Upload app.py

app.py

@@ -0,0 +1,49 @@
+import joblib
+import pandas as pd
+import streamlit as st
+
+
+
+model = joblib.load('model_a.joblib')
+unique_values = unique_values = joblib.load('unique_values.joblib')
+    
+unique_store_city =  unique_values["store_city"]
+unique_promotion_name=  unique_values["promotion_name"]
+unique_media_type =  unique_values["media_type"]
+unique_store_type =  unique_values["store_type"]
+unique_sales_country=  unique_values["sales_country"]
+unique_store_state =  unique_values["store_state"]
+
+def main():
+    st.title("Adult Income")
+
+    with st.form("questionaire"):
+        store_sqft = st.slider('store_sqft',min_value=10,max_value=100)
+        store_city = st.selectbox('store_city',options=unique_store_city)
+        promotion_name = st.selectbox('promotion_name',options=unique_promotion_name)
+        media_type  = st.selectbox('media_type ',options=unique_media_type)
+        store_type = st.selectbox('Occupation',options=unique_store_type)
+        sales_country = st.selectbox('Relationship',options=sales_country)
+        store_state = st.selectbox('sales_country',options=unique_store_state)
+        meat_sqft = st.slider('meat_sqft',min_value=1,max_value=100)
+        frozen_sqft = st.slider('frozen_sqft',min_value=1,max_value=100)
+
+        # clicked==True only when the button is clicked
+        clicked = st.form_submit_button("Predict income")
+        if clicked:
+            result=model.predict(pd.DataFrame({"store_sqft": [store_sqft],
+                                               "store_city": [store_city],
+                                               "promotion_name": [promotion_name],
+                                               "media_type": [media_type],
+                                               "store_type ": [store_type ],
+                                               "sales_country": [sales_country],
+                                               "store_state": [store_state],
+                                               "meat_sqft": [meat_sqft],
+                                               "frozen_sqft": [frozen_sqft]}))
+
+            # Show prediction
+           
+            st.success('Your Predicted income is' + result)
+# Run main()
+if __name__ == "__main__":
+    main()