image correct

app.py

@@ -284,6 +284,17 @@ Example of Customer Profile in Graph
 ![Customer Needs and Pain Points](https://i.postimg.cc/D03Sstqd/knowledge-graph1.png)
 ![Accumulated Interaction for the same Customer Needs and Pain Points](https://i.postimg.cc/9ffZQ5pD/knowledge-graph2.png)
 
+![Customer Needs and Pain Points.](./knowledge-graph1.png)
+![Accumulated Interaction for the same Customer Needs and Pain Points.](./knowledge-graph2.png)
+
+![Customer Needs and Pain Points..](file=./knowledge-graph1.png)
+![Accumulated Interaction for the same Customer Needs and Pain Points..](file=./knowledge-graph2.png)
+
+#### Customer Needs and Pain Points
+https://i.postimg.cc/D03Sstqd/knowledge-graph1.png
+#### Accumulated Interaction for the same Customer Needs and Pain Points
+https://i.postimg.cc/9ffZQ5pD/knowledge-graph2.png
+
 Benefits of a Knowledge Graph
 ============
 - Smarter Data Relationships
@@ -450,6 +461,13 @@ Example of Call Resolution
 
 ![Resolution for Clear Picture about Customer Issue](https://i.postimg.cc/J4qsDYtZ/entity.png)
 
+![Resolution for Clear Picture about Customer Issue.](./entity.png)
+
+![Resolution for Clear Picture about Customer Issue..](file=./entity.png)
+
+#### Resolution for Clear Picture about Customer Issue
+https://i.postimg.cc/J4qsDYtZ/entity.png
+
 Companies like RBC, Comcast, or BMO often face a recurring challenge: long, complex customer service calls filled with vague product references, overlapping account details, and unstructured issue descriptions. This makes it difficult for support teams and analytics engines to extract clear insights or resolve recurring pain points across accounts and products.
 
 How can teams automatically stitch together fragmented mentions of the same customer, product, or issue—across call transcripts, CRM records, and support tickets—to form a unified view of the actual problem?
@@ -460,4 +478,4 @@ For example, Comcast reduced repeat service calls by 17% after deploying entity
 
 The result? Less agent time lost, higher customer satisfaction, and data pipelines that actually speak human.
     """)
-demo.launch(allowed_paths=["./"])
+demo.launch(allowed_paths=["."])