Telegram Bot for Post and Document Management

Description:

This Telegram Bot provides advanced features for managing posts and documents. Users can store content securely and access it through special links, making it convenient for sharing and organization. The bot supports custom auto-delete functionalities and force subscription channels, ensuring optimal engagement and security.

The bot is designed with flexible branch configurations for enhanced usability and control, offering unique features such as 2-channel and 4-channel forced subscriptions.

Features:

• Post and Document Storage: Save and manage content efficiently.
• Special Links: Generate unique links for accessing stored posts and documents.
• Custom Auto-Delete: Automatically delete messages based on customizable settings.
• Force Subscription Channels:
  • 2-channel support: Enforces users to join two channels.
  • 4-channel support: Extends enforcement to four channels for broader reach.
• User-Friendly Commands: Simple commands for managing storage, links, and settings.
• Branch-Specific Features: Advanced functionalities tailored to different operational needs.

Requirements:

• Programming Language: Python 3.8 or above.
• Libraries and Dependencies:
  • Python Telegram Bot API
  • Additional dependencies (as specified in the requirements file).
• Telegram Bot Token: Obtain from BotFather.
• Hosting Environment:
  • VPS or Cloud service for 24/7 availability.
  • Docker (optional for containerized deployment).

Instructions:

Step 1: Clone or Download the Repository
Clone the project using the command:

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Alternatively, download the ZIP file and extract its contents.

Step 2: Install Dependencies
Navigate to the project folder and install required Python libraries:

bash

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pip install -r requirements.txt

Step 3: Configure the Bot

1. Create a .env file to store your bot token and other environment variables.
2. Add the following variables:

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   BOT_TOKEN=<your-bot-token> FORCE_SUB_CHANNEL_1=<channel-username> FORCE_SUB_CHANNEL_2=<channel-username>

Step 4: Run the Bot
Execute the main bot script:

bash

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python main.py

Step 5: Deploy (Optional)

• Use Docker for containerized deployment:

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  docker-compose up -d

• Set up the bot on a VPS for continuous operation.