Moderate Comments on Facebook Page

Test this app for free
77
import logging
import os
from fastapi import FastAPI, HTTPException, Request
from pydantic import BaseModel
from typing import List, Optional
import requests

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

app = FastAPI()

FACEBOOK_GRAPH_API_URL = "https://graph.facebook.com/v19.0"
PAGE_ACCESS_TOKEN = os.environ['PAGE_ACCESS_TOKEN']

class Comment(BaseModel):
    message: str
    id: str

from abilities import llm_prompt

def moderate_comment(comment: str) -> bool:
    prompt = f"""Please analyze this comment for inappropriate content: '{comment}'. 
    Respond with "inappropriate" if the comment is inappropriate, otherwise response with "ok"."""
Get full code

Frequently Asked Questions

How can this Comment Moderation app benefit my business's Facebook presence?

The Comment Moderation app for Facebook Pages can significantly enhance your business's online reputation and customer engagement. By automatically filtering out inappropriate or hateful comments, it helps maintain a positive and professional atmosphere on your Facebook Page. This can lead to improved customer satisfaction, increased engagement rates, and a better overall brand image. The app works tirelessly to ensure your page remains a safe and welcoming space for genuine customer interactions.

Can this app handle high volumes of comments on popular Facebook posts?

Yes, the Comment Moderation app is designed to handle high volumes of comments efficiently. Built with FastAPI, a modern, fast web framework for building APIs, the app can process numerous comments in real-time. It uses asynchronous programming techniques to manage multiple requests concurrently, making it suitable for pages with high engagement levels. Whether you're running a viral marketing campaign or managing a popular brand page, this app can keep up with the influx of comments and maintain moderation standards.

How customizable is the moderation criteria in this app?

The Comment Moderation app offers a high degree of customization for moderation criteria. The core of the moderation logic is in the moderate_comment function, which uses a language model to analyze comments. You can easily adjust the prompt sent to the language model to refine the moderation criteria. For example, you could modify the function to detect specific types of content or adjust the sensitivity of the moderation. Here's an example of how you might customize the function:

python def moderate_comment(comment: str) -> bool: prompt = f"""Analyze this comment: '{comment}'. Respond with 'inappropriate' if it contains profanity, hate speech, or spam. Respond with 'ok' for all other comments.""" response = llm_prompt(prompt) return "inappropriate" in response.lower()

This customization allows you to tailor the moderation to your specific business needs and community guidelines.

How does the app integrate with Facebook's API?

The Comment Moderation app integrates with Facebook's Graph API to receive and process comments. It sets up a webhook endpoint that Facebook calls whenever there's a new comment on your page. The app then uses the Facebook Graph API to delete inappropriate comments. Here's a snippet showing how the app deletes a comment:

python def delete_comment(comment_id: str): url = f"{FACEBOOK_GRAPH_API_URL}/{comment_id}?access_token={PAGE_ACCESS_TOKEN}" response = requests.delete(url) if response.status_code != 200: logger.error(f"Failed to delete comment {comment_id}, response: {response.text}") raise HTTPException(status_code=500, detail="Failed to delete comment") else: logger.info(f"Successfully deleted comment {comment_id}, response: {response.text}")

This function is called whenever the moderation system flags a comment as inappropriate, ensuring swift action to maintain the quality of discussions on your page.

What industries or types of businesses can benefit most from this Comment Moderation app?

The Comment Moderation app for Facebook Pages can be particularly beneficial for several types of businesses:

  • E-commerce brands that receive high volumes of customer feedback and questions
  • Media and news organizations that often deal with controversial topics and heated discussions
  • Entertainment industry pages that attract diverse audiences and passionate fans
  • Public figures or influencers who need to maintain a positive image and engage with followers
  • Educational institutions or non-profits that want to ensure respectful and constructive dialogue

Essentially, any business with an active Facebook presence that values maintaining a positive, respectful, and safe environment for their audience can greatly benefit from this automated moderation tool.

Created: | Last Updated:

An app that moderates comments on your page feed using Facebook API and webhooks. This app uses the FastAPI to create a webhook endpoint for moderating posts on your page. A facebook access token for the page will be needed to make the API call. The permission scopes you will need for the access token are `pages_read_engagement` and `pages_manage_posts permissions` as an admin of the page you are posting to. The app moderates comments on Facebook ads/posts by removing and flagging hateful speech.

Introduction to the Facebook Post Moderator Template

Welcome to the Facebook Post Moderator template! This template is designed to help you moderate comments on your Facebook page feed using the Facebook API and webhooks. It utilizes FastAPI to create a webhook endpoint that automatically moderates posts on your page, flagging or removing any inappropriate comments. Before you begin, ensure you have admin access to the Facebook page you wish to moderate, as you will need this to obtain the necessary access token.

Getting Started

To begin using this template, click on "Start with this Template" in the Lazy builder interface. This will pre-populate the code in the Lazy Builder, so you won't need to copy or paste any code manually.

Initial Setup: Adding Environment Secrets

Before testing the template, you'll need to set up an environment secret for the PAGE_ACCESS_TOKEN. Here's how to obtain and set up your PAGE_ACCESS_TOKEN:

  • Go to the Facebook Developer Portal and create a new app if you haven't already.
  • Under the app's settings, navigate to the "Add Product" section and set up "Facebook Login."
  • Ensure you have the `pages_read_engagement` and `pages_manage_posts` permissions.
  • Generate a Page Access Token by going to "Token Generation" in the "Messenger" settings.
  • Copy the generated Page Access Token.
  • In the Lazy Builder interface, go to the Environment Secrets tab.
  • Create a new secret with the key `PAGE_ACCESS_TOKEN` and paste the token you copied as the value.

Test: Pressing the Test Button

Once you have set up your environment secret, press the "Test" button in the Lazy builder interface. This will begin the deployment of the app and launch the Lazy CLI.

Using the App

After pressing the "Test" button, Lazy will handle the deployment of your application. You will be provided with a dedicated server link to use the API. Since this template uses FastAPI, you will also receive a link to the API documentation, which you can use to interact with your new Facebook Post Moderator app.

Integrating the App

To integrate the Facebook Post Moderator into your Facebook page, you will need to set up a webhook in your Facebook app settings:

  • Go to the "Webhooks" section in your Facebook app's settings.
  • Click "Edit Subscription" for the Page you want to moderate.
  • Enter the URL provided by Lazy as the Callback URL.
  • Enter a Verify Token of your choice (you will need to update your code to include this token).
  • Select the "messages" and "messaging_postbacks" subscription fields.
  • Click "Verify and Save" to set up the webhook.

Now, your Facebook Post Moderator app will receive webhook events whenever there is activity on your page, and it will automatically moderate comments based on the logic you've set up.

Remember, you don't need to worry about installing libraries or setting up your environment. Lazy handles all of that for you, so you can focus on building your application.

Here's a sample request you might send to your app's API:

`POST /webhook/ HTTP/1.1
Host: your-lazy-app-url.com
Content-Type: application/json

{
  "object": "page",
  "entry": [
    {
      "id": "page-id",
      "time": 1234567890,
      "messaging": [
        {
          "sender": {
            "id": "user-id"
          },
          "recipient": {
            "id": "page-id"
          },
          "timestamp": 1234567890,
          "message": {
            "mid": "mid.1234567890",
            "text": "hello, world!"
          }
        }
      ]
    }
  ]
}` And a sample response indicating successful moderation:

{   "message": "Comment moderated successfully." } With this template and the Lazy platform, you're now equipped to create a robust comment moderation system for your Facebook page. Happy building!



Template Benefits

  1. Automated Content Moderation: This template provides a robust system for automatically moderating comments on Facebook pages, saving businesses significant time and resources that would otherwise be spent on manual moderation.

  2. Brand Protection: By quickly identifying and removing inappropriate or offensive comments, the system helps maintain a positive brand image and protects the company's reputation on social media platforms.

  3. Improved Customer Experience: The automated moderation ensures a cleaner, more positive environment for genuine customers to engage with the brand, enhancing overall user experience on the Facebook page.

  4. Scalability: As the business grows and social media engagement increases, this system can easily handle a growing volume of comments without requiring proportional increases in human moderation resources.

  5. Compliance and Risk Management: By proactively removing potentially harmful or illegal content, the system helps businesses comply with platform policies and reduces legal risks associated with user-generated content on their social media pages.

Technologies

Similar templates