Create app.py

app.py

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+import streamlit as st
+import numpy as np
+import pickle
+
+# Load the model
+with open('log_reg_model.pkl', 'rb') as f:
+    model = pickle.load(f)
+
+st.title("AI Sleep State Detection")
+st.markdown("Enter **angle** and **enmo** to predict the sleep state:")
+
+angle = st.number_input("Angle", min_value=0.0, max_value=360.0, step=0.1)
+enmo = st.number_input("ENMO", min_value=0.0, max_value=2.0, step=0.01)
+
+if st.button("Detect Sleep State"):
+    input_data = np.array([[angle, enmo]])
+    prediction = model.predict(input_data)[0]
+
+    if prediction == 0:
+        st.success("Sleep State: **Wakeup**")
+    else:
+        st.success("Sleep State: **Onset**")