import joblib
import pandas as pd

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"]

def main():
    st.title("non-verbal tourist data")

    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)
        relaxed = st.slider("Observed emotional clime",min_value=1,max_values=10)
        Authoritative_anarchic = st.slider("anarchic Observed emotional clime",min_value=1,max_values=10)
        Hostile_friendly = 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 = 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" = [relaxed]
                                               "Authoritative-anarchic" = [Authoritative_anarchic]
                                               "Hostile-friendly" = [Hostile_friendly]
                                               "TAudio1" =[TAudio1]
                                               "TAudio2" = [TAudio2]
                                               "TAudio3" = [TAudio3]
                                               "QAudio1" = [QAudio1]   
                                               "QAudio2" = [QAudio1]   
                                               "QAudio3" = [QAudio1]
                                               "Proxemics" = [Proxemics]
                                               
           st.success("Predict Type of Client" + result)

if __name__ == "__main__" :
    main()