Update app.py

app.py

@@ -35,17 +35,25 @@ def user_query_recommend(query, price_rng):
         
     op=recommendations\
             .groupby("name")\
-            .agg({"sim":"max"})\
+            .sim.nlargest(3)\
             .reset_index()\
-            .set_axis(["name","sim"],axis='columns')
+            [["name","sim"]]
 
     op = pd.merge(op, 
                   recommendations[['name', 'category', 'price', 'description','description_sent','sim']],
                   how="left",on=["name",'sim'])
 
-    op = op.sort_values('sim',ascending=False).loc[(op.price >= min_p) & (op.price <= max_p), ['name', 'price', 'description_sent']]
+    op = op.loc[(op.price >= min_p) & (op.price <= max_p),
+                ['name', 'category', 'price', 'description', 'description_sent','sim']].sort_values('sim',ascending=False)\
+            .groupby(['name', 'category', 'price', 'description'])\
+            .agg({"description_sent": lambda x: " ".join(x),
+                  "sim":['max']})\
+            .reset_index()\
+            .set_axis(['name', 'category', 'price', 'description', 'description_sent','sim'],axis="columns")
+
+     #op = op.loc[(op.price >= min_p) & (op.price <= max_p), ['name', 'price', 'description_sent']]
 
-    return op.reset_index(drop=True).head(6)
+    return op[['name', 'price', 'description_sent']].reset_index(drop=True).head(6)
     
 interface = gr.Interface(
     user_query_recommend,