Application programming interfaces, or APIs, are now a necessary component of any developer’s toolkit. Python makes working with APIs incredibly easy and powerful, whether you’re using OpenAI to generate content or Telegram to send automated messages.
In this blog, we’ll demonstrate how to use Python to integrate with the Telegram Bot API and OpenAI’s API. This post contains everything you need to automate a chatbot or create an AI-powered assistant.
What You’ll Learn:
- How do APIs operate and what are they?
- How to use Python to submit queries and get answers
- How to create a basic bot on Telegram
- How to use the GPT model from OpenAI into your projects
- An example project that combines the two APIs
What is an API?
Your app can communicate with another app or service over an API. Consider it as a bridge that connects your code to OpenAI or Telegram. The majority of APIs return data in JSON format and employ HTTP requests.
Prerequisites
Before we begin, ensure you have the following:
- Python 3.8+
requestsorhttpxlibrary- Telegram bot token (via @BotFather)
- OpenAI API key (get it from platform.openai.com)
Install required libraries:
pip install requests
Part 1: Create a Telegram Bot
- Go to @BotFather on Telegram and create a new bot.
- Save the token it provides — you’ll need it for your code.
Python Script to Send Messages:
import requests
TOKEN = 'YOUR_TELEGRAM_BOT_TOKEN'
CHAT_ID = 'YOUR_CHAT_ID'
MESSAGE = 'Hello from my Python bot!'
url = f"https://api.telegram.org/bot{TOKEN}/sendMessage"
payload = {
"chat_id": CHAT_ID,
"text": MESSAGE
}
response = requests.post(url, data=payload)
print(response.json())
You can get your chat ID by sending a message to your bot and visiting:https://api.telegram.org/bot<YOUR_TOKEN>/getUpdates
Part 2: Connect to OpenAI API
Get your API key from OpenAI Dashboard.
Python Script to Generate a Response:
import openai
openai.api_key = "YOUR_OPENAI_API_KEY"
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "user", "content": "Write a short poem about Python."}
]
)
print(response.choices[0].message['content'])
Combine Telegram and OpenAI: A Simple Chatbot
Let’s connect everything together. When a user sends a message on Telegram, your bot will use OpenAI to generate a response and send it back.
import requests
import openai
import time
TELEGRAM_TOKEN = 'YOUR_TELEGRAM_BOT_TOKEN'
OPENAI_KEY = 'YOUR_OPENAI_API_KEY'
URL = f"https://api.telegram.org/bot{TELEGRAM_TOKEN}/"
openai.api_key = OPENAI_KEY
def get_updates(offset=None):
response = requests.get(URL + "getUpdates", params={"offset": offset})
return response.json()["result"]
def send_message(chat_id, text):
requests.post(URL + "sendMessage", data={"chat_id": chat_id, "text": text})
def chatgpt_response(prompt):
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": prompt}]
)
return response.choices[0].message['content']
def main():
offset = None
while True:
updates = get_updates(offset)
for update in updates:
message = update["message"]
chat_id = message["chat"]["id"]
text = message.get("text")
if text:
reply = chatgpt_response(text)
send_message(chat_id, reply)
offset = update["update_id"] + 1
time.sleep(2)
main()
Bonus: What You Can Build Using These APIs
- AI-Powered Telegram Bot (personal assistant, study bot, or poem generator)
- Stock Market Alerts using external APIs + Telegram
- Auto Content Creator using OpenAI and send it to Telegram
- Feedback Collection Bot with AI-powered sentiment analysis
Final Thoughts
Python makes working with APIs enjoyable and practical. Using Telegram and OpenAI together can help you improve your Python skills, whether you’re communicating with AI or updating users in real time..
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