Update app.py

app.py

@@ -1,3 +1,5 @@
+import streamlit as st
+import plotly.graph_objects as go
 import skfuzzy as fuzz
 from skfuzzy import control as crt
 import numpy as np
@@ -6,6 +8,9 @@ import matplotlib as ml
 import streamlit as st
 import math
 from mpl_toolkits.mplot3d import Axes3D
+import streamlit as st
+
+
 st.title('Schematic Design')
 
 
@@ -17,6 +22,8 @@ ertefa=crt.Antecedent(np.arange(2.3,10.001,0.001),'e')
 WWR=crt.Antecedent(np.arange(0,1.001,0.001),'f')
 emtiaz_HH=crt.Consequent(np.arange(-4,24.01,0.01),'score')
 g1=st.sidebar.radio('climate',['hot and humid','hot and dry','cold','moderate and humid'])
+
+
 jahat['low']=fuzz.trimf(jahat.universe,[0,5,12])
 jahat['medium']=fuzz.trimf(jahat.universe,[5,12,17.5])
 jahat['re_hight']=fuzz.trimf(jahat.universe,[12,17.5,25])
@@ -186,43 +193,62 @@ r52,
 r53,r54,r55,r56,r57,r58,r59])
 cs1=crt.ControlSystemSimulation(cs)
 
+width=st.sidebar.slider("width",min_value=1,max_value=10,step=1,value=5)
+length=st.sidebar.slider("length",min_value=1,max_value=10,step=1,value=8)
+c1=cs1.input['c']=length/width
+
 
-c1=cs1.input['c']=st.sidebar.slider("tanasobat",min_value=0.1,max_value=4.0,step=0.1,value=1.0)
 a1=cs1.input['a']=st.sidebar.slider("jahat",min_value=0.00,max_value=40.00,step=0.1,value=0.0)
 b1=cs1.input['b']=st.sidebar.slider("jerm_hararati",min_value=0.00,max_value=4180.00,step=0.1,value=0.0)
 
 d1=cs1.input['d']=st.sidebar.slider("feshordegi",min_value=0.00,max_value=1.0,step=0.01,value=0.1)
 e1=cs1.input['e']=st.sidebar.slider("ertefa",min_value=2.3,max_value=5.00,step=0.01,value=3.31)
-f1=cs1.input['f']=st.sidebar.slider("wwr",min_value=0.00,max_value=1.00,step=0.01,value=0.20)
-
+height=e1
+f1=cs1.input['f']=st.sidebar.slider("wwr",min_value=0,max_value=100,step=5,value=50)
+wwr= ((f1 - 1) / 99) * 50 + 50
 cs1.compute()
 g11=cs1.output['score']
+g11=round(g11)
 
 # Create axis
-axes = [int(c1*10),10,int(e1)]
- 
-# Create Data
-data = np.ones(axes, dtype=np.bool)
- 
-# Control Tra nsparency
-alpha = 0.9
- 
-# Control colour
-colors = np.empty(axes + [4], dtype=np.float32)
- 
-colors[:] = [1, 0, 0, alpha]  # red
- 
-# Plot figure
-fig = plt.figure()
-ax = fig.add_subplot(111, projection='3d')
-
-# Voxels is used to customizations of the
-# sizes, positions and colors.
-ax.voxels(data, facecolors=colors)
-ax.set_xlim([0,40])
-ax.set_zlim([0,6])
-ax.axis('off')
-st.header('your score is :')
-st.header(g11)
-st.set_option('deprecation.showPyplotGlobalUse', False)
-st.pyplot()
+
+
+st.metric(label="your fuzzy score", value=g11)
+#st.set_option('deprecation.showPyplotGlobalUse', False)
+#st.pyplot()
+
+
+
+# Create sliders to adjust the dimensions
+
+
+
+# Use Plotly to create a 3D cube with the adjusted dimensions
+fig = go.Figure(data=[
+    # Main body of the cube
+    go.Mesh3d(x=[0, width, width, 0, 0, width, width, 0],
+              y=[0, 0, length, length, 0, 0, length, length],
+              z=[0, 0, 0, 0, height, height, height, height],
+              alphahull=0,
+              color='#F5DEB3',
+              opacity=1,
+              lighting=dict(ambient=0.5, diffuse=0.9, roughness=0.1, specular=0.2, fresnel=0.2),
+              flatshading=True,
+              hoverinfo='none'),
+    # Window surface
+    go.Mesh3d(x=[width+0.05,width+0.05,width+0.05,width+0.05],
+              y=[length*(wwr/100), length*(wwr/100), length*(1-wwr/100), length*(1-wwr/100) ],
+              z=[height*(wwr/100), height*(1-wwr/100), height*(1-wwr/100), height*(wwr/100)],
+              i=[2, 3, 0, 1, 0, 3],
+              j=[1, 2, 3, 3, 2, 0],
+              k=[0, 1, 2, 0, 2, 3],
+              color='skyblue',
+              opacity=1,
+              lighting=dict(ambient=0.5, diffuse=0.9, roughness=0.1, specular=0.2, fresnel=0.2),
+              flatshading=True,
+              hoverinfo='none')]
+)
+fig.update_layout(scene=dict(zaxis=dict(visible=False,range=[0,5],autorange=False),xaxis=dict(visible=False,range=[0,10],autorange=False),yaxis=dict(visible=False,range=[0,10],autorange=False)),width=100,height=800)
+
+# Use Streamlit to display the 3D c ube
+st.plotly_chart(fig,use_container_width=True)