Update app.py

app.py

@@ -177,6 +177,8 @@ elif st.session_state.question_no == 10:
     out = modelSession.run(None, {input_name: test_data})[1]
     # out = model.predict([st.session_state.pregnancies, st.session_state.glucose, st.session_state.bp, st.session_state.bmi, st.session_state.dpf])
     out = softmax(list(out[0].values()))[1]
+    out = (out - 0.45)*50
+    out = 0 if out < 0 else 1 if out > 1 else out
     risk = "high" if out <= 0.3 else "medium" if out <= 0.6 else "high" if out <= 0.9 else "very high"
 
     st.write(f"Risk of type 2 diabetes is {risk}")