TelegramGPT

Simple Telegram bot tied with ChatGPT language model.

Installation

1. Clone this repository: git clone https://github.com/yeralin/TelegramGPT.git
2. Install the required dependencies (required python version >3.7): pip install -r requirements.txt
3. Get OpenAI API key (OPENAI_API_KEY) and a Telegram bot token (TELEGRAM_TOKEN)
4. Create a .env file in the root directory of the project and add the following:

OPENAI_API_KEY=<your-openai-api-key>
TELEGRAM_TOKEN=<your-telegram-bot-token>

Make sure to replace and with your actual API key and token.

Usage

To start the bot, run: python bot.py

Once the bot is running, you can interact with it by sending messages to it on Telegram.

Available commands:

• /system <system-message> - Sets the system message. If no message is provided, returns the current system message.
• All other messages will be interpreted as messages to the bot.

How to get OpenAI API key

1. Go to the OpenAI website (https://openai.com/) and click on the "Get started for free" button.
2. Create an account by filling out the registration form.
3. Once you've created an account, you'll need to add a payment method to your account to get access to the API.
4. Once you have added a payment method, go to the "API Keys" tab in your OpenAI account dashboard.
5. Click on the "Create API Key" button and give your key a name.
6. Copy the API key that is generated and store it somewhere safe.
7. Store the API key under .env file as OPENAI_API_KEY=<your-openai-api-key>

OpenAI offers a free trial with $200 in credits, so you won't be charged if you stay within that limit.

How to get Telegram Bot token

1. Open the Telegram app and search for the BotFather bot.
2. Start a chat with the BotFather and type /newbot to create a new bot.
3. Follow the instructions from BotFather to provide a name and username for your bot.
4. Once you have successfully created the bot, BotFather will provide you with a token.
5. Store the token under .env file as TELEGRAM_TOKEN=<your-telegram-bot-token>

License

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