Truong-Phuc Nguyen
commited on
Commit
•
801b22c
1
Parent(s):
753582a
Update app.py
Browse files
app.py
CHANGED
@@ -2,6 +2,11 @@ import pickle
|
|
2 |
import numpy as np
|
3 |
import streamlit as st
|
4 |
from tensorflow.keras.models import load_model
|
|
|
|
|
|
|
|
|
|
|
5 |
|
6 |
def load_essential_models(scaler_6_path, scaler_8_path, scaler_full_path, clf_6_path, clf_8_path, clf_full_path):
|
7 |
scaler_6 = pickle.load(open(file=scaler_6_path, mode='rb'))
|
@@ -20,10 +25,10 @@ def convert_prediction(prediction):
|
|
20 |
else:
|
21 |
return 'L'
|
22 |
|
23 |
-
scaler_6, scaler_8, scaler_21, clf_6, clf_8, clf_21 = load_essential_models(scaler_6_path='./Models/6/scaler.pkl', scaler_8_path='./Models/8/scaler.pkl', scaler_full_path='./Models/21/scaler.pkl', clf_6_path='./Models/6/svc_fs_tune.pkl', clf_8_path='./Models/8/ANN_8.h5', clf_full_path='./Models/21/ANNs_full.h5')
|
24 |
-
|
25 |
st.title('Demo System for Vietnamese Woman Bra Size Classifier')
|
26 |
|
|
|
|
|
27 |
header_col_1, header_col_2 = st.columns([3, 2])
|
28 |
num_of_features = header_col_1.selectbox(label='Please select the number of measurements you have:', options=['6 measurements', '8 measurements', '21 measurements'])
|
29 |
|
@@ -33,126 +38,126 @@ if num_of_features == '6 measurements':
|
|
33 |
sample_options_6 = header_col_2.selectbox(label='Sample options:', options=['Sample 1 (Small)', 'Sample 2 (Medium)', 'Sample 3 (Large)'])
|
34 |
container_col_1, container_col_2, container_col_3 = st.columns([1, 1, 1])
|
35 |
if sample_options_6 == 'Sample 1 (Small)':
|
36 |
-
vtn = container_col_1.number_input(label='
|
37 |
-
vn = container_col_2.number_input(label='
|
38 |
-
vcn = container_col_3.number_input(label='
|
39 |
-
cl = container_col_1.number_input(label='
|
40 |
-
ttp = container_col_2.number_input(label='
|
41 |
-
ttt = container_col_3.number_input(label='
|
42 |
elif sample_options_6 == 'Sample 2 (Medium)':
|
43 |
-
vtn = container_col_1.number_input(label='
|
44 |
-
vn = container_col_2.number_input(label='
|
45 |
-
vcn = container_col_3.number_input(label='
|
46 |
-
cl = container_col_1.number_input(label='
|
47 |
-
ttp = container_col_2.number_input(label='
|
48 |
-
ttt = container_col_3.number_input(label='
|
49 |
else:
|
50 |
-
vtn = container_col_1.number_input(label='
|
51 |
-
vn = container_col_2.number_input(label='
|
52 |
-
vcn = container_col_3.number_input(label='
|
53 |
-
cl = container_col_1.number_input(label='
|
54 |
-
ttp = container_col_2.number_input(label='
|
55 |
-
ttt = container_col_3.number_input(label='
|
56 |
|
57 |
elif num_of_features == '8 measurements':
|
58 |
sample_options_8 = header_col_2.selectbox(label='Sample options:', options=['Sample 1 (Small)', 'Sample 2 (Medium)', 'Sample 3 (Large)'])
|
59 |
container_col_1, container_col_2, container_col_3, container_col_4 = st.columns([1, 1, 1, 1])
|
60 |
if sample_options_8 == 'Sample 1 (Small)':
|
61 |
-
ttp = container_col_1.number_input(label='
|
62 |
-
cl = container_col_2.number_input(label='
|
63 |
-
cnnp = container_col_3.number_input(label='
|
64 |
-
vn = container_col_4.number_input(label='
|
65 |
-
vtn = container_col_1.number_input(label='
|
66 |
-
cnnt = container_col_2.number_input(label='
|
67 |
-
cntp = container_col_3.number_input(label='
|
68 |
-
vcn = container_col_4.number_input(label='
|
69 |
elif sample_options_8 == 'Sample 2 (Medium)':
|
70 |
-
ttp = container_col_1.number_input(label='
|
71 |
-
cl = container_col_2.number_input(label='
|
72 |
-
cnnp = container_col_3.number_input(label='
|
73 |
-
vn = container_col_4.number_input(label='
|
74 |
-
vtn = container_col_1.number_input(label='
|
75 |
-
cnnt = container_col_2.number_input(label='
|
76 |
-
cntp = container_col_3.number_input(label='
|
77 |
-
vcn = container_col_4.number_input(label='
|
78 |
else:
|
79 |
-
ttp = container_col_1.number_input(label='
|
80 |
-
cl = container_col_2.number_input(label='
|
81 |
-
cnnp = container_col_3.number_input(label='
|
82 |
-
vn = container_col_4.number_input(label='
|
83 |
-
vtn = container_col_1.number_input(label='
|
84 |
-
cnnt = container_col_2.number_input(label='
|
85 |
-
cntp = container_col_3.number_input(label='
|
86 |
-
vcn = container_col_4.number_input(label='
|
87 |
else:
|
88 |
sample_options_21 = header_col_2.selectbox(label='Sample options:', options=['Sample 1 (Small)', 'Sample 2 (Medium)', 'Sample 3 (Large)'])
|
89 |
container_col_1, container_col_2, container_col_3, container_col_4, container_col_5 = st.columns([1, 1, 1, 1, 1])
|
90 |
if sample_options_21 == 'Sample 1 (Small)':
|
91 |
-
h = container_col_1.number_input(label='
|
92 |
-
w = container_col_2.number_input(label='
|
93 |
-
bmi = container_col_3.number_input(label='
|
94 |
-
vtn = container_col_4.number_input(label='
|
95 |
-
vn = container_col_5.number_input(label='
|
96 |
-
vcn = container_col_1.number_input(label='
|
97 |
-
cn = container_col_2.number_input(label='
|
98 |
-
cnnp = container_col_3.number_input(label='
|
99 |
-
cnnt = container_col_4.number_input(label='
|
100 |
-
cntp = container_col_5.number_input(label='
|
101 |
-
cntt = container_col_1.number_input(label='
|
102 |
-
ccnp = container_col_2.number_input(label='
|
103 |
-
ccnt = container_col_3.number_input(label='
|
104 |
-
snt = container_col_4.number_input(label='
|
105 |
-
sndp = container_col_5.number_input(label='
|
106 |
-
sndt = container_col_1.number_input(label='
|
107 |
-
xup = container_col_2.number_input(label='
|
108 |
-
xut = container_col_3.number_input(label='
|
109 |
-
cl = container_col_4.number_input(label='
|
110 |
-
ttp = container_col_5.number_input(label='
|
111 |
-
ttt = container_col_3.number_input(label='
|
112 |
elif sample_options_21 == 'Sample 2 (Medium)':
|
113 |
-
h = container_col_1.number_input(label='
|
114 |
-
w = container_col_2.number_input(label='
|
115 |
-
bmi = container_col_3.number_input(label='
|
116 |
-
vtn = container_col_4.number_input(label='
|
117 |
-
vn = container_col_5.number_input(label='
|
118 |
-
vcn = container_col_1.number_input(label='
|
119 |
-
cn = container_col_2.number_input(label='
|
120 |
-
cnnp = container_col_3.number_input(label='
|
121 |
-
cnnt = container_col_4.number_input(label='
|
122 |
-
cntp = container_col_5.number_input(label='
|
123 |
-
cntt = container_col_1.number_input(label='
|
124 |
-
ccnp = container_col_2.number_input(label='
|
125 |
-
ccnt = container_col_3.number_input(label='
|
126 |
-
snt = container_col_4.number_input(label='
|
127 |
-
sndp = container_col_5.number_input(label='
|
128 |
-
sndt = container_col_1.number_input(label='
|
129 |
-
xup = container_col_2.number_input(label='
|
130 |
-
xut = container_col_3.number_input(label='
|
131 |
-
cl = container_col_4.number_input(label='
|
132 |
-
ttp = container_col_5.number_input(label='
|
133 |
-
ttt = container_col_3.number_input(label='
|
134 |
else:
|
135 |
-
h = container_col_1.number_input(label='
|
136 |
-
w = container_col_2.number_input(label='
|
137 |
-
bmi = container_col_3.number_input(label='
|
138 |
-
vtn = container_col_4.number_input(label='
|
139 |
-
vn = container_col_5.number_input(label='
|
140 |
-
vcn = container_col_1.number_input(label='
|
141 |
-
cn = container_col_2.number_input(label='
|
142 |
-
cnnp = container_col_3.number_input(label='
|
143 |
-
cnnt = container_col_4.number_input(label='
|
144 |
-
cntp = container_col_5.number_input(label='
|
145 |
-
cntt = container_col_1.number_input(label='
|
146 |
-
ccnp = container_col_2.number_input(label='
|
147 |
-
ccnt = container_col_3.number_input(label='
|
148 |
-
snt = container_col_4.number_input(label='
|
149 |
-
sndp = container_col_5.number_input(label='
|
150 |
-
sndt = container_col_1.number_input(label='
|
151 |
-
xup = container_col_2.number_input(label='
|
152 |
-
xut = container_col_3.number_input(label='
|
153 |
-
cl = container_col_4.number_input(label='
|
154 |
-
ttp = container_col_5.number_input(label='
|
155 |
-
ttt = container_col_3.number_input(label='
|
156 |
|
157 |
col_1, col_2, col_3, col_4, col_5 = st.columns([1, 1, 1, 1, 1])
|
158 |
|
|
|
2 |
import numpy as np
|
3 |
import streamlit as st
|
4 |
from tensorflow.keras.models import load_model
|
5 |
+
import warnings
|
6 |
+
|
7 |
+
warnings.filterwarnings("ignore", category=UserWarning)
|
8 |
+
|
9 |
+
st.set_page_config(layout='wide')
|
10 |
|
11 |
def load_essential_models(scaler_6_path, scaler_8_path, scaler_full_path, clf_6_path, clf_8_path, clf_full_path):
|
12 |
scaler_6 = pickle.load(open(file=scaler_6_path, mode='rb'))
|
|
|
25 |
else:
|
26 |
return 'L'
|
27 |
|
|
|
|
|
28 |
st.title('Demo System for Vietnamese Woman Bra Size Classifier')
|
29 |
|
30 |
+
scaler_6, scaler_8, scaler_21, clf_6, clf_8, clf_21 = load_essential_models(scaler_6_path='./Models/6/scaler.pkl', scaler_8_path='./Models/8/scaler.pkl', scaler_full_path='./Models/21/scaler.pkl', clf_6_path='./Models/6/svc_fs_tune.pkl', clf_8_path='./Models/8/ANN_8.h5', clf_full_path='./Models/21/ANNs_full.h5')
|
31 |
+
|
32 |
header_col_1, header_col_2 = st.columns([3, 2])
|
33 |
num_of_features = header_col_1.selectbox(label='Please select the number of measurements you have:', options=['6 measurements', '8 measurements', '21 measurements'])
|
34 |
|
|
|
38 |
sample_options_6 = header_col_2.selectbox(label='Sample options:', options=['Sample 1 (Small)', 'Sample 2 (Medium)', 'Sample 3 (Large)'])
|
39 |
container_col_1, container_col_2, container_col_3 = st.columns([1, 1, 1])
|
40 |
if sample_options_6 == 'Sample 1 (Small)':
|
41 |
+
vtn = container_col_1.number_input(label='Upper bust circumference (cm):', value=82.00, min_value=0.00, step=0.01)
|
42 |
+
vn = container_col_2.number_input(label='Bust circumference (cm):', value=82.40, min_value=0.00, step=0.01)
|
43 |
+
vcn = container_col_3.number_input(label='Chest circumference (cm):', value=73.10, min_value=0.00, step=0.01)
|
44 |
+
cl = container_col_1.number_input(label='Size difference (cm):', value=9.30, min_value=0.00, step=0.01)
|
45 |
+
ttp = container_col_2.number_input(label='Volume of right breast (cm3):', value=325.6, min_value=0.00, step=0.01)
|
46 |
+
ttt = container_col_3.number_input(label='Volume of left breast (cm3):', value=325.6, min_value=0.00, step=0.01)
|
47 |
elif sample_options_6 == 'Sample 2 (Medium)':
|
48 |
+
vtn = container_col_1.number_input(label='Upper bust circumference (cm):', value=77.20, min_value=0.00, step=0.01)
|
49 |
+
vn = container_col_2.number_input(label='Bust circumference (cm):', value=78.60, min_value=0.00, step=0.01)
|
50 |
+
vcn = container_col_3.number_input(label='Chest circumference (cm):', value=66.50, min_value=0.00, step=0.01)
|
51 |
+
cl = container_col_1.number_input(label='Size difference (cm):', value=12.10, min_value=0.00, step=0.01)
|
52 |
+
ttp = container_col_2.number_input(label='Volume of right breast (cm3):', value=388.80, min_value=0.00, step=0.01)
|
53 |
+
ttt = container_col_3.number_input(label='Volume of left breast (cm3):', value=324.60, min_value=0.00, step=0.01)
|
54 |
else:
|
55 |
+
vtn = container_col_1.number_input(label='Upper bust circumference (cm):', value=86.50, min_value=0.00, step=0.01)
|
56 |
+
vn = container_col_2.number_input(label='Bust circumference (cm):', value=88.00, min_value=0.00, step=0.01)
|
57 |
+
vcn = container_col_3.number_input(label='Chest circumference (cm):', value=74.00, min_value=0.00, step=0.01)
|
58 |
+
cl = container_col_1.number_input(label='Size difference (cm):', value=14.00, min_value=0.00, step=0.01)
|
59 |
+
ttp = container_col_2.number_input(label='Volume of right breast (cm3):', value=451.30, min_value=0.00, step=0.01)
|
60 |
+
ttt = container_col_3.number_input(label='Volume of left breast (cm3):', value=471.60, min_value=0.00, step=0.01)
|
61 |
|
62 |
elif num_of_features == '8 measurements':
|
63 |
sample_options_8 = header_col_2.selectbox(label='Sample options:', options=['Sample 1 (Small)', 'Sample 2 (Medium)', 'Sample 3 (Large)'])
|
64 |
container_col_1, container_col_2, container_col_3, container_col_4 = st.columns([1, 1, 1, 1])
|
65 |
if sample_options_8 == 'Sample 1 (Small)':
|
66 |
+
ttp = container_col_1.number_input(label='Volume of right breast (cm3):', value=287.50, min_value=0.00, step=0.01)
|
67 |
+
cl = container_col_2.number_input(label='Size difference (cm):', value=7.00, min_value=0.00, step=0.01)
|
68 |
+
cnnp = container_col_3.number_input(label='Outer right breast curve (cm):', value=8.50, min_value=0.00, step=0.01)
|
69 |
+
vn = container_col_4.number_input(label='Bust circumference (cm):', value=74.50, min_value=0.00, step=0.01)
|
70 |
+
vtn = container_col_1.number_input(label='Upper bust circumference (cm):', value=74.00, min_value=0.00, step=0.01)
|
71 |
+
cnnt = container_col_2.number_input(label='Outer left breast curve (cm):', value=8.90, min_value=0.00, step=0.01)
|
72 |
+
cntp = container_col_3.number_input(label='Inner right breast curve (cm):', value=8.50, min_value=0.00, step=0.01)
|
73 |
+
vcn = container_col_4.number_input(label='Chest circumference (cm):', value=67.50, min_value=0.00, step=0.01)
|
74 |
elif sample_options_8 == 'Sample 2 (Medium)':
|
75 |
+
ttp = container_col_1.number_input(label='Volume of right breast (cm3):', value=489.60, min_value=0.00, step=0.01)
|
76 |
+
cl = container_col_2.number_input(label='Size difference (cm):', value=13.00, min_value=0.00, step=0.01)
|
77 |
+
cnnp = container_col_3.number_input(label='Outer right breast curve (cm):', value=12.40, min_value=0.00, step=0.01)
|
78 |
+
vn = container_col_4.number_input(label='Bust circumference (cm):', value=78.30, min_value=0.00, step=0.01)
|
79 |
+
vtn = container_col_1.number_input(label='Upper bust circumference (cm):', value=77.20, min_value=0.00, step=0.01)
|
80 |
+
cnnt = container_col_2.number_input(label='Outer left breast curve (cm):', value=11.60, min_value=0.00, step=0.01)
|
81 |
+
cntp = container_col_3.number_input(label='Inner right breast curve (cm):', value=8.70, min_value=0.00, step=0.01)
|
82 |
+
vcn = container_col_4.number_input(label='Chest circumference (cm):', value=65.30, min_value=0.00, step=0.01)
|
83 |
else:
|
84 |
+
ttp = container_col_1.number_input(label='Volume of right breast (cm3):', value=568.2, min_value=0.00, step=0.01)
|
85 |
+
cl = container_col_2.number_input(label='Size difference (cm):', value=13.7, min_value=0.00, step=0.01)
|
86 |
+
cnnp = container_col_3.number_input(label='Outer right breast curve (cm):', value=14.0, min_value=0.00, step=0.01)
|
87 |
+
vn = container_col_4.number_input(label='Bust circumference (cm):', value=88.7, min_value=0.00, step=0.01)
|
88 |
+
vtn = container_col_1.number_input(label='Upper bust circumference (cm):', value=86.5, min_value=0.00, step=0.01)
|
89 |
+
cnnt = container_col_2.number_input(label='Outer left breast curve (cm):', value=12.5, min_value=0.00, step=0.01)
|
90 |
+
cntp = container_col_3.number_input(label='Inner right breast curve (cm):', value=10.7, min_value=0.00, step=0.01)
|
91 |
+
vcn = container_col_4.number_input(label='Chest circumference (cm):', value=75.0, min_value=0.00, step=0.01)
|
92 |
else:
|
93 |
sample_options_21 = header_col_2.selectbox(label='Sample options:', options=['Sample 1 (Small)', 'Sample 2 (Medium)', 'Sample 3 (Large)'])
|
94 |
container_col_1, container_col_2, container_col_3, container_col_4, container_col_5 = st.columns([1, 1, 1, 1, 1])
|
95 |
if sample_options_21 == 'Sample 1 (Small)':
|
96 |
+
h = container_col_1.number_input(label='Height (cm):', value=158.50, min_value=0.00, step=0.01)
|
97 |
+
w = container_col_2.number_input(label='Weight (kg):', value=44.00, min_value=0.00, step=0.01)
|
98 |
+
bmi = container_col_3.number_input(label='BMI (kg/h^2):', value=17.50, min_value=0.00, step=0.01)
|
99 |
+
vtn = container_col_4.number_input(label='Upper bust circumference (cm): ', value=75.40, min_value=0.00, step=0.01)
|
100 |
+
vn = container_col_5.number_input(label='Bust circumference (cm):', value=81.10, min_value=0.00, step=0.01)
|
101 |
+
vcn = container_col_1.number_input(label='Chest circumference (cm):', value=74.80, min_value=0.00, step=0.01)
|
102 |
+
cn = container_col_2.number_input(label='Distance between nipple points (cm):', value=14.50, min_value=0.00, step=0.01)
|
103 |
+
cnnp = container_col_3.number_input(label='Outer right breast curve (cm):', value=13.80, min_value=0.00, step=0.01)
|
104 |
+
cnnt = container_col_4.number_input(label='Outer left breast curve (cm):', value=14.40, min_value=0.00, step=0.01)
|
105 |
+
cntp = container_col_5.number_input(label='Inner right breast curve (cm):', value=8.60, min_value=0.00, step=0.01)
|
106 |
+
cntt = container_col_1.number_input(label='Inner left breast curve (cm):', value=8.40, min_value=0.00, step=0.01)
|
107 |
+
ccnp = container_col_2.number_input(label='Right breast curve (cm):', value=21.50, min_value=0.00, step=0.01)
|
108 |
+
ccnt = container_col_3.number_input(label='Left breast curve (cm):', value=21.20, min_value=0.00, step=0.01)
|
109 |
+
snt = container_col_4.number_input(label='Upper breast projection (cm):', value=8.90, min_value=0.00, step=0.01)
|
110 |
+
sndp = container_col_5.number_input(label='Lower right breast projection (cm):', value=6.50, min_value=0.00, step=0.01)
|
111 |
+
sndt = container_col_1.number_input(label='Lower left breast projection (cm):', value=6.50, min_value=0.00, step=0.01)
|
112 |
+
xup = container_col_2.number_input(label='Distance from sternum to right nipple point (cm):', value=21.80, min_value=0.00, step=0.01)
|
113 |
+
xut = container_col_3.number_input(label='Distance from sternum to left nipple point (cm):', value=21.10, min_value=0.00, step=0.01)
|
114 |
+
cl = container_col_4.number_input(label='Size difference (cm):', value=6.30, min_value=0.00, step=0.01)
|
115 |
+
ttp = container_col_5.number_input(label='Volume of right breast (cm3):', value=325.10, min_value=0.00, step=0.01)
|
116 |
+
ttt = container_col_3.number_input(label='Volume of left breast (cm3):', value=335.70, min_value=0.00, step=0.01)
|
117 |
elif sample_options_21 == 'Sample 2 (Medium)':
|
118 |
+
h = container_col_1.number_input(label='Height (cm):', value=163.00, min_value=0.00, step=0.01)
|
119 |
+
w = container_col_2.number_input(label='Weight (kg):', value=43.00, min_value=0.00, step=0.01)
|
120 |
+
bmi = container_col_3.number_input(label='BMI (kg/h^2):', value=16.20, min_value=0.00, step=0.01)
|
121 |
+
vtn = container_col_4.number_input(label='Upper bust circumference (cm): ', value=76.00, min_value=0.00, step=0.01)
|
122 |
+
vn = container_col_5.number_input(label='Bust circumference (cm):', value=79.00, min_value=0.00, step=0.01)
|
123 |
+
vcn = container_col_1.number_input(label='Chest circumference (cm):', value=64.00, min_value=0.00, step=0.01)
|
124 |
+
cn = container_col_2.number_input(label='Distance between nipple points (cm):', value=16.50, min_value=0.00, step=0.01)
|
125 |
+
cnnp = container_col_3.number_input(label='Outer right breast curve (cm):', value=13.10, min_value=0.00, step=0.01)
|
126 |
+
cnnt = container_col_4.number_input(label='Outer left breast curve (cm):', value=12.60, min_value=0.00, step=0.01)
|
127 |
+
cntp = container_col_5.number_input(label='Inner right breast curve (cm):', value=9.20, min_value=0.00, step=0.01)
|
128 |
+
cntt = container_col_1.number_input(label='Inner left breast curve (cm):', value=9.10, min_value=0.00, step=0.01)
|
129 |
+
ccnp = container_col_2.number_input(label='Right breast curve (cm):', value=19.80, min_value=0.00, step=0.01)
|
130 |
+
ccnt = container_col_3.number_input(label='Left breast curve (cm):', value=18.20, min_value=0.00, step=0.01)
|
131 |
+
snt = container_col_4.number_input(label='Upper breast projection (cm):', value=8.40, min_value=0.00, step=0.01)
|
132 |
+
sndp = container_col_5.number_input(label='Lower right breast projection (cm):', value=3.50, min_value=0.00, step=0.01)
|
133 |
+
sndt = container_col_1.number_input(label='Lower left breast projection (cm):', value=3.70, min_value=0.00, step=0.01)
|
134 |
+
xup = container_col_2.number_input(label='Distance from sternum to right nipple point (cm):', value=21.00, min_value=0.00, step=0.01)
|
135 |
+
xut = container_col_3.number_input(label='Distance from sternum to left nipple point (cm):', value=20.50, min_value=0.00, step=0.01)
|
136 |
+
cl = container_col_4.number_input(label='Size difference (cm):', value=15.00, min_value=0.00, step=0.01)
|
137 |
+
ttp = container_col_5.number_input(label='Volume of right breast (cm3):', value=521.60, min_value=0.00, step=0.01)
|
138 |
+
ttt = container_col_3.number_input(label='Volume of left breast (cm3):', value=513.50, min_value=0.00, step=0.01)
|
139 |
else:
|
140 |
+
h = container_col_1.number_input(label='Height (cm):', value=152.00, min_value=0.00, step=0.01)
|
141 |
+
w = container_col_2.number_input(label='Weight (kg):', value=46.00, min_value=0.00, step=0.01)
|
142 |
+
bmi = container_col_3.number_input(label='BMI (kg/h^2):', value=19.90, min_value=0.00, step=0.01)
|
143 |
+
vtn = container_col_4.number_input(label='Upper bust circumference (cm): ', value=77.50, min_value=0.00, step=0.01)
|
144 |
+
vn = container_col_5.number_input(label='Bust circumference (cm):', value=85.50, min_value=0.00, step=0.01)
|
145 |
+
vcn = container_col_1.number_input(label='Chest circumference (cm):', value=70.40, min_value=0.00, step=0.01)
|
146 |
+
cn = container_col_2.number_input(label='Distance between nipple points (cm):', value=18.90, min_value=0.00, step=0.01)
|
147 |
+
cnnp = container_col_3.number_input(label='Outer right breast curve (cm):', value=13.50, min_value=0.00, step=0.01)
|
148 |
+
cnnt = container_col_4.number_input(label='Outer left breast curve (cm):', value=12.50, min_value=0.00, step=0.01)
|
149 |
+
cntp = container_col_5.number_input(label='Inner right breast curve (cm):', value=10.30, min_value=0.00, step=0.01)
|
150 |
+
cntt = container_col_1.number_input(label='Inner left breast curve (cm):', value=10.50, min_value=0.00, step=0.01)
|
151 |
+
ccnp = container_col_2.number_input(label='Right breast curve (cm):', value=20.40, min_value=0.00, step=0.01)
|
152 |
+
ccnt = container_col_3.number_input(label='Left breast curve (cm):', value=20.10, min_value=0.00, step=0.01)
|
153 |
+
snt = container_col_4.number_input(label='Upper breast projection (cm):', value=8.50, min_value=0.00, step=0.01)
|
154 |
+
sndp = container_col_5.number_input(label='Lower right breast projection (cm):', value=5.50, min_value=0.00, step=0.01)
|
155 |
+
sndt = container_col_1.number_input(label='Lower left breast projection (cm):', value=4.20, min_value=0.00, step=0.01)
|
156 |
+
xup = container_col_2.number_input(label='Distance from sternum to right nipple point (cm):', value=19.50, min_value=0.00, step=0.01)
|
157 |
+
xut = container_col_3.number_input(label='Distance from sternum to left nipple point (cm):', value=20.50, min_value=0.00, step=0.01)
|
158 |
+
cl = container_col_4.number_input(label='Size difference (cm):', value=15.10, min_value=0.00, step=0.01)
|
159 |
+
ttp = container_col_5.number_input(label='Volume of right breast (cm3):', value=625.80, min_value=0.00, step=0.01)
|
160 |
+
ttt = container_col_3.number_input(label='Volume of left breast (cm3):', value=585.40, min_value=0.00, step=0.01)
|
161 |
|
162 |
col_1, col_2, col_3, col_4, col_5 = st.columns([1, 1, 1, 1, 1])
|
163 |
|