Create app.py

app.py

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+# -*- coding: utf-8 -*-
+"""Copy of Skin NTDs.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/110qV0zVen9O-zjd-wOuHOKURfR0lUfc7
+"""
+
+
+
+import numpy as np
+import skfuzzy as fuzz
+from skfuzzy import control as ctrl
+import matplotlib.pyplot as plt
+import streamlit as st
+
+# Create fuzzy variables & membership functions for lump 
+lump_amount = ctrl.Antecedent(np.arange(0, 11, 1), 'lump_amount')
+lump_amount['1 to 3'] = fuzz.trimf(lump_amount.universe, [0, 0, 3])
+lump_amount['more than 3'] = fuzz.trimf(lump_amount.universe, [3, 11, 11])
+
+lump_hardness = ctrl.Antecedent(np.arange(0, 11, 1), 'lump_hardness')
+lump_hardness['soft'] = fuzz.trimf(lump_hardness.universe, [0, 0, 5])
+lump_hardness['solid'] = fuzz.trimf(lump_hardness.universe, [5, 11, 11])
+
+lump_size = ctrl.Antecedent(np.arange(0, 11, 1), 'lump_size')
+lump_size['small'] = fuzz.trimf(lump_size.universe, [0, 0, 5])
+lump_size['large'] = fuzz.trimf(lump_size.universe, [5, 11, 11])
+
+lump_location = ctrl.Antecedent(np.arange(0, 11, 1), 'lump_location')
+lump_location['localized'] = fuzz.trapmf(lump_location.universe, [0, 0, 3, 6])
+lump_location['widespread'] = fuzz.trapmf(lump_location.universe, [3, 6, 11, 11])
+
+lump_itch = ctrl.Antecedent(np.arange(0, 11, 1), 'lump_itch')
+lump_itch['not itchy'] = fuzz.trapmf(lump_itch.universe, [0, 0, 3, 6])
+lump_itch['itchy'] = fuzz.trapmf(lump_itch.universe, [3, 6, 7, 8])
+lump_itch['very itchy'] = fuzz.trapmf(lump_itch.universe, [7, 8, 11, 11])
+
+lump_pus = ctrl.Antecedent(np.arange(0, 2, 1), 'lump_pus')
+lump_pus['present'] = fuzz.trapmf(lump_pus.universe, [0, 0, 1, 1])
+lump_pus['absent'] = fuzz.trapmf(lump_pus.universe, [1, 1, 2, 2])
+
+# Create fuzzy variables for ulcer 
+ulcer_location = ctrl.Antecedent(np.arange(0, 3, 1), 'ulcer_location')
+ulcer_location['feet or hands'] = fuzz.trapmf(ulcer_location.universe, [0, 0, 1, 1])
+ulcer_location['others'] = fuzz.trapmf(ulcer_location.universe, [1, 1, 2, 2])
+
+ulcer_edge = ctrl.Antecedent(np.arange(0, 2, 1), 'ulcer_edge')
+ulcer_edge['irregular'] = fuzz.trapmf(ulcer_edge.universe, [0, 0, 1, 1])
+ulcer_edge['regular'] = fuzz.trapmf(ulcer_edge.universe, [1, 1, 2, 2])
+                                    
+ulcer_pain = ctrl.Antecedent(np.arange(0, 2, 1), 'ulcer_pain')
+ulcer_pain['painless'] = fuzz.trapmf(ulcer_pain.universe, [0, 0, 1, 1])
+ulcer_pain['painful'] = fuzz.trapmf(ulcer_pain.universe, [1, 1, 2, 2])
+
+# Create fuzzy variables for swollen limb
+swollen_limb = ctrl.Antecedent(np.arange(0, 2, 1), 'swollen_limb')
+swollen_limb['unilateral'] = fuzz.trapmf(swollen_limb.universe, [0, 0, 1, 1])
+swollen_limb['bilateral'] = fuzz.trapmf(swollen_limb.universe, [1, 1, 2, 2])
+
+swollen_location = ctrl.Antecedent(np.arange(0, 3, 1), 'swollen_location')
+swollen_location['localised'] = fuzz.trapmf(swollen_location.universe, [0, 0, 1, 1])
+swollen_location['widespread'] = fuzz.trapmf(swollen_location.universe, [1, 1, 2, 2])
+
+swelling_sensation = ctrl.Antecedent(np.arange(0, 2, 1), 'swelling_sensation')
+swelling_sensation['painless'] = fuzz.trapmf(swelling_sensation.universe, [0, 0, 1, 1])
+swelling_sensation['painful'] = fuzz.trapmf(swelling_sensation.universe, [1, 1, 2, 2])
+
+# Create fuzzy variables for patch 
+patch_itch = ctrl.Antecedent(np.arange(0, 11, 1), 'patch_itch')
+patch_itch['itchy'] = fuzz.trimf(patch_itch.universe, [0, 0, 5])
+patch_itch['non-itchy'] = fuzz.trimf(patch_itch.universe, [5, 11, 11])
+
+patch_texture = ctrl.Antecedent(np.arange(0, 11, 1), 'patch_texture')
+patch_texture['smooth'] = fuzz.trimf(patch_texture.universe, [0, 0, 5])
+patch_texture['scaly'] = fuzz.trimf(patch_texture.universe, [5, 11, 11])
+
+patch_wetness = ctrl.Antecedent(np.arange(0, 11, 1), 'patch_wetness')
+patch_wetness['wet'] = fuzz.trimf(patch_wetness.universe, [0, 0, 5])
+patch_wetness['dry'] = fuzz.trimf(patch_wetness.universe, [5, 11, 11])
+
+# Create fuzzy variable for diagnosis
+diagnosis = ctrl.Consequent(np.arange(0, 11, 1), 'diagnosis')
+diagnosis['leprosy'] = fuzz.trapmf(diagnosis.universe, [0, 0, 2, 5])
+diagnosis['scabies'] = fuzz.trapmf(diagnosis.universe, [3, 5, 7, 8])
+diagnosis['lymphatic_filariasis'] = fuzz.trapmf(diagnosis.universe, [6, 8, 10, 10])
+
+# Fuzzy rules
+rule1 = ctrl.Rule(lump_amount['more than 3'] & lump_hardness['solid'] & lump_size['large'] & (patch_itch['non-itchy'] | patch_texture['scaly'] | patch_wetness['dry'], diagnosis['leprosy'])
+rule2 = ctrl.Rule(lump amount['more than 3'] & lump_hardness['soft'] & lump_size['small'] | lump_location['widespread'] | lump_itch['very itchy'] | lump_pus['present'], diagnosis['scabies'])
+rule3 = ctrl.Rule(swollen_limb['unilateral'] | swollen_location['localised'] | swelling_sensation['painful'], diagnosis['lymphatic filariasis'])
+
+
+# Create control system
+diagnosis_ctrl = ctrl.ControlSystem([rule1, rule2, rule3])
+
+# Create control system simulator
+diagnosis_fuzzy = ctrl.ControlSystemSimulation(diagnosis_ctrl)
+
+import streamlit as st
+
+# Create the user interface
+st.title("Disease Diagnosis")
+
+lump_amount = st.selectbox("Lump amount", ["1 to 3", "more than 3"])
+lump_hardness = st.selectbox("Lump hardness", ["soft", "solid"])
+lump_size = st.selectbox("Lump size", ["small", "large"])
+lump_location = st.text_input("Lump location", ["localised", "widespread"])
+lump_itch = st.selectbox("Lump itch", ["not itchy", "slightly itchy", "very itchy"])
+lump_pus = st.selectbox("Lump pus", ["absent", "present"])
+
+ulcer_location = st.selectbox("Ulcer location", ["feet", "hands", "other"])
+ulcer_edge = st.selectbox("Ulcer edge", ["regular", "irregular"])
+ulcer_pain = st.selectbox("Ulcer pain", ["painful", "painless"])
+
+swollen_limb = st.selectbox("Swollen limb", ["unilateral", "bilateral"])
+swollen_location = st.text_input("Swollen location", ["localised", "widespread"])
+swelling_sensation = st.selectbox("Swelling sensation", ["painful", "painless"])
+
+patch_itch = st.selectbox("Patch itch", ["non-itchy", "itchy"])
+patch_texture = st.selectbox("Patch texture", ["smooth", "scaly"])
+patch_wetness = st.selectbox("Patch wetness", ["dry", "wet"])
+
+
+if st.button("Diagnose"):
+    diagnosis = diagnose(lump_amount, lump_hardness, lump_size, lump_location, lump_itch, lump_pus, ulcer_location, ulcer_edge, ulcer_pain, swollen_limb, swollen_location, swelling_sensation, patch_itch, patch_texture, patch_wetness)
+    st.success(diagnosis)
+
+# Print the diagnosis
+print(diagnosis_fuzzy.output['diagnosis'])
+
+# Defuzzification
+# Pass crisp input values to the control system and get the diagnosis
+diagnosis_fuzzy.input['lump_amount'] = 5
+diagnosis_fuzzy.input['lump_hardness'] = 7
+diagnosis_fuzzy.input['lump_size'] = 6
+diagnosis_fuzzy.input['lump_location'] = 8
+diagnosis_fuzzy.input['lump_itch'] = 9
+diagnosis_fuzzy.input['lump_pus'] = 1
+diagnosis_fuzzy.input['swollen_limb'] = 1
+diagnosis_fuzzy.input['swollen_location'] = 10
+diagnosis_fuzzy.input['swelling_sensation'] = 8
+diagnosis_fuzzy.input['swelling_color'] = 7
+
+diagnosis_fuzzy.compute()
+
+# Print the diagnosis
+print(diagnosis_fuzzy.output['diagnosis'])