This project demonstrates how to create a Telegram chatbot using ChatGPT, Flask, and EC2. The following technologies and services are used:

• Ngrok and Flask as a server.
• Telegram BOT Token obtained from "BotFather".
• ChatGPT API for generating responses.
• Flask App as an API for the Request/Response model.
• AWS EC2 for deployment (24/7 running).

1. Create free accounts on OpenAI, AWS, and Ngrok.
2. Create a Flask App.
3. Create an EC2 instance on AWS.
4. Git clone this repository on the EC2 instance.
5. Create a Telegram bot using "BotFather" and obtain the API Token.
6. Use the TELEGRAM_BOT_TOKEN and OPENAI_API_KEY in your code (avoid using static values, use global variables).
7. Run the script on the EC2 instance.
8. Open a second terminal and use Ngrok to create a tunnel on port 5000.
9. Set up a webhook for Telegram verification.

To use this project:

1. Clone the repository.

2. Open a terminal in the working directory.

3. Run the following command to install the required dependencies:

   pip install -r requirements.txt
   

4. telegram_bot.py is the Flask API that handles the request/response of the chatbot.

5. Run the script with the following command:

   python3 telegram_bot.py
   

6. To set up the webhook, use the following format:

   https://api.telegram.org/bot<Your Bot Token>/setWebhook?url=<URL of App>
   

For a more detailed explanation of this project, refer to the tutorial on the Machine Learning Hub YouTube channel.

If you find this project helpful, consider supporting me:

• Buy me a Coffee☕
• Donate via PayPal (It will inspire me to work on more projects)

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