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import joblib
import pandas as pd
import streamlit as st
model = joblib.load('model.joblib')
unique_values = joblib.load('unique_values.joblib')
unique_sex = unique_values["sex"]
unique_country = unique_values["country"]
unique_returning = unique_values["returning"]
unique_GImg1 = unique_values["GImg1"]
unique_GImg2 = unique_values["GImg2"]
unique_GImg3 = unique_values["GImg3"]
unique_PImg1 = unique_values["PImg1"]
unique_PImg2 = unique_values["PImg2"]
unique_PImg3 = unique_values["PImg3"]
unique_PImg4= unique_values["PImg4"]
unique_PImg5 = unique_values["PImg5"]
unique_TAudio1 = unique_values["TAudio1"]
unique_TAudio2 = unique_values["TAudio2"]
unique_TAudio3 = unique_values["TAudio3"]
unique_QAudio1 = unique_values["QAudio1"]
unique_QAudio2 = unique_values["QAudio2"]
unique_QAudio3 = unique_values["QAudio3"]
unique_Proxemics = unique_values["Proxemics"]
unique_Authoritative = unique_values["Authoritative .anarchic"]
def main():
st.title("Adult Income")
with st.form("questionaire"):
sex = st.selectbox("Sex",options = unique_sex)
age = st.slider("Age",min_value=10,max_values=100)
country = st.selectbox("Country of the client United Nations admitted countries",options = unique_country)
GImg1 = st.selectbox("Handshake Indifferent",options = unique_GImg1)
GImg2 = st.selectbox("Hug Indifferent",options = unique_GImg2)
GImg3 = st.selectbox("Kiss Indifferent",options = unique_GImg3)
PImg1 = st.selectbox("Consent posture Indifferent",options = unique_PImg1)
PImg2 = st.selectbox("Interest posture Indifferent",options = unique_PImg2)
PImg3 = st.selectbox("Neutral posture Indifferent",options = unique_PImg3)
PImg4 = st.selectbox("Reflexive posture Indifferent",options = unique_PImg4)
PImg5 = st.selectbox("Negative posture Indifferent",options = unique_PImg5)
Tense= st.slider("Observed emotional clime",min_value=1,max_values=10)
Authoritativean = st.selectbox("anarchic Observed emotional clime",options = unique_Authoritativean)
Hostile = st.slider("friendly Observed emotional clime",min_value=1,max_values=10)
TAudio1 = st.selectbox("Authoritative Indifferent",options = unique_TAudio1)
TAudio2 = st.selectbox("Sarcastic Indifferent",options = unique_TAudio2)
TAudio3 = st.selectbox("Friendly Indifferent",options = unique_TAudio3)
QAudio1 = st.selectbox("Spitting Indifferent",options = unique_QAudio1)
QAudio2 = st.selectbox("Hum Indifferent",options = unique_QAudio1)
QAudio3 = st.selectbox("Sigh Indifferent",options = unique_QAudio1)
Proxemics = st.selectbox("Physical distance preferred for the client : A. intimate: 15cm-45cm; B. per-sonal: 46cm-122cm; C. social:123cm-360cm; D. public: > 360cm",options = unique_Proxemics)
# clicked==True only when the button is clicked
clicked = st.form_submit_button("Predict Type of Client")
if clicked:
result=model.predict(pd.DataFrame({"sex":[sex],
"age": [age],
"country": [country],
"GImg1" : [GImg1],
"GImg2" : [GImg2],
"GImg3" : [GImg3],
"PImg1" : [PImg1],
"PImg2" : [PImg2],
"PImg3" : [PImg3],
"PImg4" : [PImg4],
"PImg5" : [PImg5],
"Tense-relaxed" :[Tense],
"Authoritative-anarchic" : [Authoritative],
"Hostile-friendly" : [Hostile],
"TAudio1" : [TAudio1],
"TAudio2" : [TAudio2],
"TAudio3" : [TAudio3],
"QAudio1" : [QAudio1],
"QAudio2" : [QAudio1],
"QAudio3" : [QAudio1],
"Proxemics" : [Proxemics]}))
# Show prediction
result = 'low' if result[0] == 1 else 'high'
st.success("Predict Type of Client is "+result) #แสดงผล
# Run main()
if __name__ == "__main__":
main() |