PixelPulse

A telegram bot made integrating it with Google AI studio's Gemini API

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Welcome to the repository for your Telegram Bots that serves as an interface between users and the Google AI Studio Gemini API! This bot empowers users to submit queries seamlessly and obtain real-time responses from the advanced AI engine, Gemini.

🛠 Features

  • Real-time Interaction: Users can send requests via Telegram and receive dynamic responses from the Gemini AI API.
  • Efficient API Integration: The bot communicates effectively with Google AI Studio Gemini for rapid and precise data retrieval.
  • Streamlined User Experience: Easy-to-use interface built to enhance accessibility and engagement.
  • Customizable Codebase: Tailored for easy expansion, enabling addition of features like message logging, analytics, and more.

🚀 Getting Started

Follow these steps to set up and run the Telegram bot on your local machine or server.

1. Prerequisites

Before deploying the bot, ensure you have the following:

  • Python (>=3.7)
  • Telegram Bot Token: Obtain this by creating a bot with BotFather on Telegram.
  • Gemini API Credentials: Sign up and retrieve your API key from the Google AI Studio.

2. Installation

  1. Clone this repository: bash git clone https://github.com/Hackexdecodebreaker/PixelPulse.git cd PixelPulse
  2. Install the required Python packages: bash pip install -r requirements.txt

3. Configuration

Create a .env file in the root directory and add your credentials:

TELEGRAM_BOT_TOKEN=your-telegram-bot-token
GEMINI_API_KEY=your-gemini-api-key

4. Running the Bot

Launch the bot locally:

python main.py

🧩 How It Works

  • User Interaction: Users send a message to the Telegram bot.
  • Data Processing: The bot parses the request and forwards it to the Google AI Studio Gemini API.
  • API Response: The Gemini engine processes the query and sends back the response to the bot.
  • User Reply: The bot formats and delivers the AI's response to the user.

âš™ Tech Stack

  • Language: Python
  • Frameworks:
  • API: Google AI Studio Gemini
  • Deployment: Local/Cloud (compatible with Docker)

💡 Customization

Feel free to extend functionality:

  • Add response filters.
  • Implement user query analytics.
  • Integrate additional APIs or modules.

📜 License

This project is licensed under the MIT License. See the LICENSE file for details.

📫 Contact

Have questions or suggestions? Reach out via:

- Email: [email protected]

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