Create app.py

app.py

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+import skfuzzy as fuzz
+from skfuzzy import control as crt
+import numpy as np
+import matplotlib.pyplot as plt
+import pandas as pd
+import streamlit as st
+import matplotlib
+import matplotlib.image as mpimg
+
+sDA=crt.Antecedent(np.arange(0,100.01,0.1),'sda')#50
+Udi=crt.Antecedent(np.arange(0,100.1,0.1),'udi')#50
+Ase=crt.Antecedent(np.arange(0,100.1,0.1),'ase')#kamtaraz10
+sDgp=crt.Antecedent(np.arange(0,100.1,0.1),'sdgp')
+emtiaz_l=crt.Consequent(np.arange(-4,24.01,0.01),'score')
+
+sDA['low']=fuzz.trapmf(sDA.universe,[0,0,46.7,55])
+sDA['acceptable']=fuzz.trapmf(sDA.universe,[46.7,55,75,86.25])
+sDA['excelent']=fuzz.trapmf(sDA.universe,[75,86.25,100,100])
+
+Udi['low']=fuzz.trapmf(Udi.universe,[0,0,42.5,50])
+Udi['acceptable']=fuzz.trapmf(Udi.universe,[42.5,50,100,100])
+
+Ase['acceptable']=fuzz.trapmf(Ase.universe,[0,0,10,11.5])
+Ase['unacceptable']=fuzz.trapmf(Ase.universe,[10,11.5,100,100])
+
+sDgp['acceptable']=fuzz.trapmf(sDgp.universe,[0,0,35,40.25])
+sDgp['high']=fuzz.trapmf(sDgp.universe,[35,40.25,100,100])
+
+emtiaz_l['awful']=fuzz.gaussmf(emtiaz_l.universe,0,1)
+emtiaz_l['bad']=fuzz.gaussmf(emtiaz_l.universe,4,1)
+emtiaz_l['not_bad']=fuzz.gaussmf(emtiaz_l.universe,8,1)
+emtiaz_l['good']=fuzz.gaussmf(emtiaz_l.universe,12,1)
+emtiaz_l['very_good']=fuzz.gaussmf(emtiaz_l.universe,16,1)
+emtiaz_l['excelent']=fuzz.gaussmf(emtiaz_l.universe,20,1)
+
+r1=crt.Rule(sDA['excelent']&Udi['acceptable']&Ase['acceptable']&sDgp['acceptable'],emtiaz_l['excelent'])
+r2=crt.Rule(sDA['acceptable']&Udi['acceptable']&Ase['acceptable']&sDgp['acceptable'],emtiaz_l['very_good'])
+
+r3=crt.Rule(sDA['excelent']&~Udi['acceptable']&Ase['acceptable']&sDgp['acceptable'],emtiaz_l['very_good'])
+r4=crt.Rule(sDA['excelent']&Udi['acceptable']&~Ase['acceptable']&sDgp['acceptable'],emtiaz_l['very_good'])
+r5=crt.Rule(sDA['excelent']&Udi['acceptable']&Ase['acceptable']&~sDgp['acceptable'],emtiaz_l['very_good'])
+
+
+r6=crt.Rule(sDA['acceptable']&~Udi['acceptable']&Ase['acceptable']&sDgp['acceptable'],emtiaz_l['good'])
+r7=crt.Rule(sDA['acceptable']&Udi['acceptable']&~Ase['acceptable']&sDgp['acceptable'],emtiaz_l['good'])
+r8=crt.Rule(sDA['acceptable']&Udi['acceptable']&Ase['acceptable']&~sDgp['acceptable'],emtiaz_l['good'])
+
+r9=crt.Rule(sDA['excelent']&~Udi['acceptable']&~Ase['acceptable']&sDgp['acceptable'],emtiaz_l['good'])
+r10=crt.Rule(sDA['excelent']&~Udi['acceptable']&Ase['acceptable']&~sDgp['acceptable'],emtiaz_l['good'])
+r11=crt.Rule(sDA['excelent']&Udi['acceptable']&~Ase['acceptable']&~sDgp['acceptable'],emtiaz_l['good'])
+
+r12=crt.Rule(sDA['acceptable']&~Udi['acceptable']&~Ase['acceptable']&sDgp['acceptable'],emtiaz_l['not_bad'])
+r13=crt.Rule(sDA['acceptable']&~Udi['acceptable']&Ase['acceptable']&~sDgp['acceptable'],emtiaz_l['not_bad'])
+r14=crt.Rule(sDA['acceptable']&Udi['acceptable']&~Ase['acceptable']&~sDgp['acceptable'],emtiaz_l['not_bad'])
+
+r15=crt.Rule(sDA['excelent']&~Udi['acceptable']&~Ase['acceptable']&~sDgp['acceptable'],emtiaz_l['not_bad'])
+
+
+r16=crt.Rule(sDA['low']&Udi['acceptable']&Ase['acceptable']&sDgp['acceptable'],emtiaz_l['very_good'])
+r17=crt.Rule(sDA['low']&~Udi['acceptable']&Ase['acceptable']&sDgp['acceptable'],emtiaz_l['good'])
+r18=crt.Rule(sDA['low']&Udi['acceptable']&~Ase['acceptable']&sDgp['acceptable'],emtiaz_l['good'])
+r19=crt.Rule(sDA['low']&Udi['acceptable']&Ase['acceptable']&~sDgp['acceptable'],emtiaz_l['good'])
+
+r20=crt.Rule(sDA['low']&~Udi['acceptable']&~Ase['acceptable']&sDgp['acceptable'],emtiaz_l['bad'])
+r21=crt.Rule(sDA['low']&Udi['acceptable']&~Ase['acceptable']&~sDgp['acceptable'],emtiaz_l['bad'])
+
+r22=crt.Rule(sDA['low']&~Udi['acceptable']&~Ase['acceptable']&~sDgp['acceptable'],emtiaz_l['bad'])
+r23=crt.Rule(sDA['acceptable']&~Udi['acceptable']&~Ase['acceptable']&~sDgp['acceptable'],emtiaz_l['not_bad'])
+r24=crt.Rule(sDA['acceptable']&Udi['acceptable']&~Ase['acceptable']&~sDgp['acceptable'],emtiaz_l['not_bad'])
+r25=crt.Rule(sDA['low']&~Udi['acceptable']&Ase['acceptable']&~sDgp['acceptable'],emtiaz_l['not_bad'])
+
+
+cs=crt.ControlSystem([r1,
+r2,
+r3,
+r4,
+r5,
+r6,
+r7,
+r8,
+r9,
+r10,
+r11,
+r12,
+r13,
+r14,
+r15,
+r16,
+r17,
+r18,
+r19,
+r20,
+r21,
+r22,
+r23,
+r24,
+r25,
+
+                      
+                      
+])
+cs1=crt.ControlSystemSimulation(cs)
+
+st.title("daylight analysis")
+
+b1=cs1.input['sda']=st.sidebar.slider('sDA',min_value=0.0,max_value=100.0,step=1.0,value=50.0)
+c1=cs1.input['udi']=st.sidebar.slider('UDI',min_value=0.0,max_value=100.0,step=1.0,value=50.0)
+d1=cs1.input['ase']=st.sidebar.slider('ASE',min_value=0.0,max_value=100.0,step=1.0,value=50.0)
+e1=cs1.input['sdgp']=st.sidebar.slider('sDGP',min_value=0.0,max_value=100.0,step=1.0,value=50.0)
+
+st.set_option('deprecation.showPyplotGlobalUse', False)
+cs1.compute()
+score=cs1.output['score']
+st.set_option('deprecation.showPyplotGlobalUse', False)
+st.header('your score is :')
+st.header(score)
+
+st.header('sDA')
+img = mpimg.imread('sda.jpg')
+values=[]
+imgplot = plt.imshow(img)
+
+plt.yticks(values)
+plt.xticks(values)
+plt.scatter(b1*5655/100,1,s=500,marker="v",color='black')
+st.pyplot()
+
+st.header('UDI')
+img = mpimg.imread('sda.jpg')
+values=[]
+imgplot = plt.imshow(img)
+
+plt.yticks(values)
+plt.xticks(values)
+plt.scatter(c1*5655/100,1,s=500,marker="v",color='black')
+st.pyplot()
+
+
+
+
+st.header('ASE')
+img = mpimg.imread('ASE.jpg')
+values=[]
+imgplot = plt.imshow(img)
+
+plt.yticks(values)
+plt.xticks(values)
+plt.scatter(d1*5655/100,1,s=500,marker="v",color='black')
+
+st.pyplot()
+
+st.header('sDGP')
+img = mpimg.imread('sdg1.jpg')
+values=[]
+imgplot = plt.imshow(img)
+
+plt.yticks(values)
+plt.xticks(values)
+plt.scatter(e1*5655/100,1,s=500,marker="v",color='black')
+
+st.pyplot()
+
+