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| import gradio as gr | |
| from transformers import pipeline | |
| import re | |
| sentiment_pipeline = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english") | |
| ner_pipeline = pipeline("ner", model="dbmdz/bert-large-cased-finetuned-conll03-english", aggregation_strategy="simple") | |
| moderation_guidelines = """ | |
| - Allow positive messages | |
| - Block cuss words | |
| - Allow negative comments about individuals but block negative comments against a community | |
| - Block personal names | |
| """ | |
| default_cuss_words = {"damn", "hell", "shit", "fuck", "ass", "bastard", "bitch", "bollocks", "bugger", | |
| "bullshit", "crap", "dammit", "douche", "dumbass", "faggot", "jackass", "jerk", | |
| "motherfucker", "piss", "prick", "slut", "son of a bitch", "twat", "wanker"} | |
| community_terms = {"religion", "race", "ethnicity", "group", "community", "gender"} | |
| def extract_blocked_words(guidelines): | |
| """Extracts blocked words from moderation guidelines.""" | |
| match = re.search(r"block words:\s*(.*)", guidelines.lower()) | |
| return {word.strip() for word in match.group(1).split(",") if word.strip()} if match else set() | |
| def moderate_message(message, guidelines): | |
| """Moderates a message based on sentiment and dynamic moderation rules.""" | |
| sentiment = sentiment_pipeline(message)[0]['label'] | |
| blocked_words = extract_blocked_words(guidelines) | |
| allow_positive = "allow positive" in guidelines.lower() | |
| block_cuss_words = "block cuss" in guidelines.lower() | |
| allow_negative_personal = "allow negative comments about individuals" in guidelines.lower() | |
| block_negative_community = "block negative comments against a community" in guidelines.lower() | |
| block_personal_names = "block personal names" in guidelines.lower() | |
| words = set(re.findall(r'\w+', message.lower())) | |
| # 1. Block Cuss Words | |
| if block_cuss_words and words & default_cuss_words: | |
| return "❌ Message Blocked: Contains inappropriate language." | |
| # 2. Block Dynamically Defined Words | |
| if words & blocked_words: | |
| return "🚫 Message Blocked: Contains restricted words." | |
| # 3. Block Personal Names Dynamically | |
| if block_personal_names: | |
| entities = ner_pipeline(message) | |
| for entity in entities: | |
| if entity['entity_group'] == 'PER': | |
| return "🚫 Message Blocked: Contains personal names." | |
| if sentiment == "POSITIVE" and allow_positive: | |
| return f"✅ Allowed (Positive): {message}" | |
| if sentiment == "NEGATIVE": | |
| if any(word in message.lower() for word in community_terms) and block_negative_community: | |
| return "🚫 Message Blocked: Negative content targeting a community." | |
| elif allow_negative_personal: | |
| return f"⚠️ Allowed (Negative - Personal Attack): {message}" | |
| return f"✅ Allowed (Neutral): {message}" | |
| with gr.Blocks() as demo: | |
| gr.Markdown("### 🛡️ AI-Powered Moderation System") | |
| guidelines_input = gr.Textbox(value=moderation_guidelines, label="Moderation Guidelines (Admins Can Update)", lines=6) | |
| with gr.Row(): | |
| msg_input = gr.Textbox(label="Enter Message") | |
| msg_output = gr.Textbox(label="Moderation Result", interactive=False) | |
| moderate_btn = gr.Button("Check Message") | |
| moderate_btn.click(moderate_message, inputs=[msg_input, guidelines_input], outputs=[msg_output]) | |
| demo.launch() | |