Update app.py

app.py

@@ -97,27 +97,27 @@ elif user_type == 'Existing User':
             recommendations = recommend_laptops(user_id=int(existing_user_id))
             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']})")
+                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.")