Update app.py

app.py

@@ -1,14 +1,12 @@
 from cmath import pi
 from json import load, tool
 from os import stat
-#from telnetlib import RCP
 import streamlit as st
 import pandas as pd
 import numpy as np
 import pydeck as pdk
 from typing import Dict, Union
 import streamlit.components.v1 as components
-#import streamlit_shared_funcs as my
 
 st.title("Live 3D Map")
 location = st.checkbox('Location Filter')
@@ -31,12 +29,9 @@ queried_female = st.checkbox("Female",value=True)
 
 @st.cache(allow_output_mutation=True)
 def gen_load() -> pd.DataFrame:
-    #df = my.get_data()
     df = pd.read_csv('US.txt')
     return df
 
-#AI Emotional State Score: Anxiety, Confusion, Trepidation, Fear, Guilt
-
 import streamlit as st
 import pandas as pd
 import pydeck as pdk
@@ -49,22 +44,23 @@ def ShowCityDataframe(uscities, US):
     st.title("City FIPS, Location, and Population")
     st.text("Search for any city in the United States:")
 
-    # Search query for existing data
     search_query = st.text_input(label="City Name", value="")
     if search_query != "":
         df = df1[df1["city"].str.contains(search_query, case=False)]
     st.subheader("City Detail")
     st.write(df)
     
-    # Search query for new data
     search_query2 = st.text_input(label="Zip Code", value="")
     if search_query2 != "":
         df = df2[df2["zips"].str.contains(search_query2, case=False)]
     st.subheader("Zip Code Area Detail")
     st.write(df)
 
-uscities = "uscities.csv"  # CSV - City area latitude, longitude and polygon, along with zip list
-US = "US.txt"  # TSV - 
+uscities = "uscities.csv"  # CSV - Columns are: "city","city_ascii","state_id","state_name","county_fips","county_name","lat","lng","population","density","source","military","incorporated","timezone","ranking","zips","id"
+US = "US.txt"   # TSV - Columns are: Country	Zip	City	State	Area	AreaCode	Latitude	Longitude	Include
+                # TSV Columns sample:       US	99553	Akutan	Alaska	AK	Aleutians East	013			54.143	-165.7854	1
+us-zip-codes = "us-zip-code-latitude-and-longitude.txt"  # SSV - Columns are:  Zip;City;State;Latitude;Longitude;Timezone;Daylight savings time flag;geopoint
+                # SSV Columns sample:       71937;Cove;AR;34.398483;-94.39398;-6;1;34.398483,-94.39398
 
 ShowCityDataframe(uscities, US)