Create new file

app.py

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+import joblib
+import pandas as pd
+import streamlit as st
+
+model = joblib.load('model.joblib')
+unique_values = joblib.load('unique_values.joblib')
+
+unique_sex = unique_values['Sex'] 
+unique_BP = unique_values['BP']
+unique_Cholesterol = unique_values['Cholesterol']
+
+
+def main():
+    st.title("Medicine Suggestion") #<-Apps' name
+
+    with st.form("questionaire"):
+        age = st.slider('Age',min_value=10,max_value=100)
+        Na_to_K = st.slider('Na_to_K',min_value=1,max_value=50)
+        sex = st.selectbox('sex',options=unique_sex)
+        BP = st.selectbox('BP',options=unique_BP)
+        Cholesterol = st.selectbox('Cholesterol',options=unique_Cholesterol)
+        
+
+        # clicked==True only when the button is clicked
+        clicked = st.form_submit_button("Predict medicine")
+        if clicked:
+            result=model.predict(pd.DataFrame({"age": [age],
+                                               "Na_to_K": [Na_to_K],
+                                               "sex": [sex],
+                                               "BP": [BP],
+                                               "Cholesterol": [Cholesterol]
+                                               }))
+            # Show prediction
+            result = result[0]
+            st.success("You should get " +result)
+
+# Run main()
+if __name__=="__main__":
+    main()