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Upload app.py
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app.py
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import joblib
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import pandas as pd
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model = joblib.load('model.joblib')
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unique_values = joblib.load('unique_values.joblib')
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unique_sex = unique_values["sex"]
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unique_country = unique_values["country"]
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unique_returning = unique_values["returning"]
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unique_GImg1 = unique_values["GImg1"]
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unique_GImg2 = unique_values["GImg2"]
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unique_GImg3 = unique_values["GImg3"]
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unique_PImg1 = unique_values["PImg1"]
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unique_PImg2 = unique_values["PImg2"]
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unique_PImg3 = unique_values["PImg3"]
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unique_PImg4= unique_values["PImg4"]
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unique_PImg5 = unique_values["PImg5"]
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unique_TAudio1 = unique_values["TAudio1"]
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unique_TAudio2 = unique_values["TAudio2"]
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unique_TAudio3 = unique_values["TAudio3"]
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unique_QAudio1 = unique_values["QAudio1"]
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unique_QAudio2 = unique_values["QAudio2"]
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unique_QAudio3 = unique_values["QAudio3"]
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unique_Proxemics = unique_values["Proxemics"]
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def main():
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st.title("non-verbal tourist data")
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with st.form("questionaire"):
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sex = st.selectbox("Sex",options = unique_sex)
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age = st.slider("Age",min_value=10,max_values=100)
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country = st.selectbox("Country of the client United Nations admitted countries",options = unique_country)
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GImg1 = st.selectbox("Handshake Indifferent",options = unique_GImg1)
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GImg2 = st.selectbox("Hug Indifferent",options = unique_GImg2)
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GImg3 = st.selectbox("Kiss Indifferent",options = unique_GImg3)
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PImg1 = st.selectbox("Consent posture Indifferent",options = unique_PImg1)
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PImg2 = st.selectbox("Interest posture Indifferent",options = unique_PImg2)
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PImg3 = st.selectbox("Neutral posture Indifferent",options = unique_PImg3)
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PImg4 = st.selectbox("Reflexive posture Indifferent",options = unique_PImg4)
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PImg5 = st.selectbox("Negative posture Indifferent",options = unique_PImg5)
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relaxed = st.slider("Observed emotional clime",min_value=1,max_values=10)
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Authoritative_anarchic = st.slider("anarchic Observed emotional clime",min_value=1,max_values=10)
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Hostile_friendly = st.slider("friendly Observed emotional clime",min_value=1,max_values=10)
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TAudio1 = st.selectbox("Authoritative Indifferent",options = unique_TAudio1)
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TAudio2 = st.selectbox("Sarcastic Indifferent",options = unique_TAudio2)
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TAudio3 = st.selectbox("Friendly Indifferent",options = unique_TAudio3)
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QAudio1 = st.selectbox("Spitting Indifferent",options = unique_QAudio1)
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QAudio2 = st.selectbox("Hum Indifferent",options = unique_QAudio1)
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QAudio3 = st.selectbox("Sigh Indifferent",options = unique_QAudio1)
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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)
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clicked = st.form_submit_button("Predict Type of Client")
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if clicked:
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result=model.predict(pd.DataFrame({"sex":[sex]
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"age": [age],
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"country"= [country]
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"GImg1" = [GImg1]
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"GImg2" = [GImg2]
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"GImg3" = [GImg3]
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"PImg1" = [PImg1]
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"PImg2" = [PImg2]
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"PImg3" = [PImg3]
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"PImg4" = [PImg4]
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"PImg5" = [PImg5]
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"Tense-relaxed" = [relaxed]
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"Authoritative-anarchic" = [Authoritative_anarchic]
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"Hostile-friendly" = [Hostile_friendly]
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"TAudio1" =[TAudio1]
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"TAudio2" = [TAudio2]
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"TAudio3" = [TAudio3]
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"QAudio1" = [QAudio1]
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"QAudio2" = [QAudio1]
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"QAudio3" = [QAudio1]
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"Proxemics" = [Proxemics]
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st.success("Predict Type of Client" + result)
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if __name__ == "__main__" :
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main()
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