Create app.py

app.py

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+import gradio as gr
+import pickle
+import numpy as np
+
+# Load model
+with open("log_reg_model.pkl", "rb") as f:
+    model = pickle.load(f)
+
+# Define prediction function
+def predict_sleep(step: float, hour: float):
+    input_data = np.array([[step, hour]])
+    prediction = model.predict(input_data)[0]
+    label = "Sleep Onset" if prediction == 1 else "Wakeup"
+    return label
+
+# Gradio interface
+iface = gr.Interface(
+    fn=predict_sleep,
+    inputs=[
+        gr.Number(label="Step Count"),
+        gr.Number(label="Hour (0-23)")
+    ],
+    outputs=gr.Text(label="Prediction"),
+    title="Sleep Prediction (Onset/Wakeup)",
+    description="Enter step count and hour to predict whether it's sleep onset or wakeup."
+)
+
+# Launch app
+if __name__ == "__main__":
+    iface.launch()