Delete app1.py

app1.py

@@ -1,85 +0,0 @@
-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("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)
-        Authoritativean_archic = st.selectbox("anarchic Observed emotional clime",options = unique_Authoritative)
-        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]}))
-                                               
-            # 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()