Update app.py

app.py

@@ -54,6 +54,19 @@ predictions = get_price_predictions(location, sqft, bhk1)
 prices_table = pd.DataFrame(predictions, columns=[f"{i+1} BHK" for i in range(bhk1)], index=[f"{i} Bathrooms" for i in range(1, bath1+1)])
 st.table(prices_table)
 
+
+# Google Map embedding
+st.components.v1.html("""
+    <iframe src="https://www.google.com/maps/embed?pb=!1m18!1m12!1m3!1d248849.56659330425!2d77.46612584428054!3d12.954280236534027!2m3!1f0!2f0!3f0!3m2!1i1024!2i768!4f13.1!3m3!1m2!1s0x3bae1670c9b44e6d%3A0xf8dfc3e8517e4fe0!2sBengaluru%2C%20Karnataka!5e0!3m2!1sen!2sin!4v1721196570239!5m2!1sen!2sin" 
+        width="600" 
+        height="450" 
+        style="border:0;" 
+        allowfullscreen="" 
+        loading="lazy" 
+        referrerpolicy="no-referrer-when-downgrade">
+    </iframe>
+""", height=500)
+
 # Plot graphs for each number of BHKs
 fig, axs = plt.subplots(bhk1, 1, figsize=(10, bhk1*5), sharex=True)
 bath_values = range(1, 6)