Upload the application files

app.py

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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()

localoutlierfactor.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:457527146fd9623882732251ab95714dfd1cc1ff12dd45e3b644588f8212f900
+size 107489

requirements.txt

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+scikit-learn==1.1.3