Update app.py

app.py

@@ -59,10 +59,32 @@ if user_type == 'New User':
     new_user_gender = st.radio("Gender:", ['Male', 'Female'])
 
 # Button to get recommendations for new users
-    if st.button("Get Laptop Recommendations"):
+    if st.button("Get Recommendations"):
         recommendations = recommend_laptops(age=new_user_age, category=new_user_category, gender=new_user_gender)
         st.subheader("Top 5 Recommended Laptops:")
-        st.dataframe(recommendations[['Laptop_ID', 'Laptop_Name', 'Predicted_Rating']], index=False)
+        for i, row in recommendations.iterrows():
+            st.subheader(f"{i + 1}. {row['Laptop_Name']} - Price: ₹{row['Price (in Indian Rupees)']}")
+            st.markdown(f"**Specifications:**\n"
+                        f"Type: {row['Type']}\n"
+                        f"Dedicated Graphic Memory Capacity: {row['Dedicated Graphic Memory Capacity']}\n"
+                        f"Processor Brand: {row['Processor Brand']}\n"
+                        f"SSD: {row['SSD']}\n"
+                        f"RAM (in GB): {row['RAM (in GB)']}\n"
+                        f"Expandable Memory: {row['Expandable Memory']}\n"
+                        f"Operating System: {row['Operating System']}\n"
+                        f"Touchscreen: {row['Touchscreen']}\n"
+                        f"Screen Size (in inch): {row['Screen Size (in inch)']}\n"
+                        f"Weight (in kg): {row['Weight (in kg)']}\n"
+                        f"Refresh Rate: {row['Refresh Rate']}\n"
+                        f"Screen Resolution: {row['screen_resolution']}\n"
+                        f"Company: {row['company']}\n"
+                        f"Storage: {row['Storage']}\n"
+                        f"Processor Name: {row['Processor name']}\n"
+                        f"CPU Ranking: {row['CPU_ranking']}\n"
+                        f"Battery Backup: {row['battery_backup']}\n"
+                        f"GPU Name: {row['gpu name ']}\n"
+                        f"GPU Benchmark: {row['gpu_benchmark']}\n"
+            st.markdown(f"[Buy Here]({row['link']})")
 
 # User input for existing users
 elif user_type == 'Existing User':
@@ -73,7 +95,29 @@ elif user_type == 'Existing User':
     if st.button("Get aptop Recommendations"):
         if existing_user_id:
             recommendations = recommend_laptops(user_id=int(existing_user_id))
-            st.subheader(f"Top 5 Recommended Laptops for User ID {existing_user_id}:")
-            st.dataframe(recommendations[['Laptop_ID', 'Laptop_Name', 'Predicted_Rating']], index=False)
+            st.subheader(f"Top 5 Recommended Laptops for User {existing_user_id}:")
+            for i, row in recommendations.iterrows():
+            st.subheader(f"{i + 1}. {row['Laptop_Name']} - Price: ₹{row['Price (in Indian Rupees)']}")
+            st.markdown(f"**Specifications:**\n"
+                        f"Type: {row['Type']}\n"
+                        f"Dedicated Graphic Memory Capacity: {row['Dedicated Graphic Memory Capacity']}\n"
+                        f"Processor Brand: {row['Processor Brand']}\n"
+                        f"SSD: {row['SSD']}\n"
+                        f"RAM (in GB): {row['RAM (in GB)']}\n"
+                        f"Expandable Memory: {row['Expandable Memory']}\n"
+                        f"Operating System: {row['Operating System']}\n"
+                        f"Touchscreen: {row['Touchscreen']}\n"
+                        f"Screen Size (in inch): {row['Screen Size (in inch)']}\n"
+                        f"Weight (in kg): {row['Weight (in kg)']}\n"
+                        f"Refresh Rate: {row['Refresh Rate']}\n"
+                        f"Screen Resolution: {row['screen_resolution']}\n"
+                        f"Company: {row['company']}\n"
+                        f"Storage: {row['Storage']}\n"
+                        f"Processor Name: {row['Processor name']}\n"
+                        f"CPU Ranking: {row['CPU_ranking']}\n"
+                        f"Battery Backup: {row['battery_backup']}\n"
+                        f"GPU Name: {row['gpu name ']}\n"
+                        f"GPU Benchmark: {row['gpu_benchmark']}\n"
+            st.markdown(f"[Buy Here]({row['link']})")
         else:
             st.warning("Please enter a valid user ID.")