Telegram Gemini Chatbot

A simple Telegram chatbot powered by Google's Gemini API and integrated with MongoDB for user management and chat history tracking.

Features

• User Registration: New users are welcomed and registered on first interaction.
• Phone Number Collection: The bot can request and store the user's phone number.
• Chat History: Tracks the user's chat history in MongoDB.
• Gemini-Powered Responses: The bot uses Google's Gemini API to generate responses based on the user's messages.
• Polling: The bot continuously polls for new messages from users.

Prerequisites

Before you run the bot, make sure to have the following dependencies installed:

1. Python 3.7+
2. MongoDB instance running
3. Telegram Bot API token
4. Gemini API key

##Installation

1. Clone this repository to your local machine:

git clone <repository_url>

2.Navigate to the project directory:

cd <project_directory>

3.Install required dependencies:

pip install -r requirements.txt

4.Create a .env file in the project root directory with the following contents:

TELEGRAM_API_KEY=<your_telegram_api_key>
GEMINI_API_KEY=<your_gemini_api_key>
MONGO_URI=<your_mongodb_connection_string>

Replace <your_telegram_api_key>, <your_gemini_api_key>, and <your_mongodb_connection_string> with your actual credentials.

5.Run the bot:

python main.py

Libraries Used

• python-telegram-bot: For handling Telegram bot functionality.
• google-generativeai: For interacting with the Gemini API.
• pymongo: For MongoDB database interaction.
• dotenv: For loading environment variables from the .env file.

How It Works

1.Start Command (/start):

• When a user first interacts with the bot, they are registered in the MongoDB database.
• The bot sends a prompt to the user to share their phone number via a Telegram button.

2.Phone Number Collection:

• The bot requests the user's phone number and stores it in the database if provided.
• If the user has already shared their phone number, the bot updates the entry in the database.

3.Gemini-Powered Chat:

• The bot sends any user message to the Gemini API and receives a response, which it then sends back to the user.
• User messages and chatbot responses are saved in the MongoDB database under chat_history.

MongoDB Collections

• users: Stores user data like chat_id, first_name, username, and phone_number.
• chat_history: Stores the chat history with fields like chat_id, user_msg, response, and timestamp.