Update app.py

app.py

@@ -26,18 +26,26 @@ def user_query_recommend(query, price_rng):
     # Recommend
     recommendations = reviews.copy()
     recommendations['sim'] = sim_scores.T
-    recommendations = recommendations.sort_values('sim', ascending=False)
     if price_rng == "$0-$50":
         min_p, max_p = 0, 50
     if price_rng == "$50-$100":
         min_p, max_p = 50, 100
     if price_rng == "$100+":
         min_p, max_p = 100, 10000
-    recommendations = recommendations.loc[(recommendations.price >= min_p) &
-                                          (recommendations.price <= max_p),
-                                          ['name', 'price', 'description']].head(5)
+        
+    op=recommendations\
+            .groupby("name")\
+            .agg({"sim":"max"})\
+            .reset_index()\
+            .set_axis(["name","sim"],axis='columns')
 
-    return recommendations.reset_index(drop=True)
+    op = pd.merge(op, 
+                  recommendations[['name', 'category', 'price', 'description','description_sent','sim']],
+                  how="left",on=["name",'sim'])
+
+    op = op.loc[(op.price >= min_p) & (op.price <= max_p), ['Name', 'Price', 'Description', 'Sim']]
+
+    return op.sort_values('sim',ascending=False).reset_index(drop=True).head(10)
     
 interface = gr.Interface(
     user_query_recommend,