Truong-Phuc Nguyen commited on
Update app.py
Browse files
app.py
CHANGED
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@@ -2,6 +2,11 @@ import pickle
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import numpy as np
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import streamlit as st
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from tensorflow.keras.models import load_model
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def load_essential_models(scaler_6_path, scaler_8_path, scaler_full_path, clf_6_path, clf_8_path, clf_full_path):
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scaler_6 = pickle.load(open(file=scaler_6_path, mode='rb'))
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@@ -20,10 +25,10 @@ def convert_prediction(prediction):
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else:
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return 'L'
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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')
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st.title('Demo System for Vietnamese Woman Bra Size Classifier')
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header_col_1, header_col_2 = st.columns([3, 2])
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num_of_features = header_col_1.selectbox(label='Please select the number of measurements you have:', options=['6 measurements', '8 measurements', '21 measurements'])
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@@ -33,126 +38,126 @@ if num_of_features == '6 measurements':
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sample_options_6 = header_col_2.selectbox(label='Sample options:', options=['Sample 1 (Small)', 'Sample 2 (Medium)', 'Sample 3 (Large)'])
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container_col_1, container_col_2, container_col_3 = st.columns([1, 1, 1])
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if sample_options_6 == 'Sample 1 (Small)':
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vtn = container_col_1.number_input(label='
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vn = container_col_2.number_input(label='
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vcn = container_col_3.number_input(label='
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cl = container_col_1.number_input(label='
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ttp = container_col_2.number_input(label='
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ttt = container_col_3.number_input(label='
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elif sample_options_6 == 'Sample 2 (Medium)':
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vtn = container_col_1.number_input(label='
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vn = container_col_2.number_input(label='
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vcn = container_col_3.number_input(label='
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cl = container_col_1.number_input(label='
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ttp = container_col_2.number_input(label='
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ttt = container_col_3.number_input(label='
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else:
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vtn = container_col_1.number_input(label='
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vn = container_col_2.number_input(label='
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vcn = container_col_3.number_input(label='
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cl = container_col_1.number_input(label='
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ttp = container_col_2.number_input(label='
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ttt = container_col_3.number_input(label='
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elif num_of_features == '8 measurements':
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sample_options_8 = header_col_2.selectbox(label='Sample options:', options=['Sample 1 (Small)', 'Sample 2 (Medium)', 'Sample 3 (Large)'])
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container_col_1, container_col_2, container_col_3, container_col_4 = st.columns([1, 1, 1, 1])
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if sample_options_8 == 'Sample 1 (Small)':
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ttp = container_col_1.number_input(label='
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cl = container_col_2.number_input(label='
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cnnp = container_col_3.number_input(label='
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vn = container_col_4.number_input(label='
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vtn = container_col_1.number_input(label='
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cnnt = container_col_2.number_input(label='
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cntp = container_col_3.number_input(label='
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vcn = container_col_4.number_input(label='
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elif sample_options_8 == 'Sample 2 (Medium)':
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ttp = container_col_1.number_input(label='
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cl = container_col_2.number_input(label='
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cnnp = container_col_3.number_input(label='
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vn = container_col_4.number_input(label='
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vtn = container_col_1.number_input(label='
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cnnt = container_col_2.number_input(label='
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cntp = container_col_3.number_input(label='
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vcn = container_col_4.number_input(label='
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else:
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ttp = container_col_1.number_input(label='
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cl = container_col_2.number_input(label='
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cnnp = container_col_3.number_input(label='
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vn = container_col_4.number_input(label='
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vtn = container_col_1.number_input(label='
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cnnt = container_col_2.number_input(label='
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cntp = container_col_3.number_input(label='
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vcn = container_col_4.number_input(label='
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else:
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sample_options_21 = header_col_2.selectbox(label='Sample options:', options=['Sample 1 (Small)', 'Sample 2 (Medium)', 'Sample 3 (Large)'])
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container_col_1, container_col_2, container_col_3, container_col_4, container_col_5 = st.columns([1, 1, 1, 1, 1])
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if sample_options_21 == 'Sample 1 (Small)':
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h = container_col_1.number_input(label='
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w = container_col_2.number_input(label='
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bmi = container_col_3.number_input(label='
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vtn = container_col_4.number_input(label='
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vn = container_col_5.number_input(label='
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vcn = container_col_1.number_input(label='
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cn = container_col_2.number_input(label='
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cnnp = container_col_3.number_input(label='
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cnnt = container_col_4.number_input(label='
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cntp = container_col_5.number_input(label='
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cntt = container_col_1.number_input(label='
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ccnp = container_col_2.number_input(label='
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ccnt = container_col_3.number_input(label='
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snt = container_col_4.number_input(label='
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sndp = container_col_5.number_input(label='
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sndt = container_col_1.number_input(label='
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xup = container_col_2.number_input(label='
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xut = container_col_3.number_input(label='
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cl = container_col_4.number_input(label='
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ttp = container_col_5.number_input(label='
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ttt = container_col_3.number_input(label='
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elif sample_options_21 == 'Sample 2 (Medium)':
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h = container_col_1.number_input(label='
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w = container_col_2.number_input(label='
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bmi = container_col_3.number_input(label='
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vtn = container_col_4.number_input(label='
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vn = container_col_5.number_input(label='
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vcn = container_col_1.number_input(label='
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cn = container_col_2.number_input(label='
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cnnp = container_col_3.number_input(label='
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cnnt = container_col_4.number_input(label='
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cntp = container_col_5.number_input(label='
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cntt = container_col_1.number_input(label='
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ccnp = container_col_2.number_input(label='
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ccnt = container_col_3.number_input(label='
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snt = container_col_4.number_input(label='
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sndp = container_col_5.number_input(label='
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sndt = container_col_1.number_input(label='
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xup = container_col_2.number_input(label='
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xut = container_col_3.number_input(label='
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cl = container_col_4.number_input(label='
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ttp = container_col_5.number_input(label='
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ttt = container_col_3.number_input(label='
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else:
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h = container_col_1.number_input(label='
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w = container_col_2.number_input(label='
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bmi = container_col_3.number_input(label='
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vtn = container_col_4.number_input(label='
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vn = container_col_5.number_input(label='
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vcn = container_col_1.number_input(label='
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cn = container_col_2.number_input(label='
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cnnp = container_col_3.number_input(label='
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cnnt = container_col_4.number_input(label='
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cntp = container_col_5.number_input(label='
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cntt = container_col_1.number_input(label='
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ccnp = container_col_2.number_input(label='
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ccnt = container_col_3.number_input(label='
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snt = container_col_4.number_input(label='
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sndp = container_col_5.number_input(label='
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sndt = container_col_1.number_input(label='
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xup = container_col_2.number_input(label='
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xut = container_col_3.number_input(label='
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cl = container_col_4.number_input(label='
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ttp = container_col_5.number_input(label='
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ttt = container_col_3.number_input(label='
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col_1, col_2, col_3, col_4, col_5 = st.columns([1, 1, 1, 1, 1])
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import numpy as np
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import streamlit as st
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from tensorflow.keras.models import load_model
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import warnings
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warnings.filterwarnings("ignore", category=UserWarning)
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st.set_page_config(layout='wide')
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def load_essential_models(scaler_6_path, scaler_8_path, scaler_full_path, clf_6_path, clf_8_path, clf_full_path):
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scaler_6 = pickle.load(open(file=scaler_6_path, mode='rb'))
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else:
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return 'L'
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st.title('Demo System for Vietnamese Woman Bra Size Classifier')
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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')
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header_col_1, header_col_2 = st.columns([3, 2])
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num_of_features = header_col_1.selectbox(label='Please select the number of measurements you have:', options=['6 measurements', '8 measurements', '21 measurements'])
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sample_options_6 = header_col_2.selectbox(label='Sample options:', options=['Sample 1 (Small)', 'Sample 2 (Medium)', 'Sample 3 (Large)'])
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container_col_1, container_col_2, container_col_3 = st.columns([1, 1, 1])
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if sample_options_6 == 'Sample 1 (Small)':
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vtn = container_col_1.number_input(label='Upper bust circumference (cm):', value=82.00, min_value=0.00, step=0.01)
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vn = container_col_2.number_input(label='Bust circumference (cm):', value=82.40, min_value=0.00, step=0.01)
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vcn = container_col_3.number_input(label='Chest circumference (cm):', value=73.10, min_value=0.00, step=0.01)
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cl = container_col_1.number_input(label='Size difference (cm):', value=9.30, min_value=0.00, step=0.01)
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ttp = container_col_2.number_input(label='Volume of right breast (cm3):', value=325.6, min_value=0.00, step=0.01)
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ttt = container_col_3.number_input(label='Volume of left breast (cm3):', value=325.6, min_value=0.00, step=0.01)
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elif sample_options_6 == 'Sample 2 (Medium)':
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vtn = container_col_1.number_input(label='Upper bust circumference (cm):', value=77.20, min_value=0.00, step=0.01)
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vn = container_col_2.number_input(label='Bust circumference (cm):', value=78.60, min_value=0.00, step=0.01)
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vcn = container_col_3.number_input(label='Chest circumference (cm):', value=66.50, min_value=0.00, step=0.01)
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cl = container_col_1.number_input(label='Size difference (cm):', value=12.10, min_value=0.00, step=0.01)
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ttp = container_col_2.number_input(label='Volume of right breast (cm3):', value=388.80, min_value=0.00, step=0.01)
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ttt = container_col_3.number_input(label='Volume of left breast (cm3):', value=324.60, min_value=0.00, step=0.01)
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else:
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vtn = container_col_1.number_input(label='Upper bust circumference (cm):', value=86.50, min_value=0.00, step=0.01)
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vn = container_col_2.number_input(label='Bust circumference (cm):', value=88.00, min_value=0.00, step=0.01)
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vcn = container_col_3.number_input(label='Chest circumference (cm):', value=74.00, min_value=0.00, step=0.01)
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cl = container_col_1.number_input(label='Size difference (cm):', value=14.00, min_value=0.00, step=0.01)
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ttp = container_col_2.number_input(label='Volume of right breast (cm3):', value=451.30, min_value=0.00, step=0.01)
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ttt = container_col_3.number_input(label='Volume of left breast (cm3):', value=471.60, min_value=0.00, step=0.01)
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elif num_of_features == '8 measurements':
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sample_options_8 = header_col_2.selectbox(label='Sample options:', options=['Sample 1 (Small)', 'Sample 2 (Medium)', 'Sample 3 (Large)'])
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container_col_1, container_col_2, container_col_3, container_col_4 = st.columns([1, 1, 1, 1])
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if sample_options_8 == 'Sample 1 (Small)':
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ttp = container_col_1.number_input(label='Volume of right breast (cm3):', value=287.50, min_value=0.00, step=0.01)
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cl = container_col_2.number_input(label='Size difference (cm):', value=7.00, min_value=0.00, step=0.01)
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cnnp = container_col_3.number_input(label='Outer right breast curve (cm):', value=8.50, min_value=0.00, step=0.01)
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vn = container_col_4.number_input(label='Bust circumference (cm):', value=74.50, min_value=0.00, step=0.01)
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vtn = container_col_1.number_input(label='Upper bust circumference (cm):', value=74.00, min_value=0.00, step=0.01)
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cnnt = container_col_2.number_input(label='Outer left breast curve (cm):', value=8.90, min_value=0.00, step=0.01)
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cntp = container_col_3.number_input(label='Inner right breast curve (cm):', value=8.50, min_value=0.00, step=0.01)
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vcn = container_col_4.number_input(label='Chest circumference (cm):', value=67.50, min_value=0.00, step=0.01)
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elif sample_options_8 == 'Sample 2 (Medium)':
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ttp = container_col_1.number_input(label='Volume of right breast (cm3):', value=489.60, min_value=0.00, step=0.01)
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cl = container_col_2.number_input(label='Size difference (cm):', value=13.00, min_value=0.00, step=0.01)
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cnnp = container_col_3.number_input(label='Outer right breast curve (cm):', value=12.40, min_value=0.00, step=0.01)
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vn = container_col_4.number_input(label='Bust circumference (cm):', value=78.30, min_value=0.00, step=0.01)
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vtn = container_col_1.number_input(label='Upper bust circumference (cm):', value=77.20, min_value=0.00, step=0.01)
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cnnt = container_col_2.number_input(label='Outer left breast curve (cm):', value=11.60, min_value=0.00, step=0.01)
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cntp = container_col_3.number_input(label='Inner right breast curve (cm):', value=8.70, min_value=0.00, step=0.01)
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vcn = container_col_4.number_input(label='Chest circumference (cm):', value=65.30, min_value=0.00, step=0.01)
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else:
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ttp = container_col_1.number_input(label='Volume of right breast (cm3):', value=568.2, min_value=0.00, step=0.01)
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cl = container_col_2.number_input(label='Size difference (cm):', value=13.7, min_value=0.00, step=0.01)
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cnnp = container_col_3.number_input(label='Outer right breast curve (cm):', value=14.0, min_value=0.00, step=0.01)
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vn = container_col_4.number_input(label='Bust circumference (cm):', value=88.7, min_value=0.00, step=0.01)
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vtn = container_col_1.number_input(label='Upper bust circumference (cm):', value=86.5, min_value=0.00, step=0.01)
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cnnt = container_col_2.number_input(label='Outer left breast curve (cm):', value=12.5, min_value=0.00, step=0.01)
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cntp = container_col_3.number_input(label='Inner right breast curve (cm):', value=10.7, min_value=0.00, step=0.01)
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vcn = container_col_4.number_input(label='Chest circumference (cm):', value=75.0, min_value=0.00, step=0.01)
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else:
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sample_options_21 = header_col_2.selectbox(label='Sample options:', options=['Sample 1 (Small)', 'Sample 2 (Medium)', 'Sample 3 (Large)'])
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container_col_1, container_col_2, container_col_3, container_col_4, container_col_5 = st.columns([1, 1, 1, 1, 1])
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if sample_options_21 == 'Sample 1 (Small)':
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h = container_col_1.number_input(label='Height (cm):', value=158.50, min_value=0.00, step=0.01)
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w = container_col_2.number_input(label='Weight (kg):', value=44.00, min_value=0.00, step=0.01)
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bmi = container_col_3.number_input(label='BMI (kg/h^2):', value=17.50, min_value=0.00, step=0.01)
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vtn = container_col_4.number_input(label='Upper bust circumference (cm): ', value=75.40, min_value=0.00, step=0.01)
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vn = container_col_5.number_input(label='Bust circumference (cm):', value=81.10, min_value=0.00, step=0.01)
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vcn = container_col_1.number_input(label='Chest circumference (cm):', value=74.80, min_value=0.00, step=0.01)
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cn = container_col_2.number_input(label='Distance between nipple points (cm):', value=14.50, min_value=0.00, step=0.01)
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cnnp = container_col_3.number_input(label='Outer right breast curve (cm):', value=13.80, min_value=0.00, step=0.01)
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cnnt = container_col_4.number_input(label='Outer left breast curve (cm):', value=14.40, min_value=0.00, step=0.01)
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cntp = container_col_5.number_input(label='Inner right breast curve (cm):', value=8.60, min_value=0.00, step=0.01)
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cntt = container_col_1.number_input(label='Inner left breast curve (cm):', value=8.40, min_value=0.00, step=0.01)
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| 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 |
|