Update app.py

app.py

@@ -6,7 +6,6 @@ from datasets import load_dataset
 import folium
 from streamlit_folium import st_folium
 from geopy.geocoders import Nominatim
-from shadcn.ui import Card, CardContent, Button
 
 # Initialize geolocator
 geolocator = Nominatim(user_agent="geoapiExercises")
@@ -164,14 +163,20 @@ def recommend_deployment(data):
     if data.empty:
         return "No viable deployment regions within the specified parameters."
     best_region = data.loc[data["Composite Score"].idxmax()]
-    return f"Recommended Region: {best_region['Region']} with Composite Score: {best_region['Composite Score']:.2f}, Signal Strength: {best_region['Signal Strength (dBm)']} dBm, Terrain Difficulty: {best_region['Terrain Difficulty (0-10)']}, Climate Risk: {best_region['Climate Risk (0-10)']}, and Estimated Cost: ${best_region['Cost ($1000s)']}k\nDescription: {best_region['Description']}\nLocation Name: {best_region.get('Location Name', 'N/A')}"
+    return f"**Recommended Region:** {best_region['Region']}  \n" \
+           f"**Composite Score:** {best_region['Composite Score']:.2f}  \n" \
+           f"**Signal Strength:** {best_region['Signal Strength (dBm)']} dBm  \n" \
+           f"**Terrain Difficulty:** {best_region['Terrain Difficulty (0-10)']}  \n" \
+           f"**Climate Risk:** {best_region['Climate Risk (0-10)']}  \n" \
+           f"**Estimated Cost:** ${best_region['Cost ($1000s)']}k  \n" \
+           f"**Description:** {best_region['Description']}  \n" \
+           f"**Location Name:** {best_region.get('Location Name', 'N/A')}"
 
 recommendation = recommend_deployment(filtered_data)
 
-# Display Recommendation in a Card
+# Display Recommendation
 st.markdown("### 🌟 Final Recommendation")
-with st.container():
-    st.markdown(f"**{recommendation}**")
+st.markdown(recommendation)
 
 # Footer
 st.sidebar.markdown("---")