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app.py

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+import joblib
+import pandas as pd
+import streamlit as st 
+
+model = joblib.load('rf.joblib')
+unique_values = joblib.load('unique_values1.joblib')
+unique_sex =  unique_values["Gender"]    
+unique_occupation =  unique_values["Occupation"]
+unique_ฺBMI = unique_values["BMI Category"]
+unique_Blood =  unique_values["Blood Pressure"]
+
+def main():
+    st.title("Sleeping Health")
+
+    with st.form("questionaire"):
+        Gender = st.selectbox("Gender", unique_sex)
+        age = st.slider("Age", min_value=1, max_value=100)
+        occupation = st.selectbox("Occupation", unique_occupation)
+        Sleep_Duration = st.slider("Sleep Duration", min_value=0, max_value=24)
+        Quality_of_Sleep = st.slider("Quality of Sleep", min_value=1, max_value=10)
+        Physical_Activity_Level = st.slider("Quality of Sleep", min_value=0, max_value=1440)
+        BMI_Category = st.selectbox("ฺBMI Category", unique_ฺBMI)
+        Blood_Pressure = st.selectbox("Blood Pressure", unique_Blood)
+        Heart_Rate = st.slider("Heart Rate", min_value=60, max_value=100)
+        Daily_Steps = st.slider("Daily Steps", min_value=3000, max_value=10000)
+
+        clicked = st.form_submit_button("Predict Sleep Health")
+        if clicked:
+            result=model.predict(pd.DataFrame({"age": [age],
+                                               "Gender": [Gender],
+                                               "Occupation": [occupation],
+                                               "Sleep Duration (hours)": [Sleep_Duration],
+                                               "Quality of Sleep (scale: 1-10)": [Quality_of_Sleep],
+                                               "Physical Activity Level (minutes/day)": [Physical_Activity_Level],
+                                               "BMI Category": [BMI_Category],
+                                               "Blood Pressure (systolic/diastolic)": [Blood_Pressure],
+                                               "Heart Rate (bpm)": [Heart_Rate],
+                                               "Daily Steps": [Daily_Steps]
+                                               }))
+            if result[0] == 0:
+                result_message = "No Sleep Disorder"
+            elif result[0] == 1:
+                result_message = "Insomnia"
+            elif result[0] == 2:
+                result_message = "Sleep Apnea"
+            st.success(result_message)
+
+if __name__=='__main__':
+    main()

requirements.txt

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+joblib
+pandas
+scikit-learn==1.2.2
+xgboost==1.7.6
+altair<5

rf1.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b87a5ab251aa98b907f25dd5c5353b3572ffb242b5523fd634039c7fcbb8fa60
+size 817537

unique_values2.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c5d60daddca981d77a0f5ae533c8d16f0c8bcef7d72a5b60651012c009dcff26
+size 177