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| # Import dependencies | |
| import gradio as gr | |
| import numpy as np | |
| import joblib | |
| # Predict function | |
| def predict(region1, region2, region3, region4, region5, region6): | |
| model = joblib.load("./localoutlierfactor.joblib") | |
| yhat = model.predict( | |
| np.array([[region1, region2, region3, region4, region5, region6]]) | |
| ) | |
| return "Weird Traffic" if yhat == -1 else "Normal Traffic" | |
| # Building the Interface | |
| app = gr.Interface( | |
| title="Traffic Anomaly Detection 🚦", | |
| fn=predict, | |
| inputs=[ | |
| gr.Slider(0, 800), | |
| gr.Slider(0, 800), | |
| gr.Slider(0, 800), | |
| gr.Slider(0, 800), | |
| gr.Slider(0, 800), | |
| gr.Slider(0, 800), | |
| ], | |
| outputs="text", | |
| ) | |
| # Launch the app | |
| app.launch() | |