DIscount Price Calculation and tune the similarity

AirbnbMapVisualiser.py

@@ -345,22 +345,16 @@ class AirbnbMapVisualiser:
                     review_similarity = self.compute_similarity(query_embedding, review_embedding)
 
             # Determine which source matched better
-            if title_similarity > 0.7 and review_similarity > 0.7:
+            if title_similarity > 0.2 and review_similarity > 0.2:
                 return "Strong match in title and reviews"
-            elif title_similarity > 0.7:
+            elif title_similarity > 0.2:
                 return "Strong match in listing title"
-            elif review_similarity > 0.7:
+            elif review_similarity > 0.2:
                 return "Strong match in reviews"
-            elif title_similarity > review_similarity:
-                return "Better match in listing title"
-            elif review_similarity > title_similarity:
-                return "Better match in reviews"
-            else:
-                return "Moderate semantic match"
 
         # Only calculate match source if score is above threshold
         df['matching_features'] = df.apply(
-            lambda row: get_match_source(row) if row['relevance_score'] > 0.3 else "Low semantic match",
+            lambda row: get_match_source(row) if row['relevance_score'] > 0.2 else "Low semantic match",
             axis=1
         )
 

app.py

@@ -7,6 +7,7 @@ import math
 from AirbnbMapVisualiser import AirbnbMapVisualiser
 from huggingface_hub import login
 
+
 def load_css(css_file):
     with open(css_file) as f:
         st.markdown(f'<style>{f.read()}</style>', unsafe_allow_html=True)
@@ -131,9 +132,9 @@ def main():
 
                 * **Purple Camera Icons**: Areas with heavier traffic (more than 5 vehicles)
                   * Standard rates apply for these properties
-                  
+
                 Look for the blue connecting lines on the map to see which traffic spot affects each property!
-                
+
                 Remark : Currently only few traffic spot avaliable, in the future will provide more.
             """)
             if st.button("Close", key="close_traffic_btn"):
@@ -262,6 +263,31 @@ def main():
             row = df.iloc[idx]
             background_color = "#E3F2FD" if st.session_state.selected_id == row['id'] else "white"
 
+            # Calculate discount based on nearest traffic spot
+            discounted_price = row['price']
+            discount_tag = ""
+
+            # Find nearest traffic spot for this listing
+            listing_lat = row['latitude']
+            listing_lng = row['longitude']
+
+            # Use the visualizer's method to find the nearest traffic spot
+            nearest_spot, distance = visualizer.find_nearest_traffic_spot(listing_lat, listing_lng)
+
+            # Apply discount if there's a nearest spot
+            if nearest_spot:
+                discount_rate = nearest_spot.get_discount_rate()
+                if discount_rate > 0:
+                    discounted_price = row['price'] * (1 - discount_rate)
+                    discount_percentage = int(discount_rate * 100)
+                    discount_tag = f"""<span class="discount-tag">-{discount_percentage}%</span>"""
+
+            # Price display logic
+            if discount_tag:
+                price_display = f"""<p class="listing-info">💰 <span class="original-price">${row['price']:.0f}</span> <span class="discounted-price">${discounted_price:.0f}</span> {discount_tag}</p>"""
+            else:
+                price_display = f"""<p class="listing-info">💰 ${row['price']:.0f}</p>"""
+
             relevance_info = ""
             if st.session_state.search_query and 'relevance_percentage' in row:
                 relevance_info = f"""<p class="listing-info"> 🎯 Relevance: {row['relevance_percentage']:.0f}% </p>"""
@@ -273,7 +299,7 @@ def main():
             st.markdown(f"""
                 <div class="listing-card" style="background-color: {background_color}">
                     <h4 class="listing-title">{escape(str(row['name']))}</h4>
-                    <p class="listing-info">💰 ${row['price']:.0f}</p>
+                    {price_display}
                     <p class="listing-info">🏠 {escape(str(row['room_type']))}</p>
                     <p class="listing-info">⭐ Reviews: {row['number_of_reviews']:.0f}</p>
                     {relevance_info}</div>
@@ -354,4 +380,4 @@ if __name__ == "__main__":
         login(token=token)
         main()
     else:
-     main()
+        main()

style.css

@@ -418,3 +418,22 @@
     border-radius: 2px;
     font-weight: bold;
 }
+.original-price {
+    text-decoration: line-through;
+    color: #999;
+    margin-right: 5px;
+}
+
+.discounted-price {
+    font-weight: bold;
+    color: #2e7d32;
+}
+
+.discount-tag {
+    background-color: #4caf50;
+    color: white;
+    padding: 2px 5px;
+    border-radius: 3px;
+    font-size: 0.8em;
+    margin-left: 5px;
+}