Update app.py

app.py

@@ -54,9 +54,13 @@ def google_address(address):
     df['Website'] = df['Link'].apply(extract_website_domain)
     
     df['Square Footage']=df['Description'].str.extract(r"((\d+) Square Feet|(\d+) sq. ft.|(\d+) sqft|(\d+) Sq. Ft.|(\d+) sq|(\d+(?:,\d+)?) Sq\. Ft\.)")[0]
-    df['Square Footage']=df['Square Footage'].replace({',':''},regex=True).str.replace(r'\D', '')
+    df['Square Footage']=df['Square Footage'].str.extract(r'([\d.]+)').astype(float)
+
     df['Beds']=df['Description'].replace({'-':' ','total':''},regex=True).str.extract(r"(\d+) bed")
-    df['Baths']=df['Description'].replace({'-':' ','total':''},regex=True).str.extract(r"(\d+) bath")
+    
+    df['Baths']=df['Description'].replace({'-':' ','total':''},regex=True).str.extract(r"((\d+) bath|(\d+(?:\.\d+)?) bath)")[0]
+    df['Baths']=df['Baths'].str.extract(r'([\d.]+)').astype(float)
+    
     df['Year Built']=df['Description'].str.extract(r"built in (\d{4})")
     
     df_final=df[df['Address'].notnull()]