Update app.py

app.py

@@ -2,11 +2,11 @@ import streamlit as st
 import pandas as pd
 import numpy as np
 from datasets import load_dataset
-st.title("World Map")
-loc = 'https://github.optum.com/raw/clinical/ocm-ml/8fe218a281f6c13067d272664bd133f754212379/priorauth/utils/us-zip-code-latitude-and-longitude.txt'
-dataset = load_dataset("json", data_files={"train": base_url + "train-v1.1.json", "validation": base_url + "dev-v1.1.json"}, field="data")
-print(dataset)
-places_seen = pd.DataFrame({
+
+st.title('Map')
+dataset = load_dataset("csv", data_files="my_file.csv")
+
+locs = pd.DataFrame({
      'cities' : ['Madison', 'Pittsburgh', 'Dallas', 'San Francisco','Los Angeles','Orlando', 'Miami', 'Tampa Bay', 'Buffalo','Boston','Washington D.C.', 'Atlanta', 'Houston', 'Austin','San Diego','Richmond', 'Myrtle Beach', 'Milwaukee','Detroit','UIUC', 'Purdue', 'Columbus','Lancaster','Alamo','Delaware', 'Cleveland', 'Louisville', 'Nashville','San Diego','Concord', 'Rochester', 'Santa Domingo', 'Toronto','San Juan','Las Vegas', 'Niagara Falls', 'Grand Canyon','Hyderabad','Guntur','Mutlur','Bapatla','Vijayawada','Ongole','Tirupati'],
      
     'lat' : [43.073051, 40.440624,  32.776665, 37.774929,34.0522,28.5384,25.7617,27.7634,42.8864,
@@ -20,5 +20,5 @@ places_seen = pd.DataFrame({
     -76.3055, -98.1231,-75.5277,-81.6944,-85.7585,-86.7816,-117.1611,-71.5376,-77.6088,-69.9312,-79.3832,-66.1057,
     -115.1391,-79.0377,-112.1129, 78.4867, 80.4365,80.4841, 80.4671, 80.6480, 80.0499, 79.4192]})
 
-st.map(places_seen)
-st.dataframe(places_seen)
+st.map(locs)
+st.dataframe(locs)