🔥 [GUIDE] How to Build an AI-Powered Telegram Bot Using Python & OpenAI API

[BlueBird]

How to Build an AI-Powered Telegram Bot Using Python & OpenAI API

AI chatbots are becoming increasingly popular for automation, customer support, and cybersecurity. In this guide, I'll show you how to create a Telegram bot using Python, connect it to OpenAI's GPT-4 API, and deploy it on a server for 24/7 operation.

What this guide covers:
Setting up a Telegram bot with Python
Connecting it to OpenAI’s GPT-4 API
Deploying the bot on a VPS for continuous operation
Expanding features with web scraping, automation, and security

---

Step 1: Creating a Telegram Bot​

1. Open Telegram and search for **@BotFather**
2. Use the command:

/newbot

3. Choose a bot name and a unique username
4. Copy the API token provided by BotFather (you'll need it later)

---

Step 2: Installing Python and Dependencies​

Install the necessary libraries:

pip install python-telegram-bot openai requests

Create a new file **bot.py** and import the required libraries:

import logging
import openai
from telegram import Update
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters, CallbackContext

openai.api_key = "YOUR_OPENAI_API_KEY"

logging.basicConfig(level=logging.INFO)

---

Step 3: Writing the AI-Powered Response Handler​

Now, let's add the function that processes user messages and generates AI-powered responses:

def handle_message(update: Update, context: CallbackContext):
user_text = update.message.text
response = openai.ChatCompletion.create(
model="gpt-4",
messages=[{"role": "user", "content": user_text}]
)
update.message.reply_text(response["choices"][0]["message"]["content"])

---

Step 4: Connecting the Bot to Telegram​

Now, add the main function to run the bot:

def main():
updater = Updater("YOUR_TELEGRAM_BOT_TOKEN", use_context=True)
dp = updater.dispatcher
dp.add_handler(MessageHandler(Filters.text & ~Filters.command, handle_message))
updater.start_polling()
updater.idle()

if __name__ == "__main__":
main()

Run the bot with:

python bot.py

---

Step 5: Deploying the Bot on a VPS (24/7 Uptime)​

To keep the bot running continuously, deploy it on a VPS like DigitalOcean, Linode, or Hetzner.

1. Install Python and required libraries:

sudo apt update && sudo apt install python3-pip
pip install python-telegram-bot openai requests

2. Run the bot in the background:

nohup python3 bot.py &

3. Use **screen** or **systemd** for better stability.

---

Step 6: Expanding Features (Web Scraping & Automation)​

Scrape News & Summarize with AI:

import requests
from bs4 import BeautifulSoup

def get_latest_news():
url = "https://news.ycombinator.com/"
soup = BeautifulSoup(requests.get(url).content, "html.parser")
headlines = [a.text for a in soup.select(".titlelink")[:5]]
return "\n".join(headlines)

Now, integrate this function into the bot:

def news(update: Update, context: CallbackContext):
update.message.reply_text(get_latest_news())

dp.add_handler(CommandHandler("news", news))

Now users can type **/news** to get AI-processed news updates.

---

Security Considerations​

**Protect Your API Key:**
- Never hardcode API keys in your script.
- Store keys in a `.env` file and load them using `dotenv`.

**Rate Limit Requests:**
- Prevent abuse by limiting response length:

if len(user_text) > 500:
update.message.reply_text("Message too long!")
return

---

Conclusion​

Now you have a fully functional AI-powered Telegram bot with GPT-4 support. You can expand it with automation, data scraping, and security features.

What AI features would you like to add? Share your ideas below!

 

[Idman007]

How to Build an AI-Powered Telegram Bot Using Python & OpenAI API

AI chatbots are becoming increasingly popular for automation, customer support, and cybersecurity. In this guide, I'll show you how to create a Telegram bot using Python, connect it to OpenAI's GPT-4 API, and deploy it on a server for 24/7 operation.

What this guide covers:
Setting up a Telegram bot with Python
Connecting it to OpenAI’s GPT-4 API
Deploying the bot on a VPS for continuous operation
Expanding features with web scraping, automation, and security

---

Step 1: Creating a Telegram Bot​

1. Open Telegram and search for **@BotFather**
2. Use the command:

3. Choose a bot name and a unique username
4. Copy the API token provided by BotFather (you'll need it later)

---

Step 2: Installing Python and Dependencies​

Install the necessary libraries:


Create a new file **bot.py** and import the required libraries:

---

Step 3: Writing the AI-Powered Response Handler​

Now, let's add the function that processes user messages and generates AI-powered responses:

---

Step 4: Connecting the Bot to Telegram​

Now, add the main function to run the bot:



Run the bot with:

---

Step 5: Deploying the Bot on a VPS (24/7 Uptime)​

To keep the bot running continuously, deploy it on a VPS like DigitalOcean, Linode, or Hetzner.

1. Install Python and required libraries:


2. Run the bot in the background:


3. Use **screen** or **systemd** for better stability.

---

Step 6: Expanding Features (Web Scraping & Automation)​

Scrape News & Summarize with AI:



Now, integrate this function into the bot:



Now users can type **/news** to get AI-processed news updates.

---

Security Considerations​

**Protect Your API Key:**
- Never hardcode API keys in your script.
- Store keys in a `.env` file and load them using `dotenv`.

**Rate Limit Requests:**
- Prevent abuse by limiting response length:

---

Conclusion​

Now you have a fully functional AI-powered Telegram bot with GPT-4 support. You can expand it with automation, data scraping, and security features.

What AI features would you like to add? Share your ideas below!