MemCast Telegram Bot

MemCast is a versatile Telegram bot offering users a range of services, including daily meditation prompts, AI chatbot interactions, and media downloads. To access these features, users are encouraged to join our Telegram channel.

Features

• Daily Meditation Prompts: Receive bilingual (English and Persian) meditation prompts to enhance mindfulness.
• AI Chatbot Interaction: Engage in conversations with an AI-powered chatbot for various inquiries.
• Media Downloads: Access and download a selection of media content.
• Channel Membership Verification: Ensures users are members of the designated Telegram channel to utilize services.

Commands

• /start - Start the bot // شروع ربات
• /meditate - Receive a meditation prompt // دریافت مدیتیشن
• /chat - Chat with the AI bot // گفتگو با ربات
• /download - Access media downloads // دانلود رسانه
• /help - Get help // دریافت راهنما
• /feedback - Send feedback // ارسال بازخورد

Setup and Installation

Prerequisites

• Python 3.8+
• A Telegram bot token (create one via BotFather)
• Groq API key

Installation

1. Clone the Repository:

   git clone https://github.com/yourusername/MemCast.git
   cd MemCast

2. Create a Virtual Environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies:

   pip install -r requirements.txt

4. Configure Environment Variables:

   Create a .env file in the project root directory and add the following:

   TELEGRAM_TOKEN=your_telegram_bot_token
   GROQ_API_KEY=your_groq_api_key
   CHANNEL_USERNAME=your_channel_username_without_@

5. Run the Bot:

   python bot.py

Usage

• Start the Bot: Send /start to initiate interaction.
• Begin Meditation: Send /meditate to receive a meditation prompt.
• Chat with AI: Send /chat to engage with the AI chatbot.
• Download Media: Send /download to access available media.
• Get Help: Send /help to see available commands.
• Send Feedback: Send /feedback followed by your message to provide feedback.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request.

License

This project is licensed under the MIT License.