Update app.py

app.py

@@ -19,7 +19,22 @@ X = pd.DataFrame([symptoms_dict], columns=column_list)
 st.write('Generated DataFrame:')
 st.write(X)
 
-
+# Unpickle classifier
+clf = joblib.load("self_diagnose_model.pkl")
+
+# Store inputs into dataframe
+X = pd.DataFrame([[
+    age, sex, high_chol, chol_check, bmi, smoker, hda, pa, fruit, veggies, hac, gh, mh, ph, dw, stroke, high_bp
+]], columns=preds)
+
+# Get prediction
+prediction = clf.predict(X)[0]
+
+# Output prediction
+if prediction == 0:
+    st.text("No Diabetes")
+else:
+    st.text("Diabetes")