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:ff92a7baf0ba16bafe7db971e0df95aec89b4bf34ba4cf1f3cc1dc02439b16d0
+size 107521

requirements.txt

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+scikit-learn==1.3.2