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| import gradio as gr | |
| def layout(): | |
| return gr.Column([ | |
| gr.Markdown("## What is a Deepfake?"), | |
| gr.Markdown( | |
| "A **deepfake** is a type of synthetic media generated using deep learning techniques, " | |
| "particularly deep neural networks. The term **'deepfake'** is a combination of *'deep learning'* and *'fake'*." | |
| "\n\nIn deepfake technology, algorithms are used to create or manipulate audio, video, or images to depict something " | |
| "that did not actually occur or that alters the appearance or actions of individuals. This can involve superimposing " | |
| "images or videos of people onto existing footage, making individuals appear to say or do things they never said or did." | |
| ), | |
| gr.Markdown("## Real Cases"), | |
| gr.Markdown("**Kerala Man Loses Rs 40,000 to AI-Based Deepfake WhatsApp Fraud**"), | |
| gr.Markdown( | |
| "A man in Kerala lost Rs 40,000 in an online scam on WhatsApp involving AI-based deepfake technology. " | |
| "The scammer impersonated the victim's former colleague via video call, fabricating a medical emergency and requesting money. " | |
| "This incident underscores the danger of sophisticated online fraud using deepfake technology and emphasizes the importance " | |
| "of verifying unexpected financial requests to avoid falling victim to such scams." | |
| ) | |
| ]) | |