
mutagen
py-tgcalls
AI / ML
Google GenAI
G4F
GTTS
Translation
mtranslate
gpytranslate
Utilities
aiohttp
requests
emoji
pytz
Quick Start
Using Docker
docker build -t pro-bot .
docker run pro-botLocal Setup
pip install -r requirements.txt
python main.pyArchitecture
The application is containerized with Docker and includes:
SQite database with rebuild for compatibility
FFmpeg for multimedia processing
Development tools (gcc, make, g++) for native extensions
Session management (
sessions_919926604721.session)
Note: The main application code is compiled/marshalled, making the exact functionalty not directly visible from source code inspection.