Update run.py

Bing AI modified code to be Minnesota, and some towns in MN instead of NY Boroughs. geektony

run.py

@@ -3,15 +3,14 @@ import pandas as pd
 import plotly.graph_objects as go
 from datasets import load_dataset
 
-dataset = load_dataset("gradio/NYC-Airbnb-Open-Data", split="train")
+dataset = load_dataset("gradio/Minnesota-Airbnb-Open-Data", split="train")
 df = dataset.to_pandas()
 
-def filter_map(min_price, max_price, boroughs):
-
-    filtered_df = df[(df['neighbourhood_group'].isin(boroughs)) & 
-          (df['price'] > min_price) & (df['price'] < max_price)]
-    names = filtered_df["name"].tolist()
-    prices = filtered_df["price"].tolist()
+def filter_map(min_price, max_price, towns):
+    new_df = df[(df['town'].isin(towns)) & 
+            (df['price'] > min_price) & (df['price'] < max_price)]
+    names = new_df["name"].tolist()
+    prices = new_df["price"].tolist()
     text_list = [(names[i], prices[i]) for i in range(0, len(names))]
     fig = go.Figure(go.Scattermapbox(
             customdata=text_list,
@@ -31,8 +30,8 @@ def filter_map(min_price, max_price, boroughs):
         mapbox=dict(
             bearing=0,
             center=go.layout.mapbox.Center(
-                lat=40.67,
-                lon=-73.90
+                lat=45.69,
+                lon=-94.44
             ),
             pitch=0,
             zoom=9