from transformers import pipeline import gradio as gr model = pipeline("text-classification", model="theArijitDas/distilbert-finetuned-fake-reviews-dataset") # List of AI-related keywords ai_keywords = [ "AI chatbot", "Generated by AI", "Machine learning", "Artificial intelligence", "Deep learning", "As a language model", "Powered by AI", "As an AI assistant", "Trained by neural networks", "As an AI model", "Based on AI technology", "AI-generated", "AI-powered", "Algorithmic content", "Automated text", "Computer-generated", "Generated by machine", "Created by AI", "Synthetic text", "AI-driven", "Using natural language processing", "As an AI language model", "AI system", "AI-based", "AI assistance", "Generated by machine learning", "AI capabilities", "AI algorithms", "Produced by AI", "Automated response", "As an artificial intelligence", "With AI support", "AI-generated content", "AI-enhanced", "Using deep learning", "Generated using algorithms", "Created by machine learning", "Produced by machine learning", "Automated generation", "Computer-generated response", "AI-based content", "AI-generated text", "Machine-produced", "AI-processed", "AI-generated response", "With machine learning", "By artificial intelligence", "AI-created", "Neural network", "Generated by a computer", "Automated content creation", "Created by algorithms", "Synthesized text", "AI-crafted", "Text produced by AI", "AI content generation", "Programmatically generated", "Generated by neural networks", "AI-assisted", "AI text generator", "Generated by NLP", "As a neural network", "AI text creation", "Machine learning model", "AI-generated language", "Automated writing", "NLP-generated", "Text by AI", "AI-produced", "AI-enabled", "Algorithm-driven content", "As an intelligent system", "Machine-authored", "AI text", "AI machine learning", "AI language processing", "Text generated by AI", "Automated AI", "AI language model", "Generated with AI", "Algorithmic text", "AI-authored", "With artificial intelligence", "By machine learning algorithms", "AI-generated phrases", "Computer-created", "AI neural networks", "Machine-generated text", "Automated neural network", "AI content", "AI-powered generation", "AI textual content", "AI natural language", "Machine-generated content", "AI-driven text", "Neural network-generated", "AI output", "Generated by artificial intelligence", "Automated generation by AI", "AI synthetic text", "AI bot", ] def contains_ai_keywords(text): for keyword in ai_keywords: if keyword.lower() in text.lower(): return True return False def classify_review_with_model(text): label = model(text)[0]['label'] return label def classify(text): if contains_ai_keywords(text): return "FAKE" # Flag as AI-generated else: return classify_review_with_model(text) iface = gr.Interface(classify, inputs=["text"], outputs=["text"], title="Fake Review Detector", description="Enter product review to classify it as REAL or FAKE.") iface.launch()