| # Load the model pipeline | |
| detector = pipeline("text-classification", model="openai-community/roberta-large-openai-detector") | |
| # Define a function for detection | |
| def detect_ai_content(text): | |
| result = detector(text) | |
| return result | |
| # Create a Gradio interface | |
| iface = gr.Interface( | |
| fn=detect_ai_content, | |
| inputs="text", | |
| outputs="json", | |
| title="AI Content Detector" | |
| ) | |
| iface.launch() | |