Update app.py

app.py

@@ -37,24 +37,8 @@ def gen_load() -> pd.DataFrame:
 
 #AI Emotional State Score: Anxiety, Confusion, Trepidation, Fear, Guilt
 
-@st.cache(allow_output_mutation=True)
-def gen_load_old() -> pd.DataFrame:
-    # file = pd.read_csv('us-zip-code-latitude-and-longitude.txt',names = ['Zip','City','State','lat','lon','Timezone',"Daylight Savings", "Geo point"], skiprows=1, delimiter=";")
-    filename = "US.txt"
-    file = pd.read_csv(filename,names = ['Country','Zip','City','State','Abb','Name1','Code1','Name2','Code2','lat','lon','Accuracy'], delimiter="\t",usecols=["Zip","City","State","Abb","lat","lon"])
-    file['Zip'] = file['Zip'].astype(str).str.zfill(5)
-    w = lambda x: (x[-5:])
-    filename = "NPIProviders.xlsx"
-    df = pd.read_csv('Locations.csv',header = None,names = ['Zip','TIN','Name', 'Services','Age','Gender','StartDate','Questions','Entity'], skiprows=1,converters={'Zip':w },usecols="A,B,C,D,E,F,G,H,I")  
-    'Zip','TIN','Name', 'Services','Age','Gender','StartDate','Questions','Entity'
-     
-    df = df.merge(file, left_on = 'Zip', right_on = 'Zip', how='inner')
-    df = df.fillna(" ")
-    return df
 
 #queried_ctss = st.multiselect("Ctss",options=gen_load()["Ctss"].value_counts().reset_index())
-
-@st.cache(allow_output_mutation=True)
 def load_data(state = None,zip_code = None,city = None,age = None,male  = None,female = None,selected_cohorts = None) -> pd.DataFrame:
     df = gen_load()
     try: