https://github.com/spidy20/telegram_chatgpt_bot

- Implementation of Telegram ChatGPT Bot using Python, Flask, Ngrok.
https://github.com/spidy20/telegram_chatgpt_bot

chatgpt-bot flask telegram-api telegram-bot telegram-bot-api

Last synced: about 6 hours ago
JSON representation

- Implementation of Telegram ChatGPT Bot using Python, Flask, Ngrok.

• Host: GitHub
• URL: https://github.com/spidy20/telegram_chatgpt_bot
• Owner: Spidy20
• Created: 2023-05-27T13:29:49.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-05-27T13:33:45.000Z (over 1 year ago)
• Last Synced: 2024-11-15T06:29:53.344Z (2 months ago)
• Topics: chatgpt-bot, flask, telegram-api, telegram-bot, telegram-bot-api
• Language: Python
• Homepage:
• Size: 1.01 MB
• Stars: 6
• Watchers: 1
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Create Telegram Chatbot💬 using ChatGPT, Flask, and EC2

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)

[![Python 3.8](https://img.shields.io/badge/python-3.8-blue.svg)](https://www.python.org/downloads/release/python-360/)

## [Watch the Tutorial for this Project](https://youtu.be/Fej2wb4YHes)

![YouTube Thumbnail](https://github.com/Spidy20/Telegram_Chatgpt_Bot/blob/master/yt_thumb.jpg)

## Overview

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).

## Steps

1. Create free accounts on [OpenAI](https://platform.openai.com/account/api-keys), [AWS](https://console.aws.amazon.com/), and [Ngrok](https://dashboard.ngrok.com/).

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.

## Usage

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/setWebhook?url=

    ```

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

## Screenshots



## Support

If you find this project helpful, consider supporting me:

- [Buy me a Coffee☕](https://www.buymeacoffee.com/spidy20)

- [Donate via PayPal](https://www.paypal.me/spidy1820) (It will inspire me to work on more projects)

Feel free to follow me and star⭐ this repository!