Update app.py

app.py

@@ -74,11 +74,11 @@ def research_write_review_topic(query: str) -> str:
 
 with gr.Blocks() as server_info:
     gr.Markdown("""
-    # MCP powered RAG and Research
+    # MCP-Powered RAG and Research Topic
 
-    I present to you a MCP powered RAG and Research.
+    I present to you an MCP-powered RAG and Research.
 
-    RAG Tool uses GroundX service to fetch the knowledge base. The knowledge base is a document that contains information about the SU-35 aircraft, including its features, capabilities, and specifications.
+    RAG Tool uses the GroundX service to fetch the knowledge base. The knowledge base is a document that contains information about the SU-35 aircraft, including its features, capabilities, and specifications.
     Please check [this PDF](https://airgroup2000.com/gallery/albums/userpics/32438/SU-35_TM_eng.pdf) to formulate queries on Sukhoi.
 
     The Research Tool is implemented using multi-agent workflow using LlamaIndex (ResearchAgent, WriteAgent, and ReviewAgent).
@@ -102,7 +102,7 @@ with gr.Blocks() as server_info:
     - Use the MCP RAG Tool tab above to query the knowledge base.
     - Use the Research Tool tab above to write report on any topic.
 
-    ## Demo Link
+    ## Watch the Demo Video here
     [Link to Demo on Youtube](https://youtu.be/wvHBqW2ABGg)
     """)
 
@@ -125,8 +125,8 @@ research_tool = gr.Interface(
 
 named_interfaces = {
     "Project Information": server_info,
-    "RAG - Tool": mcp_rag_tool,
-    "Research a Topic - Tool": research_tool
+    "Search Knowledge Base": mcp_rag_tool,
+    "Research a Topic": research_tool
 }
 
 # Tab names and interfaces
@@ -136,7 +136,7 @@ interface_list = list(named_interfaces.values())
 mcp_server = gr.TabbedInterface(
     interface_list,
     tab_names=tab_names,
-    title="👁 MCP powered RAG and Research 🌍"
+    title="👁 MCP-Powered RAG and Research Topic 🌍"
 )
 
 # Launch the MCP Server