Create app.py

app.py

@@ -0,0 +1,51 @@
+import streamlit as st
+def main():
+    set_session_state()
+    def display_list_and_input():
+        option_choice = st.selectbox("Select a property address", df_options)
+        return option_choice
+    
+    
+    if 'user_select_value' not in st.session_state:
+        st.session_state['user_select_value'] = ""
+    if 'year_buit' not in st.session_state:
+        st.session_state['year_buit'] = 1990
+    if 'execution_dates' not in st.session_state:
+        st.session_state['execution_dates'] = 2014
+    if 'LSF' not in st.session_state:
+        st.session_state['LSF'] = 75000
+    
+    st.title("Search")
+    df_properties = pd.read_csv("market_underwriting_pred.csv", encoding='utf-8')
+    # df_options = df_Atlanta.google_ola.values[:]
+    df_options = st.session_state.get("df_options", [st.session_state['user_select_value']] + df_properties.google_ola.tolist())
+    
+    # search_options = [""] + options
+    selected_option = display_list_and_input()
+    
+    
+    # Checkbox
+    option1 = st.checkbox("Functionality problems", value=False) 
+    option2 = st.checkbox("Special tax area", value=False)
+    # special parameters free text
+    user_input = st.text_input("Enter special parameters of the building:")
+    
+    if st.button("Submit"):
+        st.session_state['user_select_value'] = selected_option
+        st.session_state['year_buit'] = 1990
+        st.session_state['execution_dates'] = 2014
+        st.session_state['LSF'] = 75000
+        market_val, submarket_val = get_market_submarket(df_properties, selected_option)
+        st.write(market_val)
+        st.write(submarket_val)
+    
+    
+    if st.button("Home"):
+        st.switch_page("your_app.py")
+    if st.button("Page 1"):
+        st.switch_page("pages/page_1.py")
+    if st.button("Page 2"):
+        st.switch_page("pages/page_2.py")
+
+if __name__ == "__main__":
+    main()