How to program auto youtube live chat reply using AI

Posted on by Habibie

To program an auto-reply system for YouTube Live Chat using AI, follow these steps:

1. Set Up YouTube Live Chat API

You need access to the YouTube Data API v3 to retrieve live chat messages.

Steps:

  • Go to Google Cloud Console
  • Create a project and enable YouTube Data API v3
  • Create OAuth 2.0 credentials (or API Key for testing)
  • Obtain the Live Chat ID for the active stream

Get Live Chat ID:

Use the following API request:

https://www.googleapis.com/youtube/v3/liveBroadcasts?part=snippet&broadcastStatus=active&broadcastType=all&key=YOUR_API_KEY

Extract liveChatId from the response.

Fetch Live Chat Messages:

Make a request to:

https://www.googleapis.com/youtube/v3/liveChat/messages?liveChatId=YOUR_LIVE_CHAT_ID&part=snippet,authorDetails&key=YOUR_API_KEY

2. Process Messages Using AI

For AI-based auto-replies, you can use:

  • OpenAI GPT (ChatGPT API)
  • Local NLP models (like spaCy, Transformers)
  • Google Gemini API

Example with OpenAI:

import openai

def generate_reply(message):
    response = openai.ChatCompletion.create(
        model="gpt-4",
        messages=[{"role": "system", "content": "You are a helpful chatbot."},
                  {"role": "user", "content": message}]
    )
    return response["choices"][0]["message"]["content"]

3. Send Auto Replies to YouTube Live Chat

Use the liveChat/messages.insert endpoint:

https://www.googleapis.com/youtube/v3/liveChat/messages?part=snippet&key=YOUR_API_KEY

POST request with:

{
  "snippet": {
    "liveChatId": "YOUR_LIVE_CHAT_ID",
    "type": "textMessageEvent",
    "textMessageDetails": {
      "messageText": "Your auto-reply message here"
    }
  }
}

4. Automate the Process

Create a Python script that:

  1. Fetches live chat messages
  2. Uses AI to generate responses
  3. Sends replies automatically

Example:

import requests
import openai
import time

API_KEY = "YOUR_YOUTUBE_API_KEY"
LIVE_CHAT_ID = "YOUR_LIVE_CHAT_ID"

def get_live_chat_messages():
    url = f"https://www.googleapis.com/youtube/v3/liveChat/messages?liveChatId={LIVE_CHAT_ID}&part=snippet,authorDetails&key={API_KEY}"
    response = requests.get(url)
    return response.json().get("items", [])

def send_message(reply):
    url = f"https://www.googleapis.com/youtube/v3/liveChat/messages?part=snippet&key={API_KEY}"
    data = {
        "snippet": {
            "liveChatId": LIVE_CHAT_ID,
            "type": "textMessageEvent",
            "textMessageDetails": {
                "messageText": reply
            }
        }
    }
    requests.post(url, json=data)

while True:
    messages = get_live_chat_messages()
    for msg in messages:
        user_msg = msg["snippet"]["displayMessage"]
        reply = generate_reply(user_msg)
        send_message(reply)
    time.sleep(5)

5. Run the Bot on a Server

  • Deploy the script on a VPS or cloud service (Google Cloud, AWS, etc.).
  • Use cron jobs or PM2 (for Node.js) to keep it running.

6. Optional Enhancements

  • Use Firebase Firestore to track replied messages.
  • Add moderation (e.g., ignore spam).
  • Implement custom AI behavior.
Post Views: 199